Nature Methods

Papers
(The H4-Index of Nature Methods is 103. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
Robust fluorescent proteins for high-resolution microscopy and biochemical techniques7366
Interpreting and comparing neural activity across systems by geometric deep learning1329
Tamir Gonen955
BIONIC: biological network integration using convolutions935
Maximum-likelihood model fitting for quantitative analysis of SMLM data873
More dimensions of the 3D genome865
Exoskeleton empowers large-scale neural recordings in freely roaming mice854
Modeling locomotion from environment to neurons735
Analyzing submicron spatial transcriptomics data at their original resolution720
GWAS and eQTL disparity690
Subcellular omics: a new frontier pushing the limits of resolution, complexity and throughput633
Fast and efficient template-mediated synthesis of genetic variants577
MiLoPYP: self-supervised molecular pattern mining and particle localization in situ570
SNAP-tag2 improves live-cell imaging465
Scaling up spatial transcriptomics for large-sized tissues: uncovering cellular-level tissue architecture beyond conventional platforms with iSCALE457
Prediction of protein subcellular localization in single cells418
How noncoding RNAs began to leave the junkyard417
Recovery of missing single-cell RNA-sequencing data with optimized transcriptomic references366
Genome-wide profiling of prime editor off-target sites in vitro and in vivo using PE-tag357
Line-scanning speeds up Brillouin microscopy338
Detecting and correcting false transients in calcium imaging326
Large Stokes shift fluorescent RNAs for dual-emission fluorescence and bioluminescence imaging in live cells294
MRIcroGL: voxel-based visualization for neuroimaging293
Antibody stabilization for thermally accelerated deep immunostaining270
Tapioca: a platform for predicting de novo protein–protein interactions in dynamic contexts263
Unlocking the power of spatial omics with AI259
SurfDock is a surface-informed diffusion generative model for reliable and accurate protein–ligand complex prediction250
Annotating unknown metabolites247
A complete, telomere-to-telomere human genome sequence presents new opportunities for evolutionary genomics239
The Simularium Viewer: an interactive online tool for sharing spatiotemporal biological models238
Chromoscope: interactive multiscale visualization for structural variation in human genomes238
Single-cell multi-omic detection of DNA methylation and histone modifications reconstructs the dynamics of epigenomic maintenance238
Denoising Search doubles the number of metabolite and exposome annotations in human plasma using an Orbitrap Astral mass spectrometer234
Mass spectrometry imaging: the rise of spatially resolved single-cell omics229
DeepMainmast: integrated protocol of protein structure modeling for cryo-EM with deep learning and structure prediction228
MARBLE: interpretable representations of neural population dynamics using geometric deep learning226
Ultralong transients enhance sensitivity and resolution in Orbitrap-based single-ion mass spectrometry223
SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment211
Efficient targeted insertion of large DNA fragments without DNA donors210
Quest: my postdoc home207
BATTLES: high-throughput screening of antigen recognition under force202
Using machine learning to predict the structure of proteins that bind to DNA and RNA200
Setting standards for stem cells196
Non-invasive metabolic imaging of brown adipose tissue194
Sensitive protein analysis with plexDIA193
Tardigrades192
Tracking gene transfer using RNA tools190
One cell, two cell, dead cell, true cell188
The placozoan Trichoplax186
Benchmarking genomic language models181
Road trip home to start a lab179
Differentiating visceral sensory ganglion organoids from induced pluripotent stem cells165
Image-seq: spatially resolved single-cell sequencing guided by in situ and in vivo imaging165
Author Correction: Learning single-cell perturbation responses using neural optimal transport163
quantms: a cloud-based pipeline for quantitative proteomics enables the reanalysis of public proteomics data163
How developmental cell atlases inform stem cell embryo models162
The crustacean Parhyale161
Bat organoids at bat159
Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps156
From GWAS to single-cell MPRA156
Trawling the ocean virome151
ENTERing the world of immune cells147
FISHnet: detecting chromatin domains in single-cell sequential Oligopaints imaging data145
Peer review demystified: part 2144
A fluorogenic chemically induced dimerization technology for controlling, imaging and sensing protein proximity140
InterPLM: discovering interpretable features in protein language models via sparse autoencoders140
When labs welcome under-represented groups137
UDA-seq: universal droplet microfluidics-based combinatorial indexing for massive-scale multimodal single-cell sequencing136
Publisher Correction: Museum of spatial transcriptomics132
Profiling RNA at chromatin targets in situ by antibody-targeted tagmentation132
StayGold variants for molecular fusion and membrane-targeting applications132
De novo protein design with a denoising diffusion network independent of pretrained structure prediction models131
Mapping chromatin and DNA methylation landscapes at single-cell and single-molecule resolution131
The tidyomics ecosystem: enhancing omic data analyses127
Comparing classifier performance with baselines126
Time-resolved cryo-EM using a combination of droplet microfluidics with on-demand jetting124
Adaptable, turn-on maturation (ATOM) fluorescent biosensors for multiplexed detection in cells124
Detection of m6A from direct RNA sequencing using a multiple instance learning framework124
Genomics 2 Proteins portal: a resource and discovery tool for linking genetic screening outputs to protein sequences and structures123
VascuViz: a multimodality and multiscale imaging and visualization pipeline for vascular systems biology120
Long-read sequencing in the era of epigenomics and epitranscriptomics118
Indexing and searching petabase-scale nucleotide resources116
A graph neural network that combines scRNA-seq and protein–protein interaction data115
Decoding post-transcriptional regulatory networks by RNA-linked CRISPR screening in human cells115
The future of bioimage analysis: a dialog between mind and machine115
A method for quantitative and base-resolution sequencing of pseudouridine114
Deciphering subcellular organization with multiplexed imaging and deep learning113
The LGBTQ+ job hunt113
Neural networks built with biomolecules111
Tackling tumor complexity with single-cell proteomics110
Science while parenting110
Permittivity tensor imaging: modular label-free imaging of 3D dry mass and 3D orientation at high resolution109
Combining compact human protein domains with CRISPR systems for robust gene activation108
Interpretable representation learning for 3D multi-piece intracellular structures using point clouds108
Publisher Correction: ELI trifocal microscope: a precise system to prepare target cryo-lamellae for in situ cryo-ET study108
What makes a Nature Methods paper107
Method of the Year: protein structure prediction106
Propensity score weighting106
Building an automated three-dimensional flight agent for neural network reconstruction105
Mackenzie Weygandt Mathis105
CAD we share? Publishing reproducible microscope hardware105
Genomics beyond complete genomes103
Profiling the epigenetic landscape of the antigen receptor repertoire: the missing epi-immunogenomics data103
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