M. Lecomte

1.3k citations
38 papers · 1.1k · h-index 15

Impact in

    • Eicosanoids and Hypertension Pharmacology
    • Inflammatory mediators and NSAID effects
    • Pharmacogenetics and Drug Metabolism

Papers in

M. Lecomte

35 papers receiving 1.0k citations

Peers

M. Lecomte
Comparison fields: 5 of 100
  • Biochemistry 163
  • Pharmacology 338
  • Clinical Biochemistry 60
  • Pharmacology 68
  • Genetics 79
Replace Kiyoshi Takayama with:
Kiyoshi Takayama Japan
Richard S. Kent United States
Thomas Thekkumkara United States
Françoise Pecker France
Anwar R. Baydoun United Kingdom
Stephen P. Halenda United States
Jie Ren China
Hong Xin China
J Leszczynska-Piziak United States
Lisa D. Baier United States
M. Lecomte relative to Kiyoshi Takayama Japan Kiyoshi Takayama's profile →
Citations per field
00.5×3.4×
Kiyoshi Takayama · 1×
Citations per year

Countries citing papers authored by M. Lecomte

Since Specialization
Citations

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

Fields of papers citing papers by M. Lecomte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994326
2 1995103
3 199868
4 200568
5 199962
6 201562
7 198856
8
Involvement of cell-cell interactions in the pathogenesis of diabetic retinopathy.
199739
9 199830
10 199026
11 201024
12 201623
13 200821
14 199820
15 202319
16 200412
17 201811
18 20179
19 19989
20 20248

About M. Lecomte

M. Lecomte is a scholar working on Molecular Biology, Sensory Systems, Endocrinology, Diabetes and Metabolism, Genetics and Biochemistry, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (7 papers), Eicosanoids and Hypertension Pharmacology (5 papers), RNA regulation and disease (4 papers), Pancreatic function and diabetes (4 papers), Inflammatory mediators and NSAID effects (4 papers), Diabetes Management and Research (3 papers), Diabetes and associated disorders (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Biochemistry (163 citations), Pharmacology (338 citations), Clinical Biochemistry (60 citations), Pharmacology (68 citations) and Genetics (79 citations). M. Lecomte has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include William L. Smith, Chen Ji, Odette Laneuville, David L. DeWitt, Nicolas Wiernsperger, Michel Lagarde, James P. Dunn, D.K. Bhattacharyya, David J. Morgans and Christian Schindler. Their work appears in journals such as Journal of Biological Chemistry, JCI Insight, Prostaglandins Leukotrienes and Essential Fatty Acids, Journal of Neurochemistry and Molecular Metabolism.

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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