Michel Eugène

84 papers receiving 1.6k citations

Peers

Michel Eugène
Comparison fields: 5 of 105
  • Transplantation 365
  • Hepatology 324
  • Nephrology 164
  • Surgery 907
  • Clinical Biochemistry 123
Replace Michel Carretier with:
Michel Carretier France
F. O. Belzer United States
Frank Ulrich Germany
Paula Jablonski Australia
Núria Lloberas Spain
Søren Erik Pischke Norway
Wayel Jassem United Kingdom
W. Isselhard Germany
Marta Riera Spain
Tongyu Zhu China
Michel Eugène relative to Michel Carretier France Michel Carretier's profile →
Citations per field
00.5×1.5×
Michel Carretier · 1×
Citations per year

Countries citing papers authored by Michel Eugène

Since Specialization
Citations

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

Fields of papers citing papers by Michel Eugène

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200992
2 200283
3 198877
4 200076
5 199368
6 200867
7 200756
8 200052
9 199751
10 200248
11 200448
12 199440
13 199840
14 201140
15 200135
16
Polyethyleneglycols and immunocamouflage of the cells tissues and organs for transplantation.
200433
17 199832
18 199231
19 200029
20 200226

About Michel Eugène

Michel Eugène is a scholar working on Transplantation, Hepatology, Clinical Biochemistry, Surgery and Nephrology, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (48 papers), Renal Transplantation Outcomes and Treatments (25 papers), Liver Disease and Transplantation (23 papers), Organ Donation and Transplantation (18 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Metabolism and Genetic Disorders (11 papers), Cardiac Ischemia and Reperfusion (11 papers) and Advanced MRI Techniques and Applications (9 papers). The work is most often cited by research in Transplantation (365 citations), Hepatology (324 citations), Nephrology (164 citations), Surgery (907 citations) and Clinical Biochemistry (123 citations). Michel Eugène has collaborated with scholars based in France, Morocco and Democratic Republic of the Congo. Frequent co-authors include Thierry Hauet, Michel Carretier, Jean Michel Goujon, Hervé Baumert, Hélène Gibelin, Jean‐Michel Goujon, Alain Vandewalle, Isabelle Petit, Jean‐Paul Tillement and Benoı̂t Barrou. Their work appears in journals such as Transplantation, Transplant International, Journal of Pharmacology and Experimental Therapeutics, Journal of Surgical Research and Cryobiology.

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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