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
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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)A. Alomar (1 shared paper)Xavier Matías‐Guiu (1 shared paper)Rémy Pujol (1 shared paper)Jean‐Luc Puel (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)European Journal of Medicinal Chemistry (1 paper)Journal of Business-to-Business Marketing (1 paper)
- Partner nations
- SpainFranceUnited States
In The Last Decade
David Vidal
31 papers receiving 750 citations
Peers
Comparison fields: 5 of 130
- Computational Theory and Mathematics 278
- Sensory Systems 59
- Virology 27
- Molecular Biology 362
- Dermatology 44
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 | 141 | |
| 2 | 2004 | 94 | |
| 3 | 2000 | 69 | |
| 4 | 2010 | 54 | |
| 5 | 2010 | 46 | |
| 6 | 2004 | 44 | |
| 7 | 2006 | 39 | |
| 8 | 2015 | 38 | |
| 9 | 2013 | 35 | |
| 10 | 2012 | 27 | |
| 11 | 2007 | 27 | |
| 12 | 2019 | 24 | |
| 13 | 2014 | 19 | |
| 14 | 2003 | 18 | |
| 15 | 2007 | 14 | |
| 16 | 2016 | 14 | |
| 17 | 2009 | 14 | |
| 18 | 2007 | 13 | |
| 19 | 2013 | 13 | |
| 20 | 2017 | 6 |
About David Vidal
David Vidal is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Organizational Behavior and Human Resource Management and Immunology, having authored 32 papers that have together received 774 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Customer Service Quality and Loyalty (5 papers), Protein Structure and Dynamics (3 papers), Chemical Synthesis and Analysis (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Machine Learning in Materials Science (3 papers), Click Chemistry and Applications (2 papers) and Psychology of Social Influence (2 papers). The work is most often cited by research in Computational Theory and Mathematics (278 citations), Sensory Systems (59 citations), Virology (27 citations), Molecular Biology (362 citations) and Dermatology (44 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, A. Alomar, Xavier Matías‐Guiu, Rémy Pujol, Jean‐Luc Puel, Richard P. Bobbin and Jérôme Ruel. Their work appears in journals such as Journal of the American Chemical Society, Journal of Chemical Information and Modeling, Chemical Research in Toxicology, European Journal of Medicinal Chemistry and Journal of Business-to-Business Marketing.
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.