Thibaut Léger

2.7k citations
60 papers · 2.0k · h-index 26

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 5
    • Glycosylation and Glycoproteins Research 3
    • RNA Research and Splicing 3
    • Mitochondrial Function and Pathology 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Advanced Proteomics Techniques and Applications 5

Thibaut Léger

59 papers receiving 2.0k citations

Peers

Thibaut Léger
Comparison fields: 5 of 130
  • Sensory Systems 137
  • Clinical Biochemistry 180
  • Molecular Biology 946
  • Aging 20
  • Nephrology 74
Replace Massoud Houshmand with:
Massoud Houshmand Iran
Graziano Colombo Italy
Jianxin Lü China
Jean-Paul Paı̈s de Barros France
In Gyu Kim South Korea
Ryo Funayama Japan
Martine Torrès United States
Steven P. Gieseg New Zealand
Yan Huang China
Bernard Lardy France
Thibaut Léger relative to Massoud Houshmand Iran Massoud Houshmand's profile →
Citations per field
00.5×1.5×2.2×
Massoud Houshmand · 1×
Citations per year

Countries citing papers authored by Thibaut Léger

Since Specialization
Citations

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

Fields of papers citing papers by Thibaut Léger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014212
2 2008177
3 2017147
4 2012104
5 201486
6 201272
7 201267
8 201366
9 201665
10 201961
11 201553
12 201751
13 201649
14 201547
15 201543
16 201443
17 201242
18 201442
19 201838
20 201935

About Thibaut Léger

Thibaut Léger is a scholar working on Molecular Biology, Spectroscopy, Infectious Diseases, Surgery and Oncology, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Advanced Proteomics Techniques and Applications (5 papers), Glycosylation and Glycoproteins Research (3 papers), RNA Research and Splicing (3 papers), Mitochondrial Function and Pathology (3 papers), Peptidase Inhibition and Analysis (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Sensory Systems (137 citations), Clinical Biochemistry (180 citations), Molecular Biology (946 citations), Aging (20 citations) and Nephrology (74 citations). Thibaut Léger has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Jean‐Michel Camadro, Aazdine Lamouri, Gilbert Richarme, Julien Dairou, Mouadh Mihoub, Camille Garcia, Linh Chi Bui, Emmanuel Lesuisse, Pierre Launay and Ivan Cruz Moura. Their work appears in journals such as Molecular & Cellular Proteomics, Scientific Reports, Journal of Hazardous Materials, Journal of Biological Chemistry and Nucleic Acids Research.

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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