Stephen Anyango
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Genetics, Bioinformatics, and Biomedical Research
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
Papers in
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- Protein Structure and Dynamics 4
- Microbial Metabolic Engineering and Bioproduction 2
- Genomics and Phylogenetic Studies 2
- Genetics, Bioinformatics, and Biomedical Research 1
- RNA and protein synthesis mechanisms 1
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- Enzyme Structure and Function 5
- Co-authors
- Mihály Váradi (6 shared papers)Sameer Velankar (6 shared papers)Sreenath Nair (4 shared papers)Nurul Nadzirin (3 shared papers)Aleksandras Gutmanas (2 shared papers)Preeti Choudhary (2 shared papers)Hossam A. Zaki (1 shared paper)John M. Berrisford (3 shared papers)
- Journals
- Scientific Data (2 papers)Journal of Cheminformatics (1 paper)Structural Dynamics (1 paper)BMC Bioinformatics (1 paper)Bioinformatics (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Stephen Anyango
6 papers receiving 40 citations
Peers
Comparison fields: 5 of 24
- Computational Theory and Mathematics 16
- Molecular Biology 32
- Biophysics 2
- Materials Chemistry 11
- Industrial and Manufacturing Engineering 2
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 25 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 | 2024 | 15 | |
| 2 | 2021 | 9 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 5 | |
| 5 | 2021 | 3 | |
| 6 | 2023 | 1 |
About Stephen Anyango
Stephen Anyango is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Computational Theory and Mathematics and Infectious Diseases, having authored 6 papers that have together received 41 indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Protein Structure and Dynamics (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Genomics and Phylogenetic Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Computational Drug Discovery Methods (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (16 citations), Molecular Biology (32 citations), Biophysics (2 citations), Materials Chemistry (11 citations) and Industrial and Manufacturing Engineering (2 citations). Stephen Anyango has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Mihály Váradi, Sameer Velankar, Sreenath Nair, Nurul Nadzirin, Aleksandras Gutmanas, Preeti Choudhary, Hossam A. Zaki, John M. Berrisford, Lukáš Pravda and Harold R. Powell. Their work appears in journals such as Scientific Data, Journal of Cheminformatics, Structural Dynamics, BMC Bioinformatics and 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.