M.-P. Wautier

1.7k citations
34 papers · 1.5k · h-index 17

Impact in

Papers in

M.-P. Wautier

31 papers receiving 1.4k citations

Peers

M.-P. Wautier
Comparison fields: 5 of 94
  • Clinical Biochemistry 713
  • Endocrinology, Diabetes and Metabolism 341
  • Nephrology 122
  • Physiology 379
  • Genetics 155
Replace Evis Harja with:
Evis Harja United States
A.M. Schmidt United States
Wai Han Yiu Hong Kong
Luis Ferran United States
Stefan-Martin Herrmann Germany
Elyce Ozols Australia
Naifeng Liu China
Montserrat Aguilar-Hernández Mexico
Christiane Viedt Germany
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M.-P. Wautier relative to Evis Harja United States Evis Harja's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.-P. Wautier

Since Specialization
Citations

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

Fields of papers citing papers by M.-P. Wautier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996469
2 1994308
3 200686
4 200881
5 199776
6 201174
7 200564
8 198535
9 201430
10 200929
11 200825
12
Blood cells and vascular cell interactions in diabetes.
200125
13 200922
14 199621
15 200917
16 199917
17 200616
18 198613
19
ASPECTS PHYSIOPATHOLOGIQUES DE L'ANGIOPATHIE DIABÉTIQUE
19997
20
Monokines and endothelial cell proliferation in patients with diabetes mellitus.
19947

About M.-P. Wautier

M.-P. Wautier is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Immunology and Allergy, Physiology and Hematology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (13 papers), Cell Adhesion Molecules Research (8 papers), Natural Antidiabetic Agents Studies (7 papers), Erythrocyte Function and Pathophysiology (5 papers), Blood groups and transfusion (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Neurological Disorders and Treatments (3 papers) and Platelet Disorders and Treatments (3 papers). The work is most often cited by research in Clinical Biochemistry (713 citations), Endocrinology, Diabetes and Metabolism (341 citations), Nephrology (122 citations), Physiology (379 citations) and Genetics (155 citations). M.-P. Wautier has collaborated with scholars based in France and United States. Frequent co-authors include Jean‐Luc Wautier, Olivier Chappey, Clotilde Zoukourian, Osamu Hori, P.-J. Guillausseau, Ann Marie Schmidt, D Stern, Rong Cao, J L Wautier and Nicolas Grossin. Their work appears in journals such as Diabetes & Metabolism, Journal of Thrombosis and Haemostasis, Thrombosis Research, Cell Biology and Toxicology and British Journal of Haematology.

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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