G Feutren

2.4k citations
50 papers · 1.6k · h-index 19

Impact in

Papers in

G Feutren

50 papers receiving 1.5k citations

Peers

G Feutren
Comparison fields: 5 of 86
  • Transplantation 205
  • Endocrinology, Diabetes and Metabolism 425
  • Genetics 600
  • Immunology 358
  • Family Practice 27
Replace J. Klempnauer with:
J. Klempnauer Germany
Eleanor L. Ramos United States
Marc Hazzan France
Gunnela Nordén Sweden
D. E. R. Sutherland United States
David A. Laskow United States
Mohammed Yousuf Karim United Kingdom
Kazuharu Uchida Japan
F. Vincenti United States
C Brattström Sweden
G Feutren relative to J. Klempnauer Germany J. Klempnauer's profile →
Citations per field
00.5×
J. Klempnauer · 1×
Citations per year

Countries citing papers authored by G Feutren

Since Specialization
Citations

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

Fields of papers citing papers by G Feutren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986331
2 1992313
3 1985134
4
Cyclosporin A nephropathy: standardization of the evaluation of kidney biopsies.
199480
5 201365
6 199064
7 199053
8 198752
9 199846
10 199045
11 199237
12 199029
13 198927
14
FK 506/fluconazole interaction enhances FK 506 nephrotoxicity.
199425
15 198720
16 198520
17 198420
18
The kidney in cyclosporin A-treated diabetic patients: a long-term clinicopathological study.
199419
19 199018
20 198516

About G Feutren

G Feutren is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Immunology, Surgery and Transplantation, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diabetes and associated disorders (17 papers), Diabetes Management and Research (12 papers), Pancreatic function and diabetes (9 papers), Diabetes Treatment and Management (8 papers), Renal Transplantation Outcomes and Treatments (7 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Psoriasis: Treatment and Pathogenesis (6 papers) and Oral and gingival health research (5 papers). The work is most often cited by research in Transplantation (205 citations), Endocrinology, Diabetes and Metabolism (425 citations), Genetics (600 citations), Immunology (358 citations) and Family Practice (27 citations). G Feutren has collaborated with scholars based in France, Switzerland and Japan. Frequent co-authors include Michael J. Mihatsch, Jean‐François Bach, R Assan, Jean Sirmai, L Papoz, B. von Graffenried, P Vexiau, M. Rodier, Gérard Karsenty and A Lallemand. Their work appears in journals such as Diabetes, British Journal of Dermatology, Journal of Autoimmunity, Transplantation and The Lancet.

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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