Nature Methods

Papers
(The median citation count of Nature Methods is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
ColabFold: making protein folding accessible to all3199
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation2474
Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm1654
Cellpose: a generalist algorithm for cellular segmentation1364
Sensitive protein alignments at tree-of-life scale using DIAMOND1223
Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction790
Feature-based molecular networking in the GNPS analysis environment647
Single-cell chromatin state analysis with Signac591
Martini 3: a general purpose force field for coarse-grained molecular dynamics553
Macromolecular modeling and design in Rosetta: recent methods and frameworks499
Method of the Year: spatially resolved transcriptomics424
metaFlye: scalable long-read metagenome assembly using repeat graphs424
Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices407
Benchmarking atlas-level data integration in single-cell genomics401
diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition390
Effective gene expression prediction from sequence by integrating long-range interactions372
Museum of spatial transcriptomics353
Advances and challenges for fluorescence nanothermometry341
Squidpy: a scalable framework for spatial omics analysis303
CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networks299
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network286
CellRank for directed single-cell fate mapping284
Spatial omics and multiplexed imaging to explore cancer biology280
Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram279
Next-generation GRAB sensors for monitoring dopaminergic activity in vivo278
TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines269
Multi-particle cryo-EM refinement with M visualizes ribosome-antibiotic complex at 3.5 Å in cells257
Deciphering molecular interactions by proximity labeling255
Philosopher: a versatile toolkit for shotgun proteomics data analysis252
Joint probabilistic modeling of single-cell multi-omic data with totalVI243
Improvement of cryo-EM maps by density modification233
Cellpose 2.0: how to train your own model231
Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes227
An optimized acetylcholine sensor for monitoring in vivo cholinergic activity213
Low-N protein engineering with data-efficient deep learning212
Evaluation and development of deep neural networks for image super-resolution in optical microscopy209
The emerging landscape of single-molecule protein sequencing technologies198
SLEAP: A deep learning system for multi-animal pose tracking197
DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning192
Critical assessment of protein intrinsic disorder prediction187
High-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing184
Programmable RNA editing with compact CRISPR–Cas13 systems from uncultivated microbes183
Screening for functional circular RNAs using the CRISPR–Cas13 system176
SpaceM reveals metabolic states of single cells170
Spatially resolved transcriptomics adds a new dimension to genomics169
Joint profiling of histone modifications and transcriptome in single cells from mouse brain167
Multi-animal pose estimation, identification and tracking with DeepLabCut164
The power of imaging to understand extracellular vesicle biology in vivo162
A general method to optimize and functionalize red-shifted rhodamine dyes156
Exosome detection via the ultrafast-isolation system: EXODUS153
Spatial mapping of protein composition and tissue organization: a primer for multiplexed antibody-based imaging153
Meltome atlas—thermal proteome stability across the tree of life152
Oxford Nanopore R10.4 long-read sequencing enables the generation of near-finished bacterial genomes from pure cultures and metagenomes without short-read or reference polishing148
A comparison of microfluidic methods for high-throughput cell deformability measurements148
Predicting 3D genome folding from DNA sequence with Akita144
Protein structure predictions to atomic accuracy with AlphaFold144
Ultra-high-performance liquid chromatography high-resolution mass spectrometry variants for metabolomics research144
AlphaFill: enriching AlphaFold models with ligands and cofactors142
SNT: a unifying toolbox for quantification of neuronal anatomy141
Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution139
Defining the carrier proteome limit for single-cell proteomics138
Critical Assessment of Metagenome Interpretation: the second round of challenges136
An expanded palette of dopamine sensors for multiplex imaging in vivo135
Targeted Perturb-seq enables genome-scale genetic screens in single cells134
Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads133
Fast and comprehensive N- and O-glycoproteomics analysis with MSFragger-Glyco132
The triumphs and limitations of computational methods for scRNA-seq132
Cumulus provides cloud-based data analysis for large-scale single-cell and single-nucleus RNA-seq131
TRUST4: immune repertoire reconstruction from bulk and single-cell RNA-seq data131
Simultaneous profiling of chromatin accessibility and methylation on human cell lines with nanopore sequencing129
High-throughput and single-cell T cell receptor sequencing technologies129
Spatially resolved single-cell genomics and transcriptomics by imaging129
Ultra-high-throughput single-cell RNA sequencing and perturbation screening with combinatorial fluidic indexing124
Novel NanoLuc substrates enable bright two-population bioluminescence imaging in animals123
Caveat fluorophore: an insiders’ guide to small-molecule fluorescent labels123
Deep learning enables fast and dense single-molecule localization with high accuracy122
DeepImageJ: A user-friendly environment to run deep learning models in ImageJ121
Real-time volumetric reconstruction of biological dynamics with light-field microscopy and deep learning120
QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data119
Up to 100-fold speed-up and multiplexing in optimized DNA-PAINT118
Accelerated cryo-EM-guided determination of three-dimensional RNA-only structures118
An efficient KRAB domain for CRISPRi applications in human cells117
Multiplexed Cre-dependent selection yields systemic AAVs for targeting distinct brain cell types116
LIVECell—A large-scale dataset for label-free live cell segmentation116
The SEIRS model for infectious disease dynamics114
Intelligent image-based deformation-assisted cell sorting with molecular specificity111
Miniature two-photon microscopy for enlarged field-of-view, multi-plane and long-term brain imaging111
Systematic evaluation of chromosome conformation capture assays110
Geometric deep learning enables 3D kinematic profiling across species and environments110
L1CAM is not associated with extracellular vesicles in human cerebrospinal fluid or plasma110
Metabolite discovery through global annotation of untargeted metabolomics data110
Imaging intact human organs with local resolution of cellular structures using hierarchical phase-contrast tomography109
SMAP: a modular super-resolution microscopy analysis platform for SMLM data109
Combining native and ‘omics’ mass spectrometry to identify endogenous ligands bound to membrane proteins108
Single-molecule FRET imaging of GPCR dimers in living cells107
DeepC: predicting 3D genome folding using megabase-scale transfer learning106
Outbreak.info genomic reports: scalable and dynamic surveillance of SARS-CoV-2 variants and mutations105
The impact of AlphaFold2 one year on105
A systematic evaluation of the design and context dependencies of massively parallel reporter assays105
Simultaneous cortex-wide fluorescence Ca2+ imaging and whole-brain fMRI104
A compact Cascade–Cas3 system for targeted genome engineering103
DOME: recommendations for supervised machine learning validation in biology102
Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability in cryo-EM101
A practical guide to cancer subclonal reconstruction from DNA sequencing101
METLIN MS2 molecular standards database: a broad chemical and biological resource101
Massively parallel and time-resolved RNA sequencing in single cells with scNT-seq100
A rationally engineered cytosine base editor retains high on-target activity while reducing both DNA and RNA off-target effects99
Deep learning-based point-scanning super-resolution imaging97
Reproducibility standards for machine learning in the life sciences97
Lineage recording in human cerebral organoids97
3D mapping and accelerated super-resolution imaging of the human genome using in situ sequencing97
Genetic tool development in marine protists: emerging model organisms for experimental cell biology96
MCMICRO: a scalable, modular image-processing pipeline for multiplexed tissue imaging96
gEAR: Gene Expression Analysis Resource portal for community-driven, multi-omic data exploration95
Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes94
FlyWire: online community for whole-brain connectomics94
The ENIGMA Toolbox: multiscale neural contextualization of multisite neuroimaging datasets94
O-Pair Search with MetaMorpheus for O-glycopeptide characterization94
Time-resolved cryo-EM using Spotiton92
DeepLC can predict retention times for peptides that carry as-yet unseen modifications92
Click-ExM enables expansion microscopy for all biomolecules91
High-speed, cortex-wide volumetric recording of neuroactivity at cellular resolution using light beads microscopy91
US-align: universal structure alignments of proteins, nucleic acids, and macromolecular complexes89
ZipSeq: barcoding for real-time mapping of single cell transcriptomes89
DeepCell Kiosk: scaling deep learning–enabled cellular image analysis with Kubernetes89
GPCRmd uncovers the dynamics of the 3D-GPCRome88
Putative cell type discovery from single-cell gene expression data88
Plasmonic scattering imaging of single proteins and binding kinetics87
Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms86
Three-photon head-mounted microscope for imaging deep cortical layers in freely moving rats85
Live-cell super-resolved PAINT imaging of piconewton cellular traction forces84
MARS: discovering novel cell types across heterogeneous single-cell experiments83
CRISPR-assisted detection of RNA–protein interactions in living cells83
Understudied proteins: opportunities and challenges for functional proteomics83
Discovering multiple types of DNA methylation from bacteria and microbiome using nanopore sequencing83
neuromaps: structural and functional interpretation of brain maps81
Systematic investigation of cytokine signaling activity at the tissue and single-cell levels80
Long-read mapping to repetitive reference sequences using Winnowmap280
Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers79
Scanless two-photon excitation with temporal focusing79
Megabodies expand the nanobody toolkit for protein structure determination by single-particle cryo-EM78
Precise, fast and comprehensive analysis of intact glycopeptides and modified glycans with pGlyco378
OME-NGFF: a next-generation file format for expanding bioimaging data-access strategies78
Optimizing imaging speed and excitation intensity for single-molecule localization microscopy77
ReDU: a framework to find and reanalyze public mass spectrometry data77
Robust single-cell discovery of RNA targets of RNA-binding proteins and ribosomes77
SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment77
High-definition imaging using line-illumination modulation microscopy75
Automatic detection of synaptic partners in a whole-brain Drosophila electron microscopy data set75
Multilayered VBC score predicts sgRNAs that efficiently generate loss-of-function alleles74
Deep learning-enhanced light-field imaging with continuous validation74
Human organoid models to study SARS-CoV-2 infection73
StrucGP: de novo structural sequencing of site-specific N-glycan on glycoproteins using a modularization strategy73
Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge73
A ‘Build and Retrieve’ methodology to simultaneously solve cryo-EM structures of membrane proteins72
A versatile polypharmacology platform promotes cytoprotection and viability of human pluripotent and differentiated cells72
Spectral entropy outperforms MS/MS dot product similarity for small-molecule compound identification72
Method of the year: long-read sequencing71
T cell antigen discovery71
Optogenetic control of gene expression in plants in the presence of ambient white light71
The GlyCosmos Portal: a unified and comprehensive web resource for the glycosciences71
Modeling infectious epidemics71
High-resolution structural and functional deep brain imaging using adaptive optics three-photon microscopy70
Alignment and integration of spatial transcriptomics data70
Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis70
Emu: species-level microbial community profiling of full-length 16S rRNA Oxford Nanopore sequencing data70
Deep learning and protein structure modeling70
Genome-scale deconvolution of RNA structure ensembles69
Reinforcing neuron extraction and spike inference in calcium imaging using deep self-supervised denoising69
Method of the Year 2020: spatially resolved transcriptomics69
CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning68
Spatially resolved isotope tracing reveals tissue metabolic activity68
Genome-wide detection of enhancer-hijacking events from chromatin interaction data in rearranged genomes68
Targeted multicolor in vivo imaging over 1,000 nm enabled by nonamethine cyanines68
SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks68
Joint single-cell measurements of nuclear proteins and RNA in vivo68
Supervised enhancer prediction with epigenetic pattern recognition and targeted validation68
Mid-infrared metabolic imaging with vibrational probes67
Three-dimensional nanoscopy of whole cells and tissues with in situ point spread function retrieval67
MassIVE.quant: a community resource of quantitative mass spectrometry–based proteomics datasets67
High-sensitivity and high-specificity biomechanical imaging by stimulated Brillouin scattering microscopy66
Engineered HaloTag variants for fluorescence lifetime multiplexing66
Efficient targeted insertion of large DNA fragments without DNA donors66
Kethoxal-assisted single-stranded DNA sequencing captures global transcription dynamics and enhancer activity in situ65
Omnipose: a high-precision morphology-independent solution for bacterial cell segmentation65
Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender65
Highly specific multiplexed RNA imaging in tissues with split-FISH64
ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction64
REMBI: Recommended Metadata for Biological Images—enabling reuse of microscopy data in biology64
Best practices and tools for reporting reproducible fluorescence microscopy methods64
Deep three-photon imaging of the brain in intact adult zebrafish63
Challenges in benchmarking metagenomic profilers62
Identifying temporal and spatial patterns of variation from multimodal data using MEFISTO62
Spatially resolved transcriptomics in neuroscience61
Screening cell–cell communication in spatial transcriptomics via collective optimal transport61
Mechanistic modeling of chromatin folding to understand function61
Understanding the invisible hands of sample preparation for cryo-EM61
DaXi—high-resolution, large imaging volume and multi-view single-objective light-sheet microscopy61
Quantum computing at the frontiers of biological sciences61
Single-cell proteomics enabled by next-generation sequencing or mass spectrometry60
Pooled CRISPR screens with imaging on microraft arrays reveals stress granule-regulatory factors59
Cyclic immonium ion of lactyllysine reveals widespread lactylation in the human proteome59
Best practice standards for circular RNA research58
Directed evolution of adeno-associated virus for efficient gene delivery to microglia58
Impact of phosphorylation on thermal stability of proteins58
Removing independent noise in systems neuroscience data using DeepInterpolation57
Improved AlphaFold modeling with implicit experimental information57
Single-cell joint detection of chromatin occupancy and transcriptome enables higher-dimensional epigenomic reconstructions57
Avoiding a replication crisis in deep-learning-based bioimage analysis57
A hybrid open-top light-sheet microscope for versatile multi-scale imaging of cleared tissues56
NEAT-seq: simultaneous profiling of intra-nuclear proteins, chromatin accessibility and gene expression in single cells56
Multiplexed profiling facilitates robust m6A quantification at site, gene and sample resolution56
Transgenic mice for in vivo epigenome editing with CRISPR-based systems55
Mass photometry enables label-free tracking and mass measurement of single proteins on lipid bilayers54
Pycro-Manager: open-source software for customized and reproducible microscope control54
Metagenome assembly of high-fidelity long reads with hifiasm-meta54
CODA: quantitative 3D reconstruction of large tissues at cellular resolution53
Miniaturized head-mounted microscope for whole-cortex mesoscale imaging in freely behaving mice53
Single-cell metabolomics hits its stride53
Automated segmentation and tracking of mitochondria in live-cell time-lapse images53
Phasor S-FLIM: a new paradigm for fast and robust spectral fluorescence lifetime imaging53
Mapping the functional landscape of T cell receptor repertoires by single-T cell transcriptomics52
Animal models in SARS-CoV-2 research52
VDJdb in the pandemic era: a compendium of T cell receptors specific for SARS-CoV-252
Image-guided MALDI mass spectrometry for high-throughput single-organelle characterization52
RefMet: a reference nomenclature for metabolomics51
EthoLoop: automated closed-loop neuroethology in naturalistic environments51
Real-time 3D movement correction for two-photon imaging in behaving animals50
Detection of m6A from direct RNA sequencing using a multiple instance learning framework50
Cell surface thermal proteome profiling tracks perturbations and drug targets on the plasma membrane50
Parallel cryo electron tomography on in situ lamellae49
Investigating higher-order interactions in single-cell data with scHOT49
A genetically encoded sensor for in vivo imaging of orexin neuropeptides49
Fluorogenic DNA-PAINT for faster, low-background super-resolution imaging48
Isotropic super-resolution light-sheet microscopy of dynamic intracellular structures at subsecond timescales48
Homogeneous multifocal excitation for high-throughput super-resolution imaging48
MSNovelist: de novo structure generation from mass spectra48
Quantitative shotgun proteome analysis by direct infusion48
Elasticizing tissues for reversible shape transformation and accelerated molecular labeling48
Precision size and refractive index analysis of weakly scattering nanoparticles in polydispersions48
Challenges and opportunities for the next generation of cardiovascular tissue engineering47
Metabolomic profiling of single enlarged lysosomes47
Universal Spectrum Identifier for mass spectra47
Illumination guidelines for ultrafast pump–probe experiments by serial femtosecond crystallography47
A pan-tissue DNA methylation atlas enables in silico decomposition of human tissue methylomes at cell-type resolution47
3DFlex: determining structure and motion of flexible proteins from cryo-EM46
Advances in nanopore direct RNA sequencing46
An adaptive optics module for deep tissue multiphoton imaging in vivo45
jYCaMP: an optimized calcium indicator for two-photon imaging at fiber laser wavelengths44
Systematic calibration of epitranscriptomic maps using a synthetic modification-free RNA library44
0.048463106155396