Raphaël Favory
Impact in
-
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Intensive Care Unit Cognitive Disorders
- Nosocomial Infections in ICU
- Emergency Medicine top 2%
- Cardiac Arrest and Resuscitation
Papers in
-
- Intensive Care Unit Cognitive Disorders 8
-
- Cardiac Arrest and Resuscitation 12
- Co-authors
- Rémi NevièreDaniel De BackerJean‐Louis VincentSteve LancelDiamantino SalgadoJacques CréteurDaniel MathieuBrigitte Decoster
- Journals
- Critical Care (13 papers)Annals of Intensive Care (7 papers)Critical Care Medicine (4 papers)Shock (4 papers)Intensive Care Medicine (3 papers)
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Raphaël Favory
66 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 130
- Critical Care and Intensive Care Medicine 676
- Emergency Medicine 359
- Epidemiology 922
- Nephrology 168
- Applied Microbiology and Biotechnology 45
Countries citing papers authored by Raphaël Favory
This map shows the geographic impact of Raphaël Favory'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 Favory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Favory more than expected).
Fields of papers citing papers by Raphaël Favory
This network shows the impact of papers produced by Raphaël Favory. 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 Favory. The network helps show where Raphaël Favory may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raphaël Favory, 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 | 5 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 18 | |
| 5 | 2020 | 21 | |
| 6 | 2020 | 24 | |
| 7 | 2018 | 8 | |
| 8 | 2017 | 4 | |
| 9 | 2017 | 69 | |
| 10 | 2014 | 40 | |
| 11 | 2014 | 8 | |
| 12 | 2014 | 62 | |
| 13 | 2013 | 8 | |
| 14 | 2013 | 154 | |
| 15 | 2011 | 55 | |
| 16 | 2008 | 122 | |
| 17 | 2006 | 39 | |
| 18 | 2006 | 84 | |
| 19 | 2006 | 18 | |
| 20 | 2004 | 2 |
About Raphaël Favory
Raphaël Favory is a scholar working on Critical Care and Intensive Care Medicine, Emergency Medicine, Internal Medicine, Epidemiology and Nephrology, having authored 71 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (30 papers), Cardiac Arrest and Resuscitation (12 papers), Hemodynamic Monitoring and Therapy (12 papers), Intensive Care Unit Cognitive Disorders (8 papers), Heme Oxygenase-1 and Carbon Monoxide (7 papers), Respiratory Support and Mechanisms (6 papers), Renal function and acid-base balance (6 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (676 citations), Emergency Medicine (359 citations), Epidemiology (922 citations), Nephrology (168 citations) and Applied Microbiology and Biotechnology (45 citations). Raphaël Favory has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Rémi Nevière, Daniel De Backer, Jean‐Louis Vincent, Steve Lancel, Diamantino Salgado, Jacques Créteur, Daniel Mathieu, Brigitte Decoster, Sidi Mohamed Hassoun and Saad Nseir. Their work appears in journals such as Critical Care, Annals of Intensive Care, Critical Care Medicine, Shock and Intensive Care Medicine.
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.