Leaderboards/RNA-seq

RNA-seq

Last updated May 19, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Yunshun Chen
Unknown
1.6k cit.
2
Jonathan M. Mudge
European Bioinformatics Institute
858 cit.
3
Tamara Goldfarb
National Institutes of Health
723 cit.
4
Lucas Rebuffet
Centre National de la Recherche Scientifique
642 cit.
5
Francisco J. Pardo-Palacios
Consejo Superior de Investigaciones Científicas
585 cit.
6
Johannes Linder
Enzo Life Sciences (United States)
459 cit.
7
Christopher Gribben
Wellcome/MRC Cambridge Stem Cell Institute
336 cit.
8
Brie Wamsley
University of California, Los Angeles
333 cit.
9
Graham Heimberg
Gene Therapy Laboratory
330 cit.
10
Dig Bijay Mahat
Massachusetts Institute of Technology
318 cit.

Rising Stars Papers

1
edgeR v4: powerful differential analysis of sequencing data with expanded functionality and improved support for small counts and larger datasets
Nucleic Acids Research|2025
516 cit.
2
GENCODE 2025: reference gene annotation for human and mouse
Nucleic Acids Research|2024
285 cit.
3
NCBI RefSeq: reference sequence standards through 25 years of curation and annotation
Nucleic Acids Research|2024
240 cit.
4
High-dimensional single-cell analysis of human natural killer cell heterogeneity
Nature Immunology|2024
213 cit.
5
Systematic assessment of long-read RNA-seq methods for transcript identification and quantification
Nature Methods|2024
194 cit.
6
Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation
Nature Genetics|2025
152 cit.
7
Acquisition of epithelial plasticity in human chronic liver disease
Nature|2024
111 cit.
8
Molecular cascades and cell type–specific signatures in ASD revealed by single-cell genomics
Science|2024
110 cit.
9
A cell atlas foundation model for scalable search of similar human cells
Nature|2024
109 cit.
10
Single-cell nascent RNA sequencing unveils coordinated global transcription
Nature|2024
105 cit.

Rising Stars Reagents

Coming soon

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Mario Stanke
Universitätsmedizin Greifswald
791 cit.
2
Mehrtash Babadi
Broad Institute
776 cit.
3
Vivek Swarup
University of California, Irvine
557 cit.
4
Alexandra Soboleva
National Institutes of Health
380 cit.
5
Kai Tan
Children's Hospital of Philadelphia
330 cit.
6
Nissim Hay
University of Illinois Chicago
326 cit.
7
Zhicheng Ji
Duke University
320 cit.
8
Yi Xing
Children's Hospital of Philadelphia
298 cit.
9
Andrea Volterra
Wyss Center for Bio and Neuroengineering
259 cit.
10
Bernd Bodenmiller
ETH Zurich
235 cit.

Emerging Leaders Papers

1
A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain
Nature|2023
997 cit.
2
BRAKER3: Fully automated genome annotation using RNA-seq and protein evidence with GeneMark-ETP, AUGUSTUS, and TSEBRA
Genome Research|2024
527 cit.
3
Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender
Nature Methods|2023
776 cit.
4
hdWGCNA identifies co-expression networks in high-dimensional transcriptomics data
Cell Reports Methods|2023
668 cit.
5
NCBI GEO: archive for gene expression and epigenomics data sets: 23-year update
Nucleic Acids Research|2023
380 cit.
6
Mapping the cellular biogeography of human bone marrow niches using single-cell transcriptomics and proteomic imaging
Cell|2024
220 cit.
7
Hexokinase 2-mediated gene expression via histone lactylation is required for hepatic stellate cell activation and liver fibrosis
Cell Metabolism|2023
326 cit.
8
Assessing GPT-4 for cell type annotation in single-cell RNA-seq analysis
Nature Methods|2024
213 cit.
9
rMATS-turbo: an efficient and flexible computational tool for alternative splicing analysis of large-scale RNA-seq data
Nature Protocols|2024
238 cit.
10
Specialized astrocytes mediate glutamatergic gliotransmission in the CNS
Nature|2023
259 cit.

Emerging Leaders Reagents

Coming soon

All-Time Leaders

The canon

All-Time Leaders Researchers

1
Simon Anders
European Molecular Biology Laboratory
296.9k cit.
2
Gordon K. Smyth
Walter and Eliza Hall Institute of Medical Research
165k cit.
3
Steven L. Salzberg
Johns Hopkins University
129.7k cit.
4
Lior Pachter
University of California, Berkeley
125.2k cit.
5
Aviv Regev
Broad Institute
113k cit.
6
T Gingeras
Pacific Biosciences (United States)
111.1k cit.
7
Wolfgang Huber
European Molecular Biology Laboratory
94.3k cit.
8
Alicia Oshlack
Walter and Eliza Hall Institute of Medical Research
48.9k cit.
9
B Wold
California Institute of Technology
42.8k cit.
10
Carl Kingsford
Carnegie Mellon University
40.3k cit.

All-Time Leaders Papers

1
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Genome biology|2014
99k cit.
2
limma powers differential expression analyses for RNA-sequencing and microarray studies
Nucleic Acids Research|2015
42.5k cit.
3
STAR: ultrafast universal RNA-seq aligner
Bioinformatics|2012
55.5k cit.
4
Full-length transcriptome assembly from RNA-Seq data without a reference genome
Nature Biotechnology|2011
22.5k cit.
5
Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
Nature Biotechnology|2010
16.4k cit.
6
Differential expression analysis for sequence count data
Genome biology|2010
16.4k cit.
7
StringTie enables improved reconstruction of a transcriptome from RNA-seq reads
Nature Biotechnology|2015
15.3k cit.
8
HTSeq—a Python framework to work with high-throughput sequencing data
Bioinformatics|2014
22.6k cit.
9
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Nature Biotechnology|2018
14.5k cit.
10
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Nature Methods|2008
14.3k cit.

All-Time Leaders Reagents

Coming soon

Indexing RNA-seq Reagents

Citation data for reagents in this field is currently compiling.