Anna Potapenko
Impact in
- Molecular Biology top 0.1%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Structural Biology top 0.5%
Papers in
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- Computational and Text Analysis Methods 3
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- Topic Modeling 8
- Natural Language Processing Techniques 7
- Advanced Text Analysis Techniques 3
- Text and Document Classification Technologies 2
- Co-authors
- Konstantin Vyacheslavovich Vorontsov (7 shared papers)Alexander V. Plavin (1 shared paper)Angeliki Lazaridou (1 shared paper)Octavian-Eugen Ganea (1 shared paper)Thomas Frank Hofmann (1 shared paper)
- Journals
- Nature (4 papers)Machine Learning (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Lecture notes in computer science (2 papers)Communications in computer and information science (3 papers)
- Partner nations
- United KingdomRussiaSwitzerland
In The Last Decade
Anna Potapenko
15 papers receiving 37.8k citations
Anna Potapenko's Hit Papers
Peers
Comparison fields: 5 of 214
- Molecular Biology 23.0k
- Structural Biology 404
- Cell Biology 2.5k
- Computational Theory and Mathematics 2.6k
- Health Informatics 204
Countries citing papers authored by Anna Potapenko
This map shows the geographic impact of Anna Potapenko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anna Potapenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Potapenko more than expected).
Fields of papers citing papers by Anna Potapenko
This network shows the impact of papers produced by Anna Potapenko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anna Potapenko. The network helps show where Anna Potapenko may publish in the future.
Co-authors
The 5 scholars most cited alongside Anna Potapenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Highly accurate protein structure prediction with AlphaFold Hit paper breakdown → | 2021 | 28336 |
| 2 | Accurate structure prediction of biomolecular interactions with AlphaFold 3 Hit paper breakdown → | 2024 | 7362 |
| 3 | Highly accurate protein structure prediction for the human proteome Hit paper breakdown → | 2021 | 2128 |
| 4 | Applying and improving AlphaFold at CASP14 Hit paper breakdown → | 2021 | 308 |
| 5 | Addendum: Accurate structure prediction of biomolecular interactions with AlphaFold 3 Hit paper breakdown → | 2024 | 147 |
| 6 | 2014 | 88 | |
| 7 | 2014 | 47 | |
| 8 | 2015 | 24 | |
| 9 | 2012 | 12 | |
| 10 | 2013 | 11 | |
| 11 | 2018 | 8 | |
| 12 | 2020 | 6 | |
| 13 | Tutorial on Probabilistic Topic Modeling: Additive Regularization for Stochastic Matrix Factorization | 2014 | 3 |
| 14 | 2023 | 2 | |
| 15 | 2017 | 2 |
About Anna Potapenko
Anna Potapenko is a scholar working on General Social Sciences, Artificial Intelligence, Molecular Biology, Health, Toxicology and Mutagenesis and Computational Theory and Mathematics, having authored 15 papers that have together received 38.5k indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (4 papers), Computational and Text Analysis Methods (3 papers), Advanced Text Analysis Techniques (3 papers), Text and Document Classification Technologies (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Molecular Biology (23.0k citations), Structural Biology (404 citations), Cell Biology (2.5k citations), Computational Theory and Mathematics (2.6k citations) and Health Informatics (204 citations). Anna Potapenko has collaborated with scholars based in United Kingdom, Russia and Switzerland. Frequent co-authors include Konstantin Vyacheslavovich Vorontsov, Alexander V. Plavin, Angeliki Lazaridou, Octavian-Eugen Ganea and Thomas Frank Hofmann. Their work appears in journals such as Nature, Machine Learning, Proteins Structure Function and Bioinformatics, Lecture notes in computer science and Communications in computer and information science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.