Raphaël Favory

7.7k citations
73 papers · 2.3k · h-index 25

Impact in

Papers in

    • Sepsis Diagnosis and Treatment 12
    • Heme Oxygenase-1 and Carbon Monoxide 6
    • Mitochondrial Function and Pathology 4

Raphaël Favory

68 papers receiving 2.3k citations

Peers

Raphaël Favory
Comparison fields: 5 of 123
  • Critical Care and Intensive Care Medicine 501
  • Emergency Medicine 223
  • Epidemiology 646
  • Nephrology 114
  • Applied Microbiology and Biotechnology 29
Replace Charalampos Pierrakos with:
Charalampos Pierrakos Belgium
Kazuma Yamakawa Japan
Yannick Mallédant France
Hiroyasu Ishikura Japan
Julien Pottecher France
Katia Donadello Belgium
Epaminondas Zakynthinos Greece
Stefan Hofer Germany
Angelo Raffaele De Gaudio Italy
Antoine Kimmoun France
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Citations per field
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Charalampos Pierrakos · 1×
Citations per year

Countries citing papers authored by Raphaël Favory

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Raphaël Favory Line = papers co-authored together Raphaël Favory links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010286
2 2009163
3 2008159
4 2013155
5 2006151
6 2011139
7 2008123
8 2005100
9 200684
10 201771
11 201462
12 201155
13 200650
14 201842
15 201042
16 201440
17 200639
18 201938
19 200933
20 200631

About Raphaël Favory

Raphaël Favory is a scholar working on Epidemiology, Molecular Biology, Critical Care and Intensive Care Medicine, Surgery and Emergency Medicine, having authored 73 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (12 papers), Hemodynamic Monitoring and Therapy (7 papers), Heme Oxygenase-1 and Carbon Monoxide (6 papers), Intensive Care Unit Cognitive Disorders (5 papers), Cardiac Arrest and Resuscitation (4 papers), Mitochondrial Function and Pathology (4 papers), Renal function and acid-base balance (4 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (501 citations), Emergency Medicine (223 citations), Epidemiology (646 citations), Nephrology (114 citations) and Applied Microbiology and Biotechnology (29 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, Brigitte Decoster, Daniel Mathieu, 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.

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