Jaume Vidal
Impact in
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- Computational Drug Discovery Methods
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- Malaria Research and Control
- Mosquito-borne diseases and control
- Research on Leishmaniasis Studies
Papers in
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- Malaria Research and Control 5
- Mathematical and Theoretical Epidemiology and Ecology Models 1
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- HIV/AIDS drug development and treatment 2
- Co-authors
- Dana E. Vanderwall (1 shared paper)Emilio Fernández Álvarez (1 shared paper)Darren V. S. Green (1 shared paper)Catherine E. Peishoff (1 shared paper)Laura M. Sanz (1 shared paper)José Garcia-Bustos (1 shared paper)Cristina de Cózar (1 shared paper)Francisco‐Javier Gamo (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (1 paper)Nature (1 paper)Journal of Theoretical Biology (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Open Journal of Epidemiology (1 paper)
- Partner nations
- SpainUnited KingdomNetherlands
In The Last Decade
Jaume Vidal
5 papers receiving 756 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Computational Theory and Mathematics 289
- Public Health, Environmental and Occupational Health 487
- Parasitology 50
- Infectious Diseases 138
- Organic Chemistry 135
Countries citing papers authored by Jaume Vidal
This map shows the geographic impact of Jaume 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 Jaume Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaume Vidal more than expected).
Fields of papers citing papers by Jaume Vidal
This network shows the impact of papers produced by Jaume 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 Jaume Vidal. The network helps show where Jaume Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaume 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
| # | Work | ||
|---|---|---|---|
| 1 | Thousands of chemical starting points for antimalarial lead identification Hit paper breakdown → | 2010 | 705 |
| 2 | 2011 | 29 | |
| 3 | 2012 | 22 | |
| 4 | 2007 | 10 | |
| 5 | 2015 | 4 |
About Jaume Vidal
Jaume Vidal is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Organic Chemistry, Computational Theory and Mathematics and Molecular Biology, having authored 5 papers that have together received 770 indexed citations. Recurring topics across this work include Malaria Research and Control (5 papers), Synthesis and Catalytic Reactions (2 papers), Computational Drug Discovery Methods (2 papers), HIV/AIDS drug development and treatment (2 papers), Venomous Animal Envenomation and Studies (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Computational Theory and Mathematics (289 citations), Public Health, Environmental and Occupational Health (487 citations), Parasitology (50 citations), Infectious Diseases (138 citations) and Organic Chemistry (135 citations). Jaume Vidal has collaborated with scholars based in Spain, United Kingdom and Netherlands. Frequent co-authors include Dana E. Vanderwall, Emilio Fernández Álvarez, Darren V. S. Green, Catherine E. Peishoff, Laura M. Sanz, José Garcia-Bustos, Cristina de Cózar, Francisco‐Javier Gamo, Lon R. Cardon and Samiul Hasan. Their work appears in journals such as Journal of Medicinal Chemistry, Nature, Journal of Theoretical Biology, Bioorganic & Medicinal Chemistry Letters and Open Journal of Epidemiology.
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.