Eric A. Sigel
Impact in
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- Computational Drug Discovery Methods
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- Chemical Synthesis and Analysis
- Protein Degradation and Inhibitors
- Genomics and Chromatin Dynamics
- Cell death mechanisms and regulation
- DNA and Nucleic Acid Chemistry
Papers in
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- Computational Drug Discovery Methods 7
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- Chemical Synthesis and Analysis 7
- Protein Degradation and Inhibitors 2
- Receptor Mechanisms and Signaling 1
- Bacterial biofilms and quorum sensing 1
- Genomics and Chromatin Dynamics 1
- Co-authors
- John W. Cuozzo (5 shared papers)Matthew Clark (5 shared papers)Anthony D. Keefe (5 shared papers)Diana Gikunju (3 shared papers)Sevan Habeshian (3 shared papers)Marie-Aude Guié (3 shared papers)Heather A. Thomson (2 shared papers)Christopher D. Hupp (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (5 papers)ACS Medicinal Chemistry Letters (2 papers)SLAS DISCOVERY (1 paper)ChemBioChem (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Eric A. Sigel
14 papers receiving 628 citations
Peers
Comparison fields: 5 of 43
- Computational Theory and Mathematics 189
- Molecular Biology 492
- Organic Chemistry 118
- Molecular Medicine 14
- Health Informatics 4
Countries citing papers authored by Eric A. Sigel
This map shows the geographic impact of Eric A. Sigel'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 Eric A. Sigel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric A. Sigel more than expected).
Fields of papers citing papers by Eric A. Sigel
This network shows the impact of papers produced by Eric A. Sigel. 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 Eric A. Sigel. The network helps show where Eric A. Sigel may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric A. Sigel, 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 | 2020 | 115 | |
| 2 | 2020 | 95 | |
| 3 | 2015 | 93 | |
| 4 | 2017 | 79 | |
| 5 | 2017 | 65 | |
| 6 | 2016 | 57 | |
| 7 | 1997 | 51 | |
| 8 | 2016 | 51 | |
| 9 | 2018 | 41 | |
| 10 | 2021 | 20 | |
| 11 | 2024 | 14 | |
| 12 | 2024 | 10 | |
| 13 | 2025 | 9 | |
| 14 | 2025 | 3 |
About Eric A. Sigel
Eric A. Sigel is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Molecular Medicine and Infectious Diseases, having authored 14 papers that have together received 703 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (7 papers), Computational Drug Discovery Methods (7 papers), Click Chemistry and Applications (2 papers), Protein Degradation and Inhibitors (2 papers), Receptor Mechanisms and Signaling (1 paper), Bacterial biofilms and quorum sensing (1 paper), Genomics and Chromatin Dynamics (1 paper) and Carbohydrate Chemistry and Synthesis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (189 citations), Molecular Biology (492 citations), Organic Chemistry (118 citations), Molecular Medicine (14 citations) and Health Informatics (4 citations). Eric A. Sigel has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include John W. Cuozzo, Matthew Clark, Anthony D. Keefe, Diana Gikunju, Sevan Habeshian, Marie-Aude Guié, Heather A. Thomson, Christopher D. Hupp, Christoph E. Dumelin and Holly H. Soutter. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, SLAS DISCOVERY, ChemBioChem and Journal of Cell Science.
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.