Nature Methods

Papers
(The H4-Index of Nature Methods is 105. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Robust fluorescent proteins for high-resolution microscopy and biochemical techniques7933
Interpreting and comparing neural activity across systems by geometric deep learning1076
Tamir Gonen984
More dimensions of the 3D genome952
Exoskeleton empowers large-scale neural recordings in freely roaming mice882
Modeling locomotion from environment to neurons823
Analyzing submicron spatial transcriptomics data at their original resolution666
Annotating unknown metabolites636
SNAP-tag2 improves live-cell imaging628
How noncoding RNAs began to leave the junkyard560
Line-scanning speeds up Brillouin microscopy502
Fast and efficient template-mediated synthesis of genetic variants454
Detecting and correcting false transients in calcium imaging391
The Simularium Viewer: an interactive online tool for sharing spatiotemporal biological models390
Denoising Search doubles the number of metabolite and exposome annotations in human plasma using an Orbitrap Astral mass spectrometer386
Chromoscope: interactive multiscale visualization for structural variation in human genomes359
Single-cell multi-omic detection of DNA methylation and histone modifications reconstructs the dynamics of epigenomic maintenance344
MARBLE: interpretable representations of neural population dynamics using geometric deep learning335
Optimism for abundant whole-brain connectomes and connectomic screening334
Method of the Year 2025: electron microscopy-based connectomics291
Large Stokes shift fluorescent RNAs for dual-emission fluorescence and bioluminescence imaging in live cells285
Tapioca: a platform for predicting de novo protein–protein interactions in dynamic contexts284
Antibody stabilization for thermally accelerated deep immunostaining281
BIONIC: biological network integration using convolutions274
Ultralong transients enhance sensitivity and resolution in Orbitrap-based single-ion mass spectrometry273
GWAS and eQTL disparity265
MiLoPYP: self-supervised molecular pattern mining and particle localization in situ264
Prediction of protein subcellular localization in single cells261
Maximum-likelihood model fitting for quantitative analysis of SMLM data258
A complete, telomere-to-telomere human genome sequence presents new opportunities for evolutionary genomics257
Unlocking the power of spatial omics with AI246
Genome-wide profiling of prime editor off-target sites in vitro and in vivo using PE-tag246
Subcellular omics: a new frontier pushing the limits of resolution, complexity and throughput236
Scaling up spatial transcriptomics for large-sized tissues: uncovering cellular-level tissue architecture beyond conventional platforms with iSCALE228
Recovery of missing single-cell RNA-sequencing data with optimized transcriptomic references228
DeepMainmast: integrated protocol of protein structure modeling for cryo-EM with deep learning and structure prediction222
SurfDock is a surface-informed diffusion generative model for reliable and accurate protein–ligand complex prediction211
Bridging the dimensional gap from planar spatial transcriptomics to 3D cell atlases201
Mass spectrometry imaging: the rise of spatially resolved single-cell omics197
Efficient targeted insertion of large DNA fragments without DNA donors194
MRIcroGL: voxel-based visualization for neuroimaging185
BATTLES: high-throughput screening of antigen recognition under force183
Quest: my postdoc home183
Using machine learning to predict the structure of proteins that bind to DNA and RNA173
Setting standards for stem cells170
Sensitive protein analysis with plexDIA164
Non-invasive metabolic imaging of brown adipose tissue164
Tracking gene transfer using RNA tools159
One cell, two cell, dead cell, true cell158
The placozoan Trichoplax154
Benchmarking genomic language models154
Road trip home to start a lab152
Author Correction: Learning single-cell perturbation responses using neural optimal transport151
Bat organoids at bat149
Peer review demystified: part 2147
ENTERing the world of immune cells147
From GWAS to single-cell MPRA145
Mapping chromatin and DNA methylation landscapes at single-cell and single-molecule resolution145
The crustacean Parhyale143
The Hodge Laplacian advances inference of single-cell trajectories140
Profiling RNA at chromatin targets in situ by antibody-targeted tagmentation138
Trawling the ocean virome137
Genomics 2 Proteins portal: a resource and discovery tool for linking genetic screening outputs to protein sequences and structures136
VascuViz: a multimodality and multiscale imaging and visualization pipeline for vascular systems biology135
FISHnet: detecting chromatin domains in single-cell sequential Oligopaints imaging data135
Computational strategies for cross-species knowledge transfer134
Adaptable, turn-on maturation (ATOM) fluorescent biosensors for multiplexed detection in cells132
Differentiating visceral sensory ganglion organoids from induced pluripotent stem cells131
Publisher Correction: Museum of spatial transcriptomics131
Indexing and searching petabase-scale nucleotide resources130
Systematic scRNA-seq screens profile neural organoid response to morphogens130
When labs welcome under-represented groups130
Long-read sequencing in the era of epigenomics and epitranscriptomics129
How developmental cell atlases inform stem cell embryo models127
Nicheformer: a foundation model for single-cell and spatial omics126
The tidyomics ecosystem: enhancing omic data analyses125
De novo protein design with a denoising diffusion network independent of pretrained structure prediction models123
Detection of m6A from direct RNA sequencing using a multiple instance learning framework122
quantms: a cloud-based pipeline for quantitative proteomics enables the reanalysis of public proteomics data122
Comparing classifier performance with baselines122
Image-seq: spatially resolved single-cell sequencing guided by in situ and in vivo imaging121
Tardigrades120
UDA-seq: universal droplet microfluidics-based combinatorial indexing for massive-scale multimodal single-cell sequencing120
StayGold variants for molecular fusion and membrane-targeting applications118
Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps117
Time-resolved cryo-EM using a combination of droplet microfluidics with on-demand jetting116
InterPLM: discovering interpretable features in protein language models via sparse autoencoders115
A graph neural network that combines scRNA-seq and protein–protein interaction data115
A fluorogenic chemically induced dimerization technology for controlling, imaging and sensing protein proximity115
A method for quantitative and base-resolution sequencing of pseudouridine115
The LGBTQ+ job hunt114
Neural networks built with biomolecules114
Deciphering subcellular organization with multiplexed imaging and deep learning114
Science while parenting113
Combining compact human protein domains with CRISPR systems for robust gene activation112
What makes a Nature Methods paper110
Publisher Correction: ELI trifocal microscope: a precise system to prepare target cryo-lamellae for in situ cryo-ET study109
Genomics beyond complete genomes108
Building an automated three-dimensional flight agent for neural network reconstruction108
Mackenzie Weygandt Mathis108
Merging conformational landscapes in a single consensus space with FlexConsensus algorithm107
Vector choices, vector surprises106
Permittivity tensor imaging: modular label-free imaging of 3D dry mass and 3D orientation at high resolution106
Profiling the epigenetic landscape of the antigen receptor repertoire: the missing epi-immunogenomics data106
The future of bioimage analysis: a dialog between mind and machine106
Analyzing single-cell bisulfite sequencing data with MethSCAn105
DAQ-Score Database: assessment of map–model compatibility for protein structure models from cryo-EM maps105
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