Raphaël Cauchois
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 12
-
- Complement system in diseases 6
- Co-authors
- Gilles Kaplanski (18 shared papers)Marie Koubi (7 shared papers)O. Laccourreye (5 shared papers)Pierre‐André Jarrot (9 shared papers)Rodolphe Jean (8 shared papers)Julien Carvelli (4 shared papers)Valéry Blasco (2 shared papers)Vanessa Pauly (2 shared papers)
- Journals
- Journal of Thrombosis and Haemostasis (2 papers)Blood (2 papers)Journal of Medical Virology (1 paper)Haematologica (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Raphaël Cauchois
27 papers receiving 765 citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 373
- Neurology 207
- Otorhinolaryngology 44
- Internal Medicine 26
- Hematology 78
Countries citing papers authored by Raphaël Cauchois
This map shows the geographic impact of Raphaël Cauchois'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 Raphaël Cauchois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Cauchois more than expected).
Fields of papers citing papers by Raphaël Cauchois
This network shows the impact of papers produced by Raphaël Cauchois. 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 Raphaël Cauchois. The network helps show where Raphaël Cauchois may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Cauchois, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 168 | |
| 2 | 2021 | 135 | |
| 3 | 2021 | 122 | |
| 4 | 2020 | 105 | |
| 5 | 1993 | 52 | |
| 6 | 2021 | 29 | |
| 7 | 2021 | 24 | |
| 8 | 2018 | 22 | |
| 9 | 2005 | 22 | |
| 10 | 2020 | 17 | |
| 11 | 2021 | 15 | |
| 12 | 2005 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2023 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2009 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2022 | 3 |
About Raphaël Cauchois
Raphaël Cauchois is a scholar working on Infectious Diseases, Immunology, Neurology, Hematology and Nephrology, having authored 32 papers that have together received 786 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (12 papers), Complement system in diseases (6 papers), Long-Term Effects of COVID-19 (5 papers), Renal Diseases and Glomerulopathies (3 papers), Platelet Disorders and Treatments (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), COVID-19 and healthcare impacts (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Infectious Diseases (373 citations), Neurology (207 citations), Otorhinolaryngology (44 citations), Internal Medicine (26 citations) and Hematology (78 citations). Raphaël Cauchois has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Gilles Kaplanski, Marie Koubi, O. Laccourreye, Pierre‐André Jarrot, Rodolphe Jean, Julien Carvelli, Valéry Blasco, Vanessa Pauly, Karin Mazodier and Vincent Pestre. Their work appears in journals such as Journal of Thrombosis and Haemostasis, Blood, Journal of Medical Virology, Haematologica and British Journal of Haematology.
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.