Leaderboards/Advanced Proteomics Techniques and Applications

Advanced Proteomics Techniques and Applications

Last updated July 15, 2026

Rising Stars

Fresh ink, massive impact

Researchers

1
Doudou Tang
Central South University
2
Vineet Thumuluri
University of California San Diego
3
Ulises H. Guzmán
Novo Nordisk Foundation
4
Grímur Hjörleifsson Eldjárn
deCODE Genetics (Iceland)
5
Nathan Cho
University of California, San Francisco
6
Typhaine Paysan‐Lafosse
European Bioinformatics Institute
7
Lilian R. Heil
Thermo Fisher Scientific (United States)
8
Kolja Stahl
Technische Universität Berlin
9
Claudia Ctortecka
IPM Institute of North America
10
Julia A. Bubis
Research Institute of Molecular Pathology

Papers

1
Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition
Nature Biotechnology|2024
333 cit.
2
The Pfam protein families database: embracing AI/ML
Nucleic Acids Research|2024
267 cit.
3
Automated single-cell proteomics providing sufficient proteome depth to study complex biology beyond cell type classifications
Nature Communications|2024
102 cit.
4
Modelling protein complexes with crosslinking mass spectrometry and deep learning
Nature Communications|2024
81 cit.
5
Higher-Throughput Proteome Profiling Enabled by Parallelized Pre-Accumulation and Optimized Ion Processing in the Orbitrap Astral Zoom Mass Spectrometer
Molecular & Cellular Proteomics|2026
8 cit.
6
NuMA mechanically reinforces the spindle independently of its partner dynein
Current Biology|2025
5 cit.
7
ATRA-induced NEAT1 upregulation promotes autophagy during APL cell granulocytic differentiation
PLoS ONE|2024
4 cit.
8
NuMA mechanically reinforces mammalian spindle poles independent of its partner dynein
Biophysical Journal|2024
1 cit.
9
BPS2025 - NuMA mechanically reinforces spindle poles independently of dynein through self-interactions
Biophysical Journal|2025
0 cit.
10
Publication in Biophysical Journal (2025) [W4407496481]
Biophysical Journal|2025
0 cit.

Emerging Leaders

Drafting the new consensus

Researchers

1
Rui Xia
Yangtze University
2
Douglas Teodoro
University of Geneva
3
Jian Zhang
Shandong Agricultural University
4
Mingjie Chen
Shanghai Jiao Tong University
5
Tiannan Guo
Westlake University
6
Hannes Röst
University of Toronto
7
Ben C. Collins
Queen's University Belfast
8
Martin Steinegger
Institute of Molecular Biology
9
Lívia S. Eberlin
Baylor College of Medicine
10
Nikolas Hundt
Center for NanoScience

Papers

1
ColabFold: making protein folding accessible to all
Nature Methods|2022
9.7k cit.
2
UniProt: the Universal Protein Knowledgebase in 2023
Nucleic Acids Research|2022
7k cit.
3
TBtools-II: A “one for all, all for one” bioinformatics platform for biological big-data mining
Molecular Plant|2023
3.5k cit.
4
Fast and accurate protein structure search with Foldseek
Nature Biotechnology|2023
2.4k cit.
5
Clustering predicted structures at the scale of the known protein universe
Nature|2023
365 cit.
6
A painless way to customize Circos plot: From data preparation to visualization using TBtools
iMeta|2022
136 cit.
7
BFVD—a large repository of predicted viral protein structures
Nucleic Acids Research|2024
76 cit.
8
Artificial intelligence defines protein-based classification of thyroid nodules
Cell Discovery|2022
72 cit.
9
A Comparative Analysis of Data Analysis Tools for Data-Independent Acquisition Mass Spectrometry
Molecular & Cellular Proteomics|2023
71 cit.
10
Rapid and sensitive protein complex alignment with Foldseek-Multimer
Nature Methods|2025
59 cit.

Current Senior Leaders

Wrote the book, still writing it

Researchers

1
Matthias Mann
Max Planck Institute of Biochemistry
2
Ruedi Aebersold
ETH Zurich
3
John R. Yates
Scripps Research Institute
4
Steven P. Gygi
Harvard University
5
Christian von Mering
SIB Swiss Institute of Bioinformatics
6
Juan Antonio Vizcaíno
European Bioinformatics Institute
7
Fredrik Pontén
Uppsala University
8
ROBERT FINN
European Bioinformatics Institute
9
Richard Smith
Salisbury NHS Foundation Trust
10
Lars Juhl Jensen
University of Copenhagen

Papers

1
STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets
Nucleic Acids Research|2018
19.2k cit.
2
Tissue-based map of the human proteome
Science|2015
15.9k cit.
3
MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification
Nature Biotechnology|2008
15.7k cit.
4
STRING v10: protein–protein interaction networks, integrated over the tree of life
Nucleic Acids Research|2014
11.1k cit.
5
Mass Spectrometric Sequencing of Proteins from Silver-Stained Polyacrylamide Gels
Analytical Chemistry|1996
9.1k cit.
6
The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest
Nucleic Acids Research|2022
8.8k cit.
7
Universal sample preparation method for proteome analysis
Nature Methods|2009
8.7k cit.
8
The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets
Nucleic Acids Research|2020
8.6k cit.
9
The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible
Nucleic Acids Research|2016
7.4k cit.
10
The PRIDE database and related tools and resources in 2019: improving support for quantification data
Nucleic Acids Research|2018
7.4k cit.

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