Leaderboards/AlphaFold

AlphaFold

Last updated May 19, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Matthias Blum
European Bioinformatics Institute
2.4k cit.
2
Josh Abramson
Google DeepMind (United Kingdom)
843 cit.
3
Typhaine Paysan‐Lafosse
European Bioinformatics Institute
705 cit.
4
Sebastian Bittrich
San Diego Supercomputer Center
364 cit.
5
Zhi Lin
University of California, San Francisco
339 cit.
6
Andy M. Lau
University College London
339 cit.
7
Devlina Chakravarty
National Institutes of Health
270 cit.
8
Jason Nomburg
Gladstone Institutes
270 cit.
9
Kyle Swanson
Stanford University
258 cit.
10
Alireza Omidi
University of British Columbia
240 cit.

Rising Stars Papers

1
InterPro: the protein sequence classification resource in 2025
Nucleic Acids Research|2024
803 cit.
2
Addendum: Accurate structure prediction of biomolecular interactions with AlphaFold 3
Nature|2024
280 cit.
3
The Pfam protein families database: embracing AI/ML
Nucleic Acids Research|2024
234 cit.
4
RCSB protein Data Bank: exploring protein 3D similarities via comprehensive structural alignments
Bioinformatics|2024
181 cit.
5
Multiscale photocatalytic proximity labeling reveals cell surface neighbors on and between cells
Science|2024
112 cit.
6
Exploring structural diversity across the protein universe with The Encyclopedia of Domains
Science|2024
112 cit.
7
AlphaFold predictions of fold-switched conformations are driven by structure memorization
Nature Communications|2024
134 cit.
8
Birth of protein folds and functions in the virome
Nature|2024
89 cit.
9
The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies
Nature|2025
85 cit.
10
AlphaFold-Multimer accurately captures interactions and dynamics of intrinsically disordered protein regions
Proceedings of the National Academy of Sciences|2024
79 cit.

Rising Stars Reagents

Coming soon

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
John Jumper
Google DeepMind (United Kingdom)
19.3k cit.
2
Žiga Avsec
Google DeepMind (United Kingdom)
1.9k cit.
3
Sameer Velankar
European Bioinformatics Institute
1.9k cit.
4
Janusz M. Bujnicki
International Institute of Molecular and Cell Biology
384 cit.
5
Martin Steinegger
Seoul National University
356 cit.
6
Paul D. Adams
Lawrence Berkeley National Laboratory
333 cit.
7
Julie D. Forman‐Kay
University of Toronto
218 cit.
8
Brenda M. Rubenstein
Brown University
182 cit.
9
Joana Pereira
SIB Swiss Institute of Bioinformatics
167 cit.
10
Marta Szachniuk
Institute of Bioorganic Chemistry, Polish Academy of Sciences
121 cit.

Emerging Leaders Papers

1
Accurate structure prediction of biomolecular interactions with AlphaFold 3
Nature|2024
12.9k cit.
2
Accurate proteome-wide missense variant effect prediction with AlphaMissense
Science|2023
1.9k cit.
3
AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences
Nucleic Acids Research|2023
1.9k cit.
4
MODOMICS: a database of RNA modifications and related information. 2023 update
Nucleic Acids Research|2023
384 cit.
5
Clustering predicted structures at the scale of the known protein universe
Nature|2023
356 cit.
6
AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determination
Nature Methods|2023
333 cit.
7
Systematic identification of conditionally folded intrinsically disordered regions by AlphaFold2
Proceedings of the National Academy of Sciences|2023
218 cit.
8
High-throughput prediction of protein conformational distributions with subsampled AlphaFold2
Nature Communications|2024
182 cit.
9
Uncovering new families and folds in the natural protein universe
Nature|2023
167 cit.
10
When will RNA get its AlphaFold moment?
Nucleic Acids Research|2023
121 cit.

Emerging Leaders Reagents

Coming soon

All-Time Leaders

The canon

All-Time Leaders Researchers

1
Demis Hassabis
Google DeepMind (United Kingdom)
154.1k cit.
2
John Jumper
Google DeepMind (United Kingdom)
39.4k cit.
3
Sameer Velankar
European Bioinformatics Institute
30k cit.
4
Žiga Avsec
Google DeepMind (United Kingdom)
5.8k cit.
5
David Baker
Howard Hughes Medical Institute
5.2k cit.
6
Paul Flicek
European Bioinformatics Institute
4.5k cit.
7
Alex Bateman
European Bioinformatics Institute
3.1k cit.
8
Yu Chen
Ningbo University
2.1k cit.
9
Birte Höcker
University of Bayreuth
1.5k cit.
10
Anastassis Perrakis
The Netherlands Cancer Institute
1.5k cit.

All-Time Leaders Papers

1
Highly accurate protein structure prediction with AlphaFold
Nature|2021
44.2k cit.
2
Accurate structure prediction of biomolecular interactions with AlphaFold 3
Nature|2024
12.9k cit.
3
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
Nucleic Acids Research|2021
8.1k cit.
4
UniProt: the Universal Protein Knowledgebase in 2023
Nucleic Acids Research|2022
6.8k cit.
5
Improved protein structure prediction using potentials from deep learning
Nature|2020
3.5k cit.
6
Highly accurate protein structure prediction for the human proteome
Nature|2021
3.2k cit.
7
Accurate proteome-wide missense variant effect prediction with AlphaMissense
Science|2023
1.9k cit.
8
AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences
Nucleic Acids Research|2023
1.9k cit.
9
Robust deep learning–based protein sequence design using ProteinMPNN
Science|2022
1.7k cit.
10
Ensembl 2023
Nucleic Acids Research|2022
1.1k cit.

All-Time Leaders Reagents

Coming soon

Indexing AlphaFold Reagents

Citation data for reagents in this field is currently compiling.