M.-P. Wautier

1.7k citations
32 papers · 1.4k indexed · h-index 17

M.-P. Wautier

30 papers receiving 1.4k citations

Peers

M.-P. Wautier
Comparison fields: 5 of 91
  • Clinical Biochemistry 735
  • Endocrinology, Diabetes and Metabolism 411
  • Nephrology 137
  • Physiology 407
  • Genetics 156
Replace Evis Harja with:
Evis Harja United States
A.M. Schmidt United States
Luis Ferran United States
James M. Tauras United States
Stefan-Martin Herrmann Germany
Usha Panchapakesan Australia
Montserrat Aguilar-Hernández Mexico
Maria Teresa Gandolfo Italy
Dariusz Moczulski Poland
Stephen Futterweit United States
M.-P. Wautier relative to Evis Harja United States Evis Harja's profile →
Citations per field
00.5×2.6×
Evis Harja · 1×
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-authorship network

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
#Work
1 201430
2 201168
3 20105
4 200917
5 200921
6 200928
7 20083
8 200825
9 200875
10 200682
11 200616
12 200563
13 20001
14
ASPECTS PHYSIOPATHOLOGIQUES DE L'ANGIOPATHIE DIABÉTIQUE
19997
15 19994
16 199771
17 199621
18 1996438
19 19954
20 19921

About M.-P. Wautier

M.-P. Wautier is a scholar working on Clinical Biochemistry, Immunology and Allergy, Endocrinology, Diabetes and Metabolism, Hematology and Genetics, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (13 papers), Natural Antidiabetic Agents Studies (8 papers), Erythrocyte Function and Pathophysiology (7 papers), Cell Adhesion Molecules Research (7 papers), Blood properties and coagulation (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Alcohol Consumption and Health Effects (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Clinical Biochemistry (735 citations), Endocrinology, Diabetes and Metabolism (411 citations), Nephrology (137 citations), Physiology (407 citations) and Genetics (156 citations). M.-P. Wautier has collaborated with scholars based in France and United States. Frequent co-authors include Jean‐Luc Wautier, Olivier Chappey, Osamu Hori, Clotilde Zoukourian, 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, Thrombosis Research, Cell Biology and Toxicology, British Journal of Haematology and Journal of Pharmacology and Experimental Therapeutics.

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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