Philippe Wiesel
Impact in
-
- Thermal Regulation in Medicine
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 5
- TGF-β signaling in diseases 2
-
- Nitric Oxide and Endothelin Effects 2
- Co-authors
- Mark A. Perrella (11 shared papers)Shaw‐Fang Yet (7 shared papers)Andrea Pellacani (9 shared papers)Mu-En Lee (3 shared papers)Koji Maemura (3 shared papers)Matthew D. Layne (3 shared papers)Chung-Ming Hsieh (2 shared papers)Lucia Mazzolai (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Hypertension (2 papers)Circulation Research (2 papers)Circulation (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesSwitzerlandBrazil
In The Last Decade
Philippe Wiesel
19 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 94
- Critical Care and Intensive Care Medicine 106
- Biochemistry 131
- Molecular Biology 948
- Immunology 275
- Endocrine and Autonomic Systems 68
Countries citing papers authored by Philippe Wiesel
This map shows the geographic impact of Philippe Wiesel'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 Philippe Wiesel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Wiesel more than expected).
Fields of papers citing papers by Philippe Wiesel
This network shows the impact of papers produced by Philippe Wiesel. 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 Philippe Wiesel. The network helps show where Philippe Wiesel may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Wiesel, 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 | 1999 | 339 | |
| 2 | 2000 | 163 | |
| 3 | 2000 | 149 | |
| 4 | 1997 | 149 | |
| 5 | 2000 | 143 | |
| 6 | 2016 | 140 | |
| 7 | 2000 | 107 | |
| 8 | 2008 | 95 | |
| 9 | 2001 | 87 | |
| 10 | 1999 | 54 | |
| 11 | 1999 | 53 | |
| 12 | 1998 | 53 | |
| 13 | 2000 | 45 | |
| 14 | 2023 | 44 | |
| 15 | 1999 | 36 | |
| 16 | 2019 | 35 | |
| 17 | 2001 | 29 | |
| 18 | 1997 | 26 | |
| 19 | 2023 | 24 | |
| 20 | 2025 | 0 |
About Philippe Wiesel
Philippe Wiesel is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Rheumatology and Immunology, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Protease and Inhibitor Mechanisms (2 papers), Cardiac Arrest and Resuscitation (2 papers), Renin-Angiotensin System Studies (2 papers), Liver Diseases and Immunity (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (106 citations), Biochemistry (131 citations), Molecular Biology (948 citations), Immunology (275 citations) and Endocrine and Autonomic Systems (68 citations). Philippe Wiesel has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Mark A. Perrella, Shaw‐Fang Yet, Andrea Pellacani, Mu-En Lee, Koji Maemura, Matthew D. Layne, Chung-Ming Hsieh, Lucia Mazzolai, Thierry Pedrazzini and Jürg Nussberger. Their work appears in journals such as Journal of Biological Chemistry, Hypertension, Circulation Research, Circulation and The FASEB Journal.
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.