Stephan Urwyler
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Cognitive Neuroscience top 10%
- Physiology top 10%
- Psychiatry and Mental health top 5%
- Co-authors
- Klemens KaupmannJohannes MosbacherWolfgang FroestlKurt LingenhoehlJakob HeidBernhard BettlerD. M. CowardKarin Hofstetter
- Topics
- Neuroscience and Neuropharmacology Research (37 papers)Receptor Mechanisms and Signaling (23 papers)Neurotransmitter Receptor Influence on Behavior (14 papers)
- Partner nations
- SwitzerlandJapanUnited States
In The Last Decade
Stephan Urwyler
55 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Cellular and Molecular Neuroscience 2.2k
- Molecular Biology 1.7k
- Cognitive Neuroscience 252
- Physiology 235
- Psychiatry and Mental health 204
Countries citing papers authored by Stephan Urwyler
This map shows the geographic impact of Stephan Urwyler'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 Stephan Urwyler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Urwyler more than expected).
Fields of papers citing papers by Stephan Urwyler
This network shows the impact of papers produced by Stephan Urwyler. 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 Stephan Urwyler. The network helps show where Stephan Urwyler may publish in the future.
Co-authorship network of co-authors of Stephan Urwyler
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Urwyler. A scholar is included among the top collaborators of Stephan Urwyler 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 Stephan Urwyler. Stephan Urwyler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 33 | |
| 3 | 19 | |
| 4 | 34 | |
| 5 | 14 | |
| 6 | 55 | |
| 7 | 24 | |
| 8 | 62 | |
| 9 | 153 | |
| 10 | 21 | |
| 11 | 143 | |
| 12 | 2-Methyl-6-(phenylethynyl)-pyridine (MPEP), a potent, selective and systemically active mGlu5 receptor antagonistbreakdown → | 628 |
| 13 | 20 | |
| 14 | 27 | |
| 15 | 16 | |
| 16 | 9 | |
| 17 | 9 | |
| 18 | 99 | |
| 19 | 9 | |
| 20 | 13 |
About Stephan Urwyler
Stephan Urwyler is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Spectroscopy, having authored 55 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (37 papers), Receptor Mechanisms and Signaling (23 papers) and Neurotransmitter Receptor Influence on Behavior (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Biological Psychiatry (119 citations) and Molecular Biology (1.7k citations). Stephan Urwyler has collaborated with scholars based in Switzerland, Japan and United States. Frequent co-authors include Klemens Kaupmann, Johannes Mosbacher, Wolfgang Froestl, Kurt Lingenhoehl, Jakob Heid, Bernhard Bettler, D. M. Coward, Karin Hofstetter, F. Gasparini and Manuel Koller. Their work appears in journals such as Pharmacological Reviews, Journal of Medicinal Chemistry and Journal of Neurochemistry.
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.