OOIR: Observatory of International Research

Papers

(The H4-Index of Computational and Structural Biotechnology Journal is 53. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Survival analysis across the entire transcriptome identifies biomarkers with the highest prognostic power in breast cancer	534
UCell: Robust and scalable single-cell gene signature scoring	351
The DisGeNET cytoscape app: Exploring and visualizing disease genomics data	300
Integration strategies of multi-omics data for machine learning analysis	263
From pyroptosis, apoptosis and necroptosis to PANoptosis: A mechanistic compendium of programmed cell death pathways	247
A review on machine learning approaches and trends in drug discovery	226
The language of proteins: NLP, machine learning & protein sequences	220
The oralome and its dysbiosis: New insights into oral microbiome-host interactions	219
Review on circular RNAs and new insights into their roles in cancer	212
Chemokines and chemokine receptors during COVID-19 infection	164
Network analysis methods for studying microbial communities: A mini review	161
Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis	142
Automated methods for cell type annotation on scRNA-seq data	142
Machine learning applications in microbial ecology, human microbiome studies, and environmental monitoring	131
Statistical methods for Mendelian randomization in genome-wide association studies: A review	126
Farnesoid X receptor (FXR): Structures and ligands	119
Nanopore sequencing and its application to the study of microbial communities	115
Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning	112
An overview of current COVID-19 vaccine platforms	111
Association of risk factors with type 2 diabetes: A systematic review	110
A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data	108
Accurate brain tumor detection using deep convolutional neural network	108
Recent advances in exploring the heavy metal(loid) resistant microbiome	93
The molecular feature of macrophages in tumor immune microenvironment of glioma patients	93
Phycobiliproteins: Structural aspects, functional characteristics, and biotechnological perspectives	91

A review on marine plastisphere: biodiversity, formation, and role in degradation	90
Machine learning and deep learning methods that use omics data for metastasis prediction	80
Dependence of SARS-CoV-2 infection on cholesterol-rich lipid raft and endosomal acidification	79
Machine learning in the prediction of cancer therapy	79
Alternative splicing: Human disease and quantitative analysis from high-throughput sequencing	73
On the road to explainable AI in drug-drug interactions prediction: A systematic review	72
Host transcriptomic profiling of COVID-19 patients with mild, moderate, and severe clinical outcomes	72
A review on compound-protein interaction prediction methods: Data, format, representation and model	71
Benchmarking of Nanopore R10.4 and R9.4.1 flow cells in single-cell whole-genome amplification and whole-genome shotgun sequencing	66
Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review	65
The genus Bifidobacterium: from genomics to functionality of an important component of the mammalian gut microbiota	63
Metabolic modelling approaches for describing and engineering microbial communities	63
Integrated metabolomics and network pharmacology to reveal the mechanisms of hydroxysafflor yellow A against acute traumatic brain injury	62
Stressed out: Bacterial response to high salinity using compatible solute biosynthesis and uptake systems, lessons from Vibrionaceae	62
Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis	60
Protein–protein interaction prediction with deep learning: A comprehensive review	59
QuPath: The global impact of an open source digital pathology system	59
Computational solutions for spatial transcriptomics	58
Skin microbiome transplantation and manipulation: Current state of the art	58
Statistical and machine learning methods for spatially resolved transcriptomics with histology	56
N1-methyladenosine modification in cancer biology: Current status and future perspectives	56
From sequence to function through structure: Deep learning for protein design	55
DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis	54
Mechanistic insights into the effect of phosphorylation on Ras conformational dynamics and its interactions with cell signaling proteins	54
Defining the wheat microbiome: Towards microbiome-facilitated crop production	53
Computational strategies for single-cell multi-omics integration	53
MULocDeep: A deep-learning framework for protein subcellular and suborganellar localization prediction with residue-level interpretation	53
Protein domain identification methods and online resources	53