Peter Hecht
Impact in
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- Computational Drug Discovery Methods
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- Neurobiology and Insect Physiology Research
Papers in
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- Developmental Biology and Gene Regulation 3
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- HIV/AIDS drug development and treatment 4
- Co-authors
- Kathryn V. Anderson (3 shared papers)Romano T. Kroemer (5 shared papers)Klaus R. Liedl (2 shared papers)Robert K. Maeda (1 shared paper)Sima Misra (1 shared paper)Peter Ettmayer (3 shared papers)Eleni Koutsilieri (1 shared paper)Johannes Kornhuber (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Journal of Computer-Aided Molecular Design (2 papers)Diabetes Obesity and Metabolism (1 paper)Journal of Computational Chemistry (1 paper)Trends in Cell Biology (1 paper)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Peter Hecht
12 papers receiving 336 citations
Peers
Comparison fields: 5 of 66
- Computational Theory and Mathematics 74
- Cellular and Molecular Neuroscience 66
- Immunology 64
- Molecular Biology 203
- Virology 11
Countries citing papers authored by Peter Hecht
This map shows the geographic impact of Peter 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 Peter Hecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Hecht more than expected).
Fields of papers citing papers by Peter Hecht
This network shows the impact of papers produced by Peter 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 Peter Hecht. The network helps show where Peter Hecht may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter 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
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 66 | |
| 2 | 1998 | 58 | |
| 3 | 1992 | 55 | |
| 4 | 1998 | 33 | |
| 5 | 1996 | 31 | |
| 6 | 2015 | 28 | |
| 7 | 1995 | 27 | |
| 8 | 1995 | 22 | |
| 9 | 1996 | 20 | |
| 10 | 1995 | 12 | |
| 11 | 1992 | 5 | |
| 12 | 1999 | 4 | |
| 13 | 1996 | 1 |
About Peter Hecht
Peter Hecht is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Virology and Organic Chemistry, having authored 13 papers that have together received 362 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (3 papers), Developmental Biology and Gene Regulation (3 papers), Chemical Thermodynamics and Molecular Structure (2 papers), Analytical Chemistry and Chromatography (2 papers), Silk-based biomaterials and applications (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Computational Theory and Mathematics (74 citations), Cellular and Molecular Neuroscience (66 citations), Immunology (64 citations), Molecular Biology (203 citations) and Virology (11 citations). Peter Hecht has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Kathryn V. Anderson, Romano T. Kroemer, Klaus R. Liedl, Robert K. Maeda, Sima Misra, Peter Ettmayer, Eleni Koutsilieri, Johannes Kornhuber, Peter Riederer and Andreas Billich. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Computer-Aided Molecular Design, Diabetes Obesity and Metabolism, Journal of Computational Chemistry and Trends in Cell Biology.
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.