Sergey Ovchinnikov
- Molecular Biology top 0.5%
- Protein Structure and Dynamics 41
- RNA and protein synthesis mechanisms 26
- Machine Learning in Bioinformatics 14
- Genomics and Phylogenetic Studies 11
- Microbial Metabolic Engineering and Bioproduction 5
- Photosynthetic Processes and Mechanisms 4
- Structural Biology top 2%
- Cell Biology top 1%
- Biotechnology top 1%
- Endocrinology top 2%
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- Enzyme Structure and Function 18
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- Bacterial Genetics and Biotechnology 5
- Co-authors
- Milot MirditaYoshitaka MoriwakiMartin SteineggerKonstantin SchützeLim HeoDavid BakerHetunandan KamisettyHahnbeom Park
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Sergey Ovchinnikov
68 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Molecular Biology 7.9k
- Structural Biology 111
- Cell Biology 911
- Biotechnology 386
- Endocrinology 224
Countries citing papers authored by Sergey Ovchinnikov
This map shows the geographic impact of Sergey Ovchinnikov'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 Sergey Ovchinnikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Ovchinnikov more than expected).
Fields of papers citing papers by Sergey Ovchinnikov
This network shows the impact of papers produced by Sergey Ovchinnikov. 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 Sergey Ovchinnikov. The network helps show where Sergey Ovchinnikov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sergey Ovchinnikov, 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 | 2025 | 15 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 56 | |
| 4 | 2023 | 28 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 21 | |
| 7 | 2022 | 21 | |
| 8 | 2021 | 15 | |
| 9 | De novo protein design by deep network hallucinationbreakdown → | 2021 | 334 |
| 10 | Improved protein structure prediction using predicted interresidue orientationsbreakdown → | 2020 | 925 |
| 11 | 2020 | 38 | |
| 12 | 2020 | 158 | |
| 13 | Protein interaction networks revealed by proteome coevolutionbreakdown → | 2019 | 150 |
| 14 | 2018 | 47 | |
| 15 | 2018 | 18 | |
| 16 | Protein structure determination using metagenome sequence databreakdown → | 2017 | 350 |
| 17 | 2017 | 132 | |
| 18 | 2016 | 15 | |
| 19 | 2015 | 77 | |
| 20 | Assessing the utility of coevolution-based residue–residue contact predictions in a sequence- and structure-rich erabreakdown → | 2013 | 490 |
About Sergey Ovchinnikov
Sergey Ovchinnikov is a scholar working on Molecular Biology, Materials Chemistry and Genetics, having authored 71 papers that have together received 10.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (41 papers), RNA and protein synthesis mechanisms (26 papers), Enzyme Structure and Function (18 papers), Machine Learning in Bioinformatics (14 papers), Genomics and Phylogenetic Studies (11 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Bacterial Genetics and Biotechnology (5 papers) and Photosynthetic Processes and Mechanisms (4 papers). The work is most often cited by research in Molecular Biology (7.9k citations), Structural Biology (111 citations) and Cell Biology (911 citations). Sergey Ovchinnikov has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Milot Mirdita, Yoshitaka Moriwaki, Martin Steinegger, Konstantin Schütze, Lim Heo, David Baker, Hetunandan Kamisetty, Hahnbeom Park, Ivan Anishchenko and Jianyi Yang. Their work appears in journals such as Nature, Science and Cell.
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.