Serge Léger

4.1k citations
62 papers · 1.6k · h-index 23

Impact in

Papers in

    • Authorship Attribution and Profiling 9
    • Natural Language Processing Techniques 8
    • Topic Modeling 5
    • Intelligent Tutoring Systems and Adaptive Learning 5
    • AI-based Problem Solving and Planning 4

Serge Léger

60 papers receiving 1.4k citations

Peers

Serge Léger
Comparison fields: 5 of 120
  • Pharmacology 302
  • Pharmaceutical Science 117
  • Biochemistry 122
  • Equine 26
  • Organic Chemistry 463
Replace Richard W. Friesen with:
Richard W. Friesen Canada
Christine Brideau Canada
F. J. Zeelen Netherlands
George W. Carter United States
Wolfgang Albrecht Germany
André Giroux Canada
Matthew J. Graneto United States
Jennifer J. Bouska United States
Jingkang Shen China
Richard Morphy United Kingdom
Serge Léger relative to Richard W. Friesen Canada Richard W. Friesen's profile →
Citations per field
00.5×1.6×
Richard W. Friesen · 1×
Citations per year

Countries citing papers authored by Serge Léger

Since Specialization
Citations

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

Fields of papers citing papers by Serge Léger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989240
2 2005118
3 201197
4 199989
5 200672
6 200956
7 200252
8 199648
9 201446
10 199943
11 199243
12 199237
13 200036
14 199233
15 200832
16 200331
17 200131
18 200730
19 201629
20 201127

About Serge Léger

Serge Léger is a scholar working on Molecular Biology, Artificial Intelligence, Organic Chemistry, Pharmacology and Physiology, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Authorship Attribution and Profiling (9 papers), Natural Language Processing Techniques (8 papers), Inflammatory mediators and NSAID effects (8 papers), Estrogen and related hormone effects (5 papers), Topic Modeling (5 papers), Asthma and respiratory diseases (5 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and AI-based Problem Solving and Planning (4 papers). The work is most often cited by research in Pharmacology (302 citations), Pharmaceutical Science (117 citations), Biochemistry (122 citations), Equine (26 citations) and Organic Chemistry (463 citations). Serge Léger has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Cyril Goutte, W. Cameron Black, Dan Tulpan, Robert Zamboni, M. David Percival, Christopher I. Bayly, Jean‐Pierre Falgueyret, Frédéric Massé, Thomas R. Jones and Éric Champion. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, BMC Bioinformatics, Journal of Medicinal Chemistry, Canadian Journal of Physiology and Pharmacology and Molecular Pharmacology.

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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