Philippe Rouger

2.8k citations
128 papers · 2.1k · h-index 26

Impact in

Papers in

    • Blood groups and transfusion 66
    • Erythrocyte Function and Pathophysiology 27

Philippe Rouger

126 papers receiving 2.0k citations

Peers

Philippe Rouger
Comparison fields: 5 of 98
  • Hematology 989
  • Hepatology 248
  • Genetics 234
  • Virology 104
  • Transplantation 56
Replace C. Levene with:
C. Levene Israel
Karina Yazdanbakhsh United States
Jean‐Yves Muller France
Joann M. Moulds United States
Ilias I.N. Doxiadis Netherlands
Paula Dilger United Kingdom
J. D’Amaro Netherlands
Motohiro Hamaguchi Japan
Bjarte G. Solheim Norway
Robert J. Hartzman United States
Philippe Rouger relative to C. Levene Israel C. Levene's profile →
Citations per field
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C. Levene · 1×
Citations per year

Countries citing papers authored by Philippe Rouger

Since Specialization
Citations

This map shows the geographic impact of Philippe Rouger'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 Rouger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Rouger more than expected).

Fields of papers citing papers by Philippe Rouger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe Rouger. 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 Rouger. The network helps show where Philippe Rouger may publish in the future.

Co-authors

The 25 scholars most cited alongside Philippe Rouger, 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 Philippe Rouger Line = papers co-authored together Philippe Rouger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990253
2 2002121
3 1986109
4 200695
5 198781
6 200056
7 199355
8 199054
9 199050
10 199548
11 200142
12 200641
13 200838
14 198738
15 201036
16 199836
17 199030
18 199530
19 199829
20 200829

About Philippe Rouger

Philippe Rouger is a scholar working on Hematology, Physiology, Management of Technology and Innovation, Epidemiology and Immunology, having authored 128 papers that have together received 2.1k indexed citations. Recurring topics across this work include Blood groups and transfusion (66 papers), Erythrocyte Function and Pathophysiology (27 papers), Blood donation and transfusion practices (18 papers), Health, Medicine and Society (13 papers), Immune Cell Function and Interaction (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Blood disorders and treatments (8 papers) and Healthcare Systems and Practices (7 papers). The work is most often cited by research in Hematology (989 citations), Hepatology (248 citations), Genetics (234 citations), Virology (104 citations) and Transplantation (56 citations). Philippe Rouger has collaborated with scholars based in France, Morocco and Switzerland. Frequent co-authors include Pierre Gane, Raoul Poupon, Yvon Calmus, Pierre‐Yves Le Pennec, Jean‐Pierre Cartron, F. Noizat‐Pirenne, Hélène Ansart‐Pirenne, Issam Mansour, Charles T. Salmon and Thierry Peyrard. Their work appears in journals such as Transfusion, Blood, Transfusion Clinique et Biologique, Vox Sanguinis and Cytometry.

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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