Marc Lecomte

23 papers receiving 867 citations

Peers

Marc Lecomte
Comparison fields: 5 of 79
  • Clinical Biochemistry 254
  • Ophthalmology 100
  • Pharmacology 140
  • Pharmaceutical Science 39
  • Biochemistry 36
Replace Giuliana Leoncini with:
Giuliana Leoncini Italy
Tsuyoshi Tanimoto Japan
Keizo Ito Japan
Toshihiro Suzuki Japan
Luc Marti France
Maria Grazia Signorello Italy
Peng Chu China
Reeba Kannimel Vikramadithyan United States
J. Peyroux France
Samuel Rahbar United States
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Citations per field
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Giuliana Leoncini · 1×
Citations per year

Countries citing papers authored by Marc Lecomte

Since Specialization
Citations

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

Fields of papers citing papers by Marc Lecomte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999205
2 1996162
3 2002120
4 199882
5 199847
6 199646
7 199937
8 201931
9 199729
10 200923
11 200416
12 202516
13 200915
14 202415
15 201913
16 201212
17 199711
18 20209
19 20237
20 19956

About Marc Lecomte

Marc Lecomte is a scholar working on Clinical Biochemistry, Pharmaceutical Science, Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 23 papers that have together received 912 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (9 papers), Computational Drug Discovery Methods (4 papers), Drug Solubulity and Delivery Systems (3 papers), Hormonal Regulation and Hypertension (3 papers), Synthesis and biological activity (3 papers), Inflammatory mediators and NSAID effects (2 papers), Cancer, Hypoxia, and Metabolism (1 paper) and Synthesis of heterocyclic compounds (1 paper). The work is most often cited by research in Clinical Biochemistry (254 citations), Ophthalmology (100 citations), Pharmacology (140 citations), Pharmaceutical Science (39 citations) and Biochemistry (36 citations). Marc Lecomte has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Nicolas F. Wiernsperger, Michel Lagarde, Daniel Ruggiero-Lopez, Gerard. Moinet, William Lee Smith, Dipak Kr. Bhattacharyya, Caroline Jill Rieke, R. Michael Garavito, L. Tranqui and Bruno Vailhé. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Biochemical and Biophysical Research Communications, Diabetes Research and Clinical Practice, Molecular Pharmaceutics and Free Radical Biology and Medicine.

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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