Raphaël Meier

2.6k citations
93 papers · 1.6k · h-index 23

Impact in

Papers in

    • Organ Transplantation Techniques and Outcomes 31
    • Pancreatic function and diabetes 21
    • Xenotransplantation and immune response 18
    • Tissue Engineering and Regenerative Medicine 14
    • Liver Disease and Transplantation 15
    • Liver physiology and pathology 9

Raphaël Meier

78 papers receiving 1.6k citations

Peers

Raphaël Meier
Comparison fields: 5 of 106
  • Hepatology 248
  • Transplantation 67
  • Surgery 1.0k
  • Orthopedics and Sports Medicine 174
  • Genetics 199
Replace Kathleen S. Egan with:
Kathleen S. Egan United States
Keita Yamasaki Japan
Gerd R. Silberhumer Austria
Andrew Jackson United States
Amedeo Carraro Italy
Thomas M. Suszynski United States
Patrick Laharrague France
Kyo Won Lee South Korea
MD Menger Germany
Ashwani Gupta India
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Citations per field
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Citations per year

Countries citing papers authored by Raphaël Meier

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012174
2 2013129
3 2014121
4 201183
5 201069
6 201152
7 201752
8 201749
9 201948
10 202240
11 201140
12 201139
13 201337
14 201733
15 201532
16 201431
17 201729
18 201927
19 201426
20 201524

About Raphaël Meier

Raphaël Meier is a scholar working on Surgery, Hepatology, Genetics, Oncology and Public Health, Environmental and Occupational Health, having authored 93 papers that have together received 1.6k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (31 papers), Pancreatic function and diabetes (21 papers), Xenotransplantation and immune response (18 papers), Liver Disease and Transplantation (15 papers), Tissue Engineering and Regenerative Medicine (14 papers), Diabetes and associated disorders (11 papers), Organ Donation and Transplantation (11 papers) and Liver physiology and pathology (9 papers). The work is most often cited by research in Hepatology (248 citations), Transplantation (67 citations), Surgery (1.0k citations), Orthopedics and Sports Medicine (174 citations) and Genetics (199 citations). Raphaël Meier has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Léo H. Bühler, Philippe Morel, Yannick D. Müller, Carmen Gonelle‐Gispert, Robin Peter, Richard Stern, René Rizzoli, Thierry Berney, Thomas Perneger and Christian Toso. Their work appears in journals such as Transplantation, Xenotransplantation, Frontiers in Immunology, American Journal of Transplantation and Transplant International.

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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