Eric Leblanc

37 papers receiving 1.4k citations

Peers

Eric Leblanc
Comparison fields: 5 of 91
  • Pulmonary and Respiratory Medicine 668
  • Computational Theory and Mathematics 323
  • Endocrinology, Diabetes and Metabolism 292
  • Genetics 420
  • Cancer Research 161
Replace Eva Estébanez‐Perpiñá with:
Eva Estébanez‐Perpiñá Spain
Nada Lallous Canada
Tadas S. Vasaitis United States
Venkatesh Handratta United States
Lalji K. Gediya United States
Susan E. Kiefer United States
Michael L. Mohler United States
Takahito Hara Japan
Mark Salvati United States
Masuo Yamaoka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Eric Leblanc

Since Specialization
Citations

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

Fields of papers citing papers by Eric Leblanc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric Leblanc, 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 Eric Leblanc Line = papers co-authored together Eric Leblanc 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 2016155
2 2011129
3 2014108
4 2014104
5 201894
6 201784
7 201179
8 201378
9 201459
10 201450
11 202147
12 201845
13 201840
14 201935
15 201728
16 201328
17 201626
18 201324
19 202123
20 201522

About Eric Leblanc

Eric Leblanc is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Computational Theory and Mathematics, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (27 papers), Estrogen and related hormone effects (21 papers), Hormonal and reproductive studies (9 papers), Ubiquitin and proteasome pathways (8 papers), Computational Drug Discovery Methods (6 papers), Protein Degradation and Inhibitors (5 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (668 citations), Computational Theory and Mathematics (323 citations), Endocrinology, Diabetes and Metabolism (292 citations), Genetics (420 citations) and Cancer Research (161 citations). Eric Leblanc has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Artem Cherkasov, Paul S. Rennie, Fuqiang Ban, Kush Dalal, Kriti Singh, Nada Lallous, Kate Frewin, Nathan A. Lack, Huifang Li and Peter Axerio-Cilies. Their work appears in journals such as Journal of Medicinal Chemistry, Cancer Research, International Journal of Molecular Sciences, Journal of Chemical Information and Modeling and Journal of Biological Chemistry.

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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