Nature Methods

Papers
(The H4-Index of Nature Methods is 98. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
Combined sequencing of genomes and epigenomes5315
Super-resolution 3D live cell imaging2661
A celebration of structural biology2068
Human tonsils in a dish896
Jie Xiao781
Genome-wide analysis of structural variation628
Expanding views of the transcriptome577
iSCAT gets a signal boost569
Mapping human hematopoiesis542
Methods lead the way519
New happenings at Nature Methods511
Author Correction: Large-scale benchmarking of circRNA detection tools reveals large differences in sensitivity but not in precision486
Author Correction: Arkitekt: streaming analysis and real-time workflows for microscopy481
Capture of membrane proteins in their native membrane milieu431
Challenging the Astral mass analyzer to quantify up to 5,300 proteins per single cell at unseen accuracy to uncover cellular heterogeneity412
A multimodal whole-body atlas366
Label-free nanoscopy of cell metabolism by ultrasensitive reweighted visible stimulated Raman scattering366
Seeking more nucleases346
When peace arrives336
Inferring biological age from the transcriptome with RAPToR319
Robust fluorescent proteins for high-resolution microscopy and biochemical techniques278
How’s your health, forests?265
Deep learning method for the prediction of glycan structures from mass spectrometry data264
Biophysical modeling with variational autoencoders for bimodal, single-cell RNA sequencing data253
BIONIC: biological network integration using convolutions240
Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments237
Prioritized mass spectrometry increases the depth, sensitivity and data completeness of single-cell proteomics237
Automated synapse-level reconstruction of neural circuits in the larval zebrafish brain232
Nonnegative spatial factorization applied to spatial genomics229
Local shape descriptors for neuron segmentation227
Cell type-specific inference of differential expression in spatial transcriptomics210
Automatic detection of synaptic partners in a whole-brain Drosophila electron microscopy data set208
FlyWire: online community for whole-brain connectomics206
SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment201
SCITO-seq: single-cell combinatorial indexed cytometry sequencing196
MSNovelist: de novo structure generation from mass spectra195
Dual DNA and protein tagging of open chromatin unveils dynamics of epigenomic landscapes in leukemia188
Systematic calibration of epitranscriptomic maps using a synthetic modification-free RNA library185
Best practices for reporting throughput in biomedical research182
Chroma is a generative model for protein design182
Artificial intelligence gives neuron reconstruction a performance boost178
The long and winding road of development: a coordinated song of transcription factors177
Line-scanning speeds up Brillouin microscopy174
Fluorophores’ talk turns them dark171
Simultaneous single-cell three-dimensional genome and gene expression profiling uncovers dynamic enhancer connectivity underlying olfactory receptor choice164
Doubling the resolution of light-sheet fluorescence microscopy164
Subcellular omics: a new frontier pushing the limits of resolution, complexity and throughput163
ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differences162
Neural networks learn the motions of molecular machines161
A general method for chemogenetic control of peptide function152
GWAS and eQTL disparity148
Phasor plots and the future of spectral and lifetime imaging147
Long-term monosynaptic tracing147
DART.2: bidirectional synaptic pharmacology with thousandfold cellular specificity146
Assembling organs in vitro144
Dissecting subcellular architecture of whole cells143
Light-Seq: from microscopy to transcriptomics and back142
Deep-learning language models help to improve protein sequence alignment140
Ultra-long-working-distance multiphoton objective unlocks new possibilities for imaging137
Computation and biology: a partnership136
Breaking barriers for intravital imaging136
Vascular subtypes on a dish135
Diving deeper in the 3D genome133
Deep brain imaging on the move131
LocMoFit quantifies cellular structures in super-resolution data131
Targeted illumination confocal microscopy enables in vivo voltage imaging in thick tissue130
LiMCA: Hi-C gets an RNA twist129
LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals128
Integrating one’s LGBTQ+ identity into one’s science128
Reconstruction of dynamic mammary mini gland in vitro for normal physiology and oncogenesis127
Spatially resolved multiomics123
Ultralong transients enhance sensitivity and resolution in Orbitrap-based single-ion mass spectrometry122
Better detection for localization microscopy120
Chromoscope: interactive multiscale visualization for structural variation in human genomes119
Accessible computing platforms democratize neuroimaging data analysis119
Synthetic tissue environments119
SynNotch tuned for tension118
Navigating two-body challenges118
Soil researchers dig deeper into dirt’s complexity117
Modeling condensate formation in silico116
Deep learning identifies A-to-I RNA edits using nanopore sequencing data116
Tamir Gonen115
Editing naive CD4+ T cells113
A method to map single-cell lineages in the mouse brain by CRISPR-based barcoding113
Ex utero synthetic embryos112
Nanopores distinguish RNA modifications112
How regulatory sequences learn cell representations108
The chemistry of microbiome–host togetherness106
Reporting T cell proliferation106
Integration of mass cytometry and mass spectrometry imaging for spatially resolved single-cell metabolic profiling105
Fast and robust metagenomic sequence comparison through sparse chaining with skani105
MiLoPYP: self-supervised molecular pattern mining and particle localization in situ104
Synthetic condensates probe chromatin viscoelasticity104
Adventures in AI100
Ringside seats to a pandemic100
Analyzing submicron spatial transcriptomics data at their original resolution99
Disentangling parallel processes with BEYOND98
A decade of neuroscience98
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