Philippe Camus
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 19
- Respiratory and Cough-Related Research 9
- Occupational and environmental lung diseases 4
- Genetics top 10%
- Epidemiology top 10%
- Pneumocystis jirovecii pneumonia detection and treatment 4
- Physiology top 10%
- Sarcoidosis and Beryllium Toxicity Research 5
- Oncology top 10%
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- Superconducting and THz Device Technology 7
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- Advanced Thermodynamic Systems and Engines 6
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- Spacecraft and Cryogenic Technologies 4
Philippe Camus
56 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 129
- Pulmonary and Respiratory Medicine 1.2k
- Genetics 123
- Epidemiology 393
- Physiology 285
- Oncology 288
Countries citing papers authored by Philippe Camus
This map shows the geographic impact of Philippe Camus'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 Camus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Camus more than expected).
Fields of papers citing papers by Philippe Camus
This network shows the impact of papers produced by Philippe Camus. 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 Camus. The network helps show where Philippe Camus may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philippe Camus, 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 | 2023 | 7 | |
| 2 | 2022 | 4 | |
| 3 | 2019 | 96 | |
| 4 | 2016 | 2 | |
| 5 | Non-Organic Acute Upper Airway Obstruction | 2015 | 0 |
| 6 | 2015 | 9 | |
| 7 | 2014 | 18 | |
| 8 | 2013 | 2 | |
| 9 | Modelling time reversal applications in a reverberation chamber using the current image method | 2013 | 1 |
| 10 | 2013 | 0 | |
| 11 | 2013 | 34 | |
| 12 | 2010 | 156 | |
| 13 | 2009 | 1 | |
| 14 | 2007 | 103 | |
| 15 | 2007 | 1 | |
| 16 | 2005 | 20 | |
| 17 | 2005 | 7 | |
| 18 | 2004 | 275 | |
| 19 | 1996 | 36 | |
| 20 | 1992 | 14 |
About Philippe Camus
Philippe Camus is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Astronomy and Astrophysics, Biochemistry and Transplantation, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (19 papers), Respiratory and Cough-Related Research (9 papers), Superconducting and THz Device Technology (7 papers), Advanced Thermodynamic Systems and Engines (6 papers), Sarcoidosis and Beryllium Toxicity Research (5 papers), Spacecraft and Cryogenic Technologies (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and Occupational and environmental lung diseases (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.2k citations), Genetics (123 citations), Epidemiology (393 citations), Physiology (285 citations) and Oncology (288 citations). Philippe Camus has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Philippe Bonniaud, Pascal Foucher, Clio Camus, Annlyse Fanton, Thomas V. Colby, T Ashcroft, F Piard, Anthony A. Gal, Edward C. Rosenow and William Martin. Their work appears in journals such as Clinics in Chest Medicine, Respiration, European Respiratory Journal, CHEST Journal and Journal of Low Temperature Physics.
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.