Walter Fischli
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 2%
- Cellular and Molecular Neuroscience top 2%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Martine ClozelA GoldsteinJean‐Paul ClozelMichael W. HunkapillerLeroy HoodThomas WellerPatrick HessChristoph A. Binkert
- Topics
- Renin-Angiotensin System Studies (34 papers)Receptor Mechanisms and Signaling (27 papers)Hormonal Regulation and Hypertension (17 papers)
- Cited by
- Endocrine and Autonomic SystemsCardiology and Cardiovascular MedicineCellular and Molecular Neuroscience
- Partner nations
- SwitzerlandUnited StatesNetherlands
In The Last Decade
Walter Fischli
75 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.6k
- Cardiology and Cardiovascular Medicine 1.5k
- Physiology 1.1k
- Cellular and Molecular Neuroscience 990
- Endocrine and Autonomic Systems 627
Countries citing papers authored by Walter Fischli
This map shows the geographic impact of Walter Fischli'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 Walter Fischli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter Fischli more than expected).
Fields of papers citing papers by Walter Fischli
This network shows the impact of papers produced by Walter Fischli. 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 Walter Fischli. The network helps show where Walter Fischli may publish in the future.
Co-authorship network of co-authors of Walter Fischli
This figure shows the co-authorship network connecting the top 25 collaborators of Walter Fischli. A scholar is included among the top collaborators of Walter Fischli 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 Walter Fischli. Walter Fischli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 15 | |
| 3 | 15 | |
| 4 | 9 | |
| 5 | 108 | |
| 6 | 9 | |
| 7 | 79 | |
| 8 | 52 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 10 | |
| 12 | 9 | |
| 13 | Discovery of remikiren as the first orally active renin inhibitor. | 8 |
| 14 | 14 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 28 | |
| 18 | 96 | |
| 19 | 76 | |
| 20 | 2 |
About Walter Fischli
Walter Fischli is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 75 papers that have together received 4.3k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (34 papers), Receptor Mechanisms and Signaling (27 papers) and Hormonal Regulation and Hypertension (17 papers). The work is most often cited by research in Endocrine and Autonomic Systems (627 citations), Cardiology and Cardiovascular Medicine (1.5k citations) and Cellular and Molecular Neuroscience (990 citations). Walter Fischli has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include Martine Clozel, A Goldstein, Jean‐Paul Clozel, Michael W. Hunkapiller, Leroy Hood, Thomas Weller, Patrick Hess, Christoph A. Binkert, Huda Akil and Louise I. Lowney. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.