Istvan Enyedy
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- Computational Drug Discovery Methods 14
- Organic Chemistry top 5%
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling 10
- Protein Structure and Dynamics 5
- Biochemical and Molecular Research 3
- Protein Kinase Regulation and GTPase Signaling 3
- Toxicology top 5%
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases 5
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- Neurotransmitter Receptor Influence on Behavior 7
- Neuroscience and Neuropharmacology Research 6
- Co-authors
- Shaomeng WangWilliam J. EganSukumar SakamuriIngo MueggeKenneth M. JohnsonAlan P. KozikowskiYa‐Qiu LongPeter P. Roller
- Journals
- Bioorganic & Medicinal Chemistry Letters (14 papers)Journal of Medicinal Chemistry (8 papers)Future Medicinal Chemistry (4 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Istvan Enyedy
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Computational Theory and Mathematics 337
- Organic Chemistry 364
- Molecular Biology 870
- Toxicology 35
- Pharmacology 63
Countries citing papers authored by Istvan Enyedy
This map shows the geographic impact of Istvan Enyedy'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 Istvan Enyedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Istvan Enyedy more than expected).
Fields of papers citing papers by Istvan Enyedy
This network shows the impact of papers produced by Istvan Enyedy. 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 Istvan Enyedy. The network helps show where Istvan Enyedy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Istvan Enyedy, 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 | 2021 | 6 | |
| 2 | 2020 | 16 | |
| 3 | 2020 | 10 | |
| 4 | 2019 | 30 | |
| 5 | 2016 | 12 | |
| 6 | 2015 | 27 | |
| 7 | 2015 | 27 | |
| 8 | 2014 | 17 | |
| 9 | 2013 | 2 | |
| 10 | 2011 | 27 | |
| 11 | 2004 | 51 | |
| 12 | 2003 | 4 | |
| 13 | 2003 | 74 | |
| 14 | 2002 | 11 | |
| 15 | 2001 | 39 | |
| 16 | 2001 | 8 | |
| 17 | 2001 | 15 | |
| 18 | 2001 | 25 | |
| 19 | 2001 | 66 | |
| 20 | 2000 | 5 |
About Istvan Enyedy
Istvan Enyedy is a scholar working on Computational Theory and Mathematics, Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology and Organic Chemistry, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Receptor Mechanisms and Signaling (10 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Protein Structure and Dynamics (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Biochemical and Molecular Research (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Computational Theory and Mathematics (337 citations), Organic Chemistry (364 citations), Molecular Biology (870 citations), Toxicology (35 citations) and Pharmacology (63 citations). Istvan Enyedy has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Shaomeng Wang, William J. Egan, Sukumar Sakamuri, Ingo Muegge, Kenneth M. Johnson, Alan P. Kozikowski, Ya‐Qiu Long, Peter P. Roller, Chen‐Yong Lin and Robert B. Dickson. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Future Medicinal Chemistry, Biochemical Journal and Bioorganic & Medicinal 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.