David Hecht
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Organic Chemistry top 10%
- Surgery
- Epidemiology
- Co-authors
- Gary B. FogelLee WaltersJeffrey L. GustafsonД. А. ШапироTilman OltersdorfJohn G. McHutchisonMitchell L. ShiffmanRobert G. Gish
- Topics
- Computational Drug Discovery Methods (15 papers)Multiple Myeloma Research and Treatments (4 papers)Enzyme Structure and Function (4 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionJournal of Clinical Oncology
- Partner nations
- United StatesTaiwanSaudi Arabia
In The Last Decade
David Hecht
48 papers receiving 744 citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 252
- Computational Theory and Mathematics 154
- Organic Chemistry 152
- Surgery 115
- Epidemiology 115
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-authorship network of co-authors of David Hecht
This figure shows the co-authorship network connecting the top 25 collaborators of David Hecht. A scholar is included among the top collaborators of David Hecht based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Hecht. David Hecht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 49 | |
| 8 | 25 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 18 | |
| 12 | 15 | |
| 13 | 7 | |
| 14 | 30 | |
| 15 | 18 | |
| 16 | 18 | |
| 17 | 151 | |
| 18 | 12 | |
| 19 | 19 | |
| 20 | 1 |
About David Hecht
David Hecht is a scholar working on Computational Theory and Mathematics, Molecular Medicine and Information Systems and Management, having authored 49 papers that have together received 776 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Multiple Myeloma Research and Treatments (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Hepatology (84 citations), Computational Theory and Mathematics (154 citations) and Filtration and Separation (18 citations). David Hecht has collaborated with scholars based in United States, Taiwan and Saudi Arabia. Frequent co-authors include Gary B. Fogel, Lee Walters, Jeffrey L. Gustafson, Д. А. Шапиро, Tilman Oltersdorf, John G. McHutchison, Mitchell L. Shiffman, Robert G. Gish, Nezam H. Afdhal and Arnold L. Rheingold. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Clinical Oncology.
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.