Jens‐Uwe Peters
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- Computational Drug Discovery Methods 7
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- Neuropeptides and Animal Physiology 7
- Neuroscience and Neuropharmacology Research 5
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 4
- Organic Chemistry top 5%
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- Receptor Mechanisms and Signaling 8
- Chemical Synthesis and Analysis 6
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- Diabetes Treatment and Management 7
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- Peptidase Inhibition and Analysis 6
- Co-authors
- Manfred KansyPatrizio MatteiPatrick SchniderSabine KolczewskiMichael HennigWill SpoorenEric PrinssenRichard H. Porter
- Journals
- Bioorganic & Medicinal Chemistry Letters (13 papers)Journal of Medicinal Chemistry (4 papers)ChemMedChem (3 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Jens‐Uwe Peters
34 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Computational Theory and Mathematics 349
- Cellular and Molecular Neuroscience 355
- Pharmacology 110
- Biological Psychiatry 29
- Organic Chemistry 328
Countries citing papers authored by Jens‐Uwe Peters
This map shows the geographic impact of Jens‐Uwe Peters'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 Jens‐Uwe Peters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens‐Uwe Peters more than expected).
Fields of papers citing papers by Jens‐Uwe Peters
This network shows the impact of papers produced by Jens‐Uwe Peters. 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 Jens‐Uwe Peters. The network helps show where Jens‐Uwe Peters may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jens‐Uwe Peters, 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 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2019 | 41 | |
| 4 | 2012 | 22 | |
| 5 | 2012 | 59 | |
| 6 | 2010 | 12 | |
| 7 | 2010 | 11 | |
| 8 | 2008 | 43 | |
| 9 | 2007 | 30 | |
| 10 | 2007 | 31 | |
| 11 | 2007 | 20 | |
| 12 | 2007 | 13 | |
| 13 | 2007 | 9 | |
| 14 | 2006 | 20 | |
| 15 | 2005 | 246 | |
| 16 | 2004 | 25 | |
| 17 | 2004 | 68 | |
| 18 | 2003 | 46 | |
| 19 | 1999 | 1 | |
| 20 | 1970 | 0 |
About Jens‐Uwe Peters
Jens‐Uwe Peters is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism and Oncology, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Computational Drug Discovery Methods (7 papers), Diabetes Treatment and Management (7 papers), Neuropeptides and Animal Physiology (7 papers), Chemical Synthesis and Analysis (6 papers), Peptidase Inhibition and Analysis (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Computational Theory and Mathematics (349 citations), Cellular and Molecular Neuroscience (355 citations), Pharmacology (110 citations), Biological Psychiatry (29 citations) and Organic Chemistry (328 citations). Jens‐Uwe Peters has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Manfred Kansy, Patrizio Mattei, Patrick Schnider, Sabine Kolczewski, Michael Hennig, Will Spooren, Eric Prinssen, Richard H. Porter, Georg Jaeschke and Eric Vieira. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, ChemMedChem, Current Topics in Medicinal Chemistry and Tetrahedron Letters.
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.