David Hecht
Impact in
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- Computational Drug Discovery Methods
- Hepatology top 10%
- Liver physiology and pathology
Papers in
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- Computational Drug Discovery Methods 15
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- Scientific Computing and Data Management 3
- Co-authors
- Gary B. Fogel (16 shared papers)Lee R. Walters (2 shared papers)Jeffrey L. Gustafson (4 shared papers)Arnold L. Rheingold (1 shared paper)John G. McHutchison (1 shared paper)Nezam H. Afdhal (1 shared paper)Mitchell L. Shiffman (1 shared paper)Tilman Oltersdorf (1 shared paper)
- Journals
- Journal of Computer-Aided Molecular Design (2 papers)Journal of Molecular Graphics and Modelling (2 papers)Journal of the American Chemical Society (2 papers)Tuberculosis (1 paper)Synlett (1 paper)
- Partner nations
- United StatesTaiwanSaudi Arabia
In The Last Decade
David Hecht
36 papers receiving 617 citations
Peers
Comparison fields: 5 of 79
- Computational Theory and Mathematics 165
- Hepatology 69
- Filtration and Separation 12
- Organic Chemistry 119
- Molecular Medicine 16
Countries citing papers authored by David Hecht
This map shows the geographic impact of David Hecht'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 Hecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Hecht more than expected).
Fields of papers citing papers by David Hecht
This network shows the impact of papers produced by David Hecht. 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 Hecht. The network helps show where David Hecht may publish in the future.
Co-authors
The 25 scholars most cited alongside David Hecht, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 158 | |
| 2 | 2015 | 94 | |
| 3 | 1993 | 78 | |
| 4 | 2016 | 52 | |
| 5 | 2009 | 32 | |
| 6 | 2007 | 30 | |
| 7 | 2009 | 25 | |
| 8 | 1992 | 22 | |
| 9 | 2010 | 22 | |
| 10 | 2007 | 21 | |
| 11 | 2007 | 20 | |
| 12 | 2007 | 19 | |
| 13 | 2016 | 16 | |
| 14 | 2019 | 15 | |
| 15 | 2011 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2009 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2008 | 9 | |
| 20 | 2008 | 9 |
About David Hecht
David Hecht is a scholar working on Computational Theory and Mathematics, Information Systems and Management, Molecular Biology, Molecular Medicine and Hepatology, having authored 38 papers that have together received 731 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Biomedical Text Mining and Ontologies (3 papers), Malaria Research and Control (3 papers), Scientific Computing and Data Management (3 papers), Protein Structure and Dynamics (3 papers), Enzyme Structure and Function (3 papers), RNA and protein synthesis mechanisms (2 papers) and Axial and Atropisomeric Chirality Synthesis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (165 citations), Hepatology (69 citations), Filtration and Separation (12 citations), Organic Chemistry (119 citations) and Molecular Medicine (16 citations). David Hecht has collaborated with scholars based in United States, Taiwan and Saudi Arabia. Frequent co-authors include Gary B. Fogel, Lee R. Walters, Jeffrey L. Gustafson, Arnold L. Rheingold, John G. McHutchison, Nezam H. Afdhal, Mitchell L. Shiffman, Tilman Oltersdorf, Eugene R. Schiff and Paul J. Pockros. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Journal of Molecular Graphics and Modelling, Journal of the American Chemical Society, Tuberculosis and Synlett.
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.