Stephen Anyango
Impact in
- Molecular Biology top 2%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA Research and Splicing
- Structural Biology top 2%
Papers in
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- Enzyme Structure and Function 10
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- Advanced Proteomics Techniques and Applications 4
- Co-authors
- Sameer S Velankar (4 shared papers)Nurul Nadzirin (3 shared papers)Mihály Váradi (4 shared papers)Sreenath Sasidharan Nair (3 shared papers)Aleksandras Gutmanas (2 shared papers)Lukáš Pravda (3 shared papers)Harold R. Powell (1 shared paper)Hossam A. Zaki (1 shared paper)
- Journals
- Nucleic Acids Research (7 papers)Structural Dynamics (1 paper)Protein Science (1 paper)Bioinformatics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesCzechia
In The Last Decade
Stephen Anyango
13 papers receiving 6.6k citations
Stephen Anyango's Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 4.6k
- Structural Biology 83
- Computational Theory and Mathematics 547
- Cell Biology 507
- Aging 45
Countries citing papers authored by Stephen Anyango
This map shows the geographic impact of Stephen Anyango'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 Stephen Anyango with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Anyango more than expected).
Fields of papers citing papers by Stephen Anyango
This network shows the impact of papers produced by Stephen Anyango. 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 Stephen Anyango. The network helps show where Stephen Anyango may publish in the future.
Co-authors
The 17 scholars most cited alongside Stephen Anyango, 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 | AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models Hit paper breakdown → | 2021 | 5380 |
| 2 | Protein Data Bank: the single global archive for 3D macromolecular structure data Hit paper breakdown → | 2018 | 814 |
| 3 | 2019 | 154 | |
| 4 | 2019 | 94 | |
| 5 | 2017 | 69 | |
| 6 | 2021 | 65 | |
| 7 | 2022 | 21 | |
| 8 | 2024 | 20 | |
| 9 | 2022 | 19 | |
| 10 | 2021 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2025 | 6 | |
| 13 | 2021 | 5 |
About Stephen Anyango
Stephen Anyango is a scholar working on Materials Chemistry, Spectroscopy, Molecular Biology, Computational Theory and Mathematics and Biomedical Engineering, having authored 13 papers that have together received 6.7k indexed citations. Recurring topics across this work include Enzyme Structure and Function (10 papers), Protein Structure and Dynamics (8 papers), Advanced Proteomics Techniques and Applications (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Genomics and Phylogenetic Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), Computational Drug Discovery Methods (1 paper) and Biofuel production and bioconversion (1 paper). The work is most often cited by research in Molecular Biology (4.6k citations), Structural Biology (83 citations), Computational Theory and Mathematics (547 citations), Cell Biology (507 citations) and Aging (45 citations). Stephen Anyango has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Sameer S Velankar, Nurul Nadzirin, Mihály Váradi, Sreenath Sasidharan Nair, Aleksandras Gutmanas, Lukáš Pravda, Harold R. Powell, Hossam A. Zaki, Glen van Ginkel and Preeti Choudhary. Their work appears in journals such as Nucleic Acids Research, Structural Dynamics, Protein Science, Bioinformatics and BMC Bioinformatics.
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.