Diane Brisson

111 papers receiving 4.3k citations

Diane Brisson's Hit Papers

Antisense Inhibition of Apolipoprotein C-III in Patients with Hypertriglyceridemia 2015 · 410 citations
4100+4+8Years since publication100200300400

Peers

Diane Brisson
Comparison fields: 5 of 125
  • Obstetrics and Gynecology 621
  • Cardiology and Cardiovascular Medicine 993
  • Endocrinology, Diabetes and Metabolism 658
  • Pediatrics, Perinatology and Child Health 632
  • Genetics 668
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István Karádi Hungary
Sayuko Kobes United States
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Sandrine Barbaux France
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Citations per field
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Citations per year

Countries citing papers authored by Diane Brisson

Since Specialization
Citations

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

Fields of papers citing papers by Diane Brisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Antisense Inhibition of Apolipoprotein C-III in Patients with Hypertriglyceridemia
Hit paper breakdown →
2015410
2
Targeting APOC3 in the Familial Chylomicronemia Syndrome
Hit paper breakdown →
2014389
3 2012308
4 2013208
5 2010176
6 2011158
7 2012155
8 2012155
9 2001145
10 2012125
11 2012123
12 2013107
13 201297
14 201086
15 201682
16 201379
17 200675
18 201667
19 200765
20 200262

About Diane Brisson

Diane Brisson is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics, having authored 118 papers that have together received 4.4k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (38 papers), Lipoproteins and Cardiovascular Health (23 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Gestational Diabetes Research and Management (13 papers), Birth, Development, and Health (12 papers), Diabetes and associated disorders (8 papers), Epigenetics and DNA Methylation (8 papers) and Cancer, Lipids, and Metabolism (6 papers). The work is most often cited by research in Obstetrics and Gynecology (621 citations), Cardiology and Cardiovascular Medicine (993 citations), Endocrinology, Diabetes and Metabolism (658 citations), Pediatrics, Perinatology and Child Health (632 citations) and Genetics (668 citations). Diane Brisson has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Daniel Gaudet, Luigi Bouchard, Julie St‐Pierre, Patrice Perron, Karine Tremblay, Simon‐Pierre Guay, Marie‐France Hivert, Julie Méthot, Veronica Alexander and Mark J. Graham. Their work appears in journals such as Journal of clinical lipidology, Atherosclerosis, Atherosclerosis Supplements, Epigenomics and Epigenetics.

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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