Pascal Belleau

659 citations
22 papers · 410 · h-index 13

Impact in

Papers in

    • Genomics and Chromatin Dynamics 4
    • RNA Research and Splicing 3
    • DNA Repair Mechanisms 2
    • Gene expression and cancer classification 2
    • BRCA gene mutations in cancer 3
    • Genomic variations and chromosomal abnormalities 2
    • Estrogen and related hormone effects 2

Pascal Belleau

22 papers receiving 399 citations

Peers

Pascal Belleau
Comparison fields: 5 of 79
  • Biological Psychiatry 12
  • Physiology 22
  • Genetics 121
  • Cancer Research 58
  • Endocrinology, Diabetes and Metabolism 59
Replace Chupong Ittiwut with:
Chupong Ittiwut Thailand
Ahmad Pazirandeh Sweden
Ratna Biswas India
Laure Maneix United States
W Savino France
Nagesha Rao Netherlands
Peggy Verdood Belgium
Kang Z. Liu United States
Fulu Gao Japan
Shixin Tao United States
Pascal Belleau relative to Chupong Ittiwut Thailand Chupong Ittiwut's profile →
Citations per field
00.5×4.4×
Chupong Ittiwut · 1×
Citations per year

Countries citing papers authored by Pascal Belleau

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Belleau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201443
2 200441
3 200541
4 200533
5 201129
6 200726
7 201226
8 200720
9 200717
10 200517
11 202415
12 201314
13 200712
14 200411
15 200810
16 201210
17 201810
18 20188
19 20168
20 20227

About Pascal Belleau

Pascal Belleau is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Cell Biology and Immunology, having authored 22 papers that have together received 410 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), BRCA gene mutations in cancer (3 papers), RNA Research and Splicing (3 papers), DNA Repair Mechanisms (2 papers), Gene expression and cancer classification (2 papers), Reproductive System and Pregnancy (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Biological Psychiatry (12 citations), Physiology (22 citations), Genetics (121 citations), Cancer Research (58 citations) and Endocrinology, Diabetes and Metabolism (59 citations). Pascal Belleau has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Fernand Labrie, Mario Harvey, Claude Labrie, Nicholas Barden, Céline Martel, Ézéquiel Calvo, Vincent Raymond, Yvan Labrie, Jean Morissette and Mayumi Yoshioka. Their work appears in journals such as Trends in Genetics, PLoS Computational Biology, Journal of Molecular Endocrinology, Oncology and Cancer 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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