Serge Léger

4.0k total citations
58 papers, 1.4k citations indexed

About

Serge Léger is a scholar working on Molecular Biology, Organic Chemistry and Artificial Intelligence. According to data from OpenAlex, Serge Léger has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Organic Chemistry and 13 papers in Artificial Intelligence. Recurrent topics in Serge Léger's work include Authorship Attribution and Profiling (9 papers), Natural Language Processing Techniques (8 papers) and Inflammatory mediators and NSAID effects (8 papers). Serge Léger is often cited by papers focused on Authorship Attribution and Profiling (9 papers), Natural Language Processing Techniques (8 papers) and Inflammatory mediators and NSAID effects (8 papers). Serge Léger collaborates with scholars based in Canada, United States and Germany. Serge Léger's co-authors include Cyril Goutte, W. Cameron Black, Robert Zamboni, Dan Tulpan, M. David Percival, Christopher I. Bayly, Jean‐Pierre Falgueyret, Frédéric Massé, Éric Champion and Michel Belley and has published in prestigious journals such as Biochemistry, Journal of Medicinal Chemistry and Tetrahedron.

In The Last Decade

Serge Léger

57 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Serge Léger Canada 22 513 432 290 186 155 58 1.4k
Xiaojun Yao Macao 23 989 1.9× 211 0.5× 240 0.8× 23 0.1× 255 1.6× 99 1.9k
Miroslava Čuperlović‐Culf Canada 25 1.3k 2.6× 233 0.5× 45 0.2× 109 0.6× 135 0.9× 83 2.2k
Diego Colombo Italy 21 835 1.6× 529 1.2× 77 0.3× 39 0.2× 86 0.6× 99 1.4k
Iain M. McLay United Kingdom 22 695 1.4× 402 0.9× 233 0.8× 95 0.5× 90 0.6× 32 1.5k
Johannes Voigt United States 23 1.0k 2.0× 351 0.8× 176 0.6× 121 0.7× 227 1.5× 42 1.5k
Allison K. Doak United States 14 1.1k 2.2× 251 0.6× 208 0.7× 29 0.2× 146 0.9× 14 1.8k
Gerhard Heßler Germany 22 1.5k 2.9× 456 1.1× 127 0.4× 35 0.2× 162 1.0× 56 2.1k
Peter S. Kutchukian United States 19 1.0k 2.0× 496 1.1× 111 0.4× 118 0.6× 127 0.8× 28 1.6k
Konstantin V. Balakin Russia 25 1.0k 2.0× 579 1.3× 143 0.5× 34 0.2× 178 1.1× 95 2.0k
Adam Yasgar United States 25 1.4k 2.7× 271 0.6× 179 0.6× 87 0.5× 286 1.8× 51 2.4k

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-authorship network of co-authors of Serge Léger

This figure shows the co-authorship network connecting the top 25 collaborators of Serge Léger. A scholar is included among the top collaborators of Serge Léger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Serge Léger. Serge Léger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Léger, Serge, et al.. (2019). Pairwise visual comparison of small RNA secondary structures with base pair probabilities. BMC Bioinformatics. 20(1). 293–293. 3 indexed citations
3.
Durand, Guillaume, Cyril Goutte, & Serge Léger. (2018). Standard error considerations on AFM parameters.. Educational Data Mining. 1 indexed citations
4.
Léger, Serge, et al.. (2016). OC-0262: Comparison of machine-learning methods for predictive radiomic models in locally advanced HNSCC. Radiotherapy and Oncology. 119. S121–S122. 1 indexed citations
5.
Goutte, Cyril & Serge Léger. (2016). Advances in Ngram-based Discrimination of Similar Languages.. International Conference on Computational Linguistics. 178–184. 4 indexed citations
6.
Goutte, Cyril, Serge Léger, & Guillaume Durand. (2015). A Probabilistic Model for Knowledge Component Naming.. NPARC. 608–609.
7.
Tulpan, Dan, Serge Léger, Alain Tchagang, & Youlian Pan. (2015). Enrichment of Triticum aestivum gene annotations using ortholog cliques and gene ontologies in other plants. BMC Genomics. 16(1). 299–299. 10 indexed citations
8.
Goutte, Cyril, Serge Léger, & Marine Carpuat. (2013). Feature Space Selection and Combination for Native Language Identification. NPARC. 96–100. 10 indexed citations
9.
Ramtohul, Yeeman K., David Powell, Jean‐Philippe Leclerc, et al.. (2011). Bicyclic heteroaryl inhibitors of stearoyl-CoA desaturase: From systemic to liver-targeting inhibitors. Bioorganic & Medicinal Chemistry Letters. 21(19). 5692–5696. 16 indexed citations
10.
Tulpan, Dan, Mirela Andronescu, & Serge Léger. (2010). Free energy estimation of short DNA duplex hybridizations. BMC Bioinformatics. 11(1). 105–105. 17 indexed citations
11.
Weeren, P. René van, G. Perona, Géraldine Fleurance, et al.. (2008). Early changes in biomarkers of skeletal metabolism and their association to the occurrence of osteochondrosis (OC) in the horse. Equine Veterinary Journal. 40(3). 253–259. 27 indexed citations
12.
Li, Chun Sing, Denis Deschênes, Sylvie Desmarais, et al.. (2006). Identification of a potent and selective non-basic cathepsin K inhibitor. Bioorganic & Medicinal Chemistry Letters. 16(7). 1985–1989. 67 indexed citations
13.
Black, W. Cameron, Christine Brideau, Chi-Chung Chan, et al.. (2003). 3,4-Diaryl-5-hydroxyfuranones: highly selective inhibitors of cyclooxygenase-2 with aqueous solubility. Bioorganic & Medicinal Chemistry Letters. 13(6). 1195–1198. 29 indexed citations
14.
Frenette, Richard, John H. Hutchinson, Serge Léger, et al.. (1999). Substituted indoles as potent and orally active 5-lipoxygenase activating protein (FLAP) inhibitors. Bioorganic & Medicinal Chemistry Letters. 9(16). 2391–2396. 11 indexed citations
15.
LEBLANC, Y., Patrick Roy, S. Boyce, et al.. (1999). SAR in the alkoxy lactone series: the discovery of DFP, a potent and orally active COX-2 inhibitor. Bioorganic & Medicinal Chemistry Letters. 9(15). 2207–2212. 38 indexed citations
16.
Abdullah, Khalid, Serge Léger, H. Perrier, et al.. (1995). Purification of Baculovirus-Overexpressed Cytosolic Phospholipase A2 Using a Single-Step Affinity Column Chromatography. Protein Expression and Purification. 6(3). 291–297. 1 indexed citations
17.
Young, Robert N., John W. Gillard, John H. Hutchinson, Serge Léger, & Peppi Prasit. (1993). Discovery of inhibitors of the 5-lipoxygenase activating protein (flap).. PubMed. 6(1-3). 233–8. 7 indexed citations
18.
Mancini, Joseph A., Petpiboon Prasit, Marc G. Coppolino, et al.. (1992). 5-Lipoxygenase-activating protein is the target of a novel hybrid of two classes of leukotriene biosynthesis inhibitors.. Molecular Pharmacology. 41(2). 267–272. 31 indexed citations
20.
Jones, Thomas R., Robert Zamboni, Michel Belley, et al.. (1989). Pharmacology of L-660,711 (MK-571): a novel potent and selective leukotriene D4 receptor antagonist. Canadian Journal of Physiology and Pharmacology. 67(1). 17–28. 232 indexed citations

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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