Eugene S. Gutman
- Organic Chemistry top 5%
- Materials Chemistry
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Inorganic Chemistry
- Co-authors
- David L. Van VrankenVanessa ArredondoPierre BaldiFrances LiuDavid FoosheeGregor UrbanKenner C. RiceArthur E. Jacobson
- Topics
- Neuropeptides and Animal Physiology (6 papers)Pharmacological Receptor Mechanisms and Effects (5 papers)Receptor Mechanisms and Signaling (4 papers)
- Journals
- Angewandte Chemie International EditionJournal of Pharmacology and Experimental TherapeuticsThe Journal of Organic Chemistry
- Partner nations
- United StatesSingapore
In The Last Decade
Eugene S. Gutman
15 papers receiving 530 citations
Peers
Comparison fields: 5 of 62
- Organic Chemistry 327
- Materials Chemistry 110
- Molecular Biology 95
- Computational Theory and Mathematics 95
- Inorganic Chemistry 48
Countries citing papers authored by Eugene S. Gutman
This map shows the geographic impact of Eugene S. Gutman'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 Eugene S. Gutman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene S. Gutman more than expected).
Fields of papers citing papers by Eugene S. Gutman
This network shows the impact of papers produced by Eugene S. Gutman. 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 Eugene S. Gutman. The network helps show where Eugene S. Gutman may publish in the future.
Co-authorship network of co-authors of Eugene S. Gutman
This figure shows the co-authorship network connecting the top 25 collaborators of Eugene S. Gutman. A scholar is included among the top collaborators of Eugene S. Gutman 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 Eugene S. Gutman. Eugene S. Gutman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 7 | |
| 8 | 12 | |
| 9 | 23 | |
| 10 | 16 | |
| 11 | 148 | |
| 12 | 79 | |
| 13 | 147 | |
| 14 | 14 | |
| 15 | 46 |
About Eugene S. Gutman
Eugene S. Gutman is a scholar working on Cellular and Molecular Neuroscience, Organic Chemistry and Computational Theory and Mathematics, having authored 15 papers that have together received 538 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Pharmacological Receptor Mechanisms and Effects (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Organic Chemistry (327 citations), Computational Theory and Mathematics (95 citations) and Inorganic Chemistry (48 citations). Eugene S. Gutman has collaborated with scholars based in United States and Singapore. Frequent co-authors include David L. Van Vranken, Vanessa Arredondo, Pierre Baldi, Frances Liu, David Fooshee, Gregor Urban, Kenner C. Rice, Arthur E. Jacobson, Agnieszka Sulima and Gregory H. Imler. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Pharmacology and Experimental Therapeutics and The Journal of Organic Chemistry.
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.