David Vidal
Impact in
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- Computational Drug Discovery Methods
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
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- Protein Structure and Dynamics 3
- Chemical Synthesis and Analysis 3
- Protein Tyrosine Phosphatases 2
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- Computational Drug Discovery Methods 10
- Co-authors
- Miquel Pons (9 shared papers)Michael Thormann (3 shared papers)Jordi Mestres (6 shared papers)Ricard García-Serna (3 shared papers)Xavier Matías‐Guiu (1 shared paper)A. Alomar (1 shared paper)Jérôme Ruel (1 shared paper)Rémy Pujol (1 shared paper)
- Journals
- Journal of the American Chemical Society (3 papers)Journal of Chemical Information and Modeling (3 papers)Chemical Research in Toxicology (2 papers)Journal of Virology (1 paper)Communications in Computational Physics (1 paper)
- Partner nations
- SpainFranceUnited States
In The Last Decade
David Vidal
31 papers receiving 793 citations
Peers
Comparison fields: 5 of 130
- Computational Theory and Mathematics 292
- Sensory Systems 62
- Virology 26
- Molecular Biology 348
- Organizational Behavior and Human Resource Management 46
Countries citing papers authored by David Vidal
This map shows the geographic impact of David Vidal'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 David Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Vidal more than expected).
Fields of papers citing papers by David Vidal
This network shows the impact of papers produced by David Vidal. 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 David Vidal. The network helps show where David Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside David Vidal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 155 | |
| 2 | 2004 | 94 | |
| 3 | 2000 | 72 | |
| 4 | 2010 | 56 | |
| 5 | 2010 | 48 | |
| 6 | 2004 | 46 | |
| 7 | 2015 | 43 | |
| 8 | 2006 | 40 | |
| 9 | 2013 | 37 | |
| 10 | 2012 | 28 | |
| 11 | 2007 | 27 | |
| 12 | 2019 | 25 | |
| 13 | 2014 | 22 | |
| 14 | 2003 | 21 | |
| 15 | 2016 | 16 | |
| 16 | 2009 | 15 | |
| 17 | 2013 | 14 | |
| 18 | 2007 | 14 | |
| 19 | 2007 | 13 | |
| 20 | 2017 | 8 |
About David Vidal
David Vidal is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organizational Behavior and Human Resource Management, Organic Chemistry and Immunology, having authored 32 papers that have together received 821 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Customer Service Quality and Loyalty (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Protein Structure and Dynamics (3 papers), Chemical Synthesis and Analysis (3 papers), Machine Learning in Materials Science (3 papers), Psychology of Social Influence (2 papers) and Protein Tyrosine Phosphatases (2 papers). The work is most often cited by research in Computational Theory and Mathematics (292 citations), Sensory Systems (62 citations), Virology (26 citations), Molecular Biology (348 citations) and Organizational Behavior and Human Resource Management (46 citations). David Vidal has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Miquel Pons, Michael Thormann, Jordi Mestres, Ricard García-Serna, Xavier Matías‐Guiu, A. Alomar, Jérôme Ruel, Rémy Pujol, Richard P. Bobbin and Jean‐Luc Puel. Their work appears in journals such as Journal of the American Chemical Society, Journal of Chemical Information and Modeling, Chemical Research in Toxicology, Journal of Virology and Communications in Computational Physics.
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.