Daniel H. Foil
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 5%
Papers in
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- Computational Drug Discovery Methods 10
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- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- Sean Ekins (19 shared papers)Kimberley M. Zorn (16 shared papers)Thomas R. Lane (12 shared papers)Eni Minerali (6 shared papers)Ana C. Puhl (7 shared papers)Stefano Papazian (1 shared paper)Delphine Parrot (1 shared paper)Deniz Taşdemir (1 shared paper)
- Journals
- Environmental Science & Technology (3 papers)Journal of Chemical Information and Modeling (3 papers)ACS Omega (2 papers)Molecular Pharmaceutics (2 papers)Chemical Research in Toxicology (2 papers)
- Partner nations
- United StatesBrazilGermany
In The Last Decade
Daniel H. Foil
27 papers receiving 805 citations
Peers
Comparison fields: 5 of 122
- Computational Theory and Mathematics 300
- Pharmacology 76
- Infectious Diseases 100
- Health Informatics 7
- Molecular Medicine 25
Countries citing papers authored by Daniel H. Foil
This map shows the geographic impact of Daniel H. Foil'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 Daniel H. Foil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel H. Foil more than expected).
Fields of papers citing papers by Daniel H. Foil
This network shows the impact of papers produced by Daniel H. Foil. 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 Daniel H. Foil. The network helps show where Daniel H. Foil may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel H. Foil, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 89 | |
| 2 | 2018 | 84 | |
| 3 | 2020 | 67 | |
| 4 | 2020 | 61 | |
| 5 | 2015 | 57 | |
| 6 | 2020 | 43 | |
| 7 | 2020 | 41 | |
| 8 | 2021 | 37 | |
| 9 | 2020 | 36 | |
| 10 | 2020 | 32 | |
| 11 | 2017 | 27 | |
| 12 | 2020 | 27 | |
| 13 | 2017 | 25 | |
| 14 | 2021 | 24 | |
| 15 | 2020 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2020 | 22 | |
| 18 | 2020 | 20 | |
| 19 | 2022 | 16 | |
| 20 | 2021 | 15 |
About Daniel H. Foil
Daniel H. Foil is a scholar working on Computational Theory and Mathematics, Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health and Pharmacology, having authored 27 papers that have together received 815 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Mosquito-borne diseases and control (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Mass Spectrometry Techniques and Applications (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Computational Theory and Mathematics (300 citations), Pharmacology (76 citations), Infectious Diseases (100 citations), Health Informatics (7 citations) and Molecular Medicine (25 citations). Daniel H. Foil has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Sean Ekins, Kimberley M. Zorn, Thomas R. Lane, Eni Minerali, Ana C. Puhl, Stefano Papazian, Delphine Parrot, Deniz Taşdemir, Victor O. Gawriljuk and Daniel A. Todd. Their work appears in journals such as Environmental Science & Technology, Journal of Chemical Information and Modeling, ACS Omega, Molecular Pharmaceutics and Chemical Research in Toxicology.
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.