M. Pinget

5.4k citations
202 papers · 3.9k · h-index 34

Impact in

Papers in

M. Pinget

186 papers receiving 3.8k citations

Peers

M. Pinget
Comparison fields: 5 of 141
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Pharmaceutical Science 236
  • Surgery 1.1k
  • Rehabilitation 152
  • Genetics 482
Replace Takayoshi Suganami with:
Takayoshi Suganami Japan
Dennis K. Yue Australia
Kyung Soo Ko South Korea
Laila Ahmed Rashed Egypt
Andrea Galli Italy
Eugénia Carvalho Portugal
Annemieke Verstuyf Belgium
Wenke Feng United States
Jong‐Hwei S. Pang Taiwan
Chiang‐Ting Chien Taiwan
M. Pinget relative to Takayoshi Suganami Japan Takayoshi Suganami's profile →
Citations per field
00.5×1.5×
Takayoshi Suganami · 1×
Citations per year

Countries citing papers authored by M. Pinget

Since Specialization
Citations

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

Fields of papers citing papers by M. Pinget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 202 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016256
2 2018229
3 2003192
4 1979138
5 2013125
6 2011102
7 201275
8 200375
9 200174
10 200573
11 197869
12 201567
13 200566
14 202066
15 201460
16 201957
17
Von Willebrand factor in diabetic angiopathy.
199853
18
Type 2 diabetes mellitus: association study of five candidate genes in an Indian population of Guadeloupe, genetic contribution of FABP2 polymorphism.
199952
19 200251
20 200850

About M. Pinget

M. Pinget is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Molecular Biology and Pharmacology, having authored 202 papers that have together received 3.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (65 papers), Diabetes Management and Research (51 papers), Diabetes and associated disorders (28 papers), Diabetes Treatment and Management (23 papers), Metabolism, Diabetes, and Cancer (14 papers), Antibiotics Pharmacokinetics and Efficacy (14 papers), Cannabis and Cannabinoid Research (10 papers) and Drug Transport and Resistance Mechanisms (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Pharmaceutical Science (236 citations), Surgery (1.1k citations), Rehabilitation (152 citations) and Genetics (482 citations). M. Pinget has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Laurence Kessler, S. Sigrist, N. Jeandidier, W. Bietiger, Élisa Maillard, Eugene Straus, Rosalyn S. Yalow, C. Péronet, A. Belcourt and A. Langlois. Their work appears in journals such as Diabetes & Metabolism, Hormone and Metabolic Research, Cell Transplantation, Chemotherapy and Diabetes Care.

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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