Andreas Verras
Impact in
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- Computational Drug Discovery Methods
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- Fungal Plant Pathogen Control
Papers in
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- Biochemical and Molecular Research 3
- Receptor Mechanisms and Signaling 2
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- Computational Drug Discovery Methods 6
- Co-authors
- Robert P. Sheridan (3 shared papers)Zhenqin Wu (1 shared paper)Vijay S. Pande (1 shared paper)Bowen Liu (1 shared paper)Matthew Tudor (1 shared paper)Bharath Ramsundar (1 shared paper)Michael Niklaus (1 shared paper)Antoine Daina (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Medicinal Chemistry (2 papers)PLoS ONE (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Andreas Verras
17 papers receiving 551 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 255
- Ecology, Evolution, Behavior and Systematics 122
- Pharmacology 43
- Cell Biology 71
- Molecular Biology 248
Countries citing papers authored by Andreas Verras
This map shows the geographic impact of Andreas Verras'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 Andreas Verras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Verras more than expected).
Fields of papers citing papers by Andreas Verras
This network shows the impact of papers produced by Andreas Verras. 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 Andreas Verras. The network helps show where Andreas Verras may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Verras, 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 | 2017 | 183 | |
| 2 | 2012 | 158 | |
| 3 | 2004 | 37 | |
| 4 | 2012 | 28 | |
| 5 | 2021 | 28 | |
| 6 | 2021 | 27 | |
| 7 | 2006 | 22 | |
| 8 | 2017 | 19 | |
| 9 | 2017 | 16 | |
| 10 | 2014 | 15 | |
| 11 | 2010 | 8 | |
| 12 | 2014 | 7 | |
| 13 | 2006 | 6 | |
| 14 | 2012 | 4 | |
| 15 | 2023 | 2 | |
| 16 | 2011 | 2 | |
| 17 | 2021 | 2 |
About Andreas Verras
Andreas Verras is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Cellular and Molecular Neuroscience and Pharmacology, having authored 17 papers that have together received 564 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Neuropeptides and Animal Physiology (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Machine Learning in Materials Science (3 papers), Biochemical and Molecular Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Analytical Chemistry and Chromatography (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Computational Theory and Mathematics (255 citations), Ecology, Evolution, Behavior and Systematics (122 citations), Pharmacology (43 citations), Cell Biology (71 citations) and Molecular Biology (248 citations). Andreas Verras has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Robert P. Sheridan, Zhenqin Wu, Vijay S. Pande, Bowen Liu, Matthew Tudor, Bharath Ramsundar, Michael Niklaus, Antoine Daina, Michael Csukai and Raymonde Fonné‐Pfister. Their work appears in journals such as Journal of Chemical Information and Modeling, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, PLoS ONE and The Journal of Immunology.
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.