Geneviève Dubuc
- Surgery top 5%
- Molecular Biology
- Cancer Research top 10%
- Computational Theory and Mathematics top 5%
- Immunology
- Co-authors
- Jean DavignonNabil G. SeidahLise BernierAnn ChamberlandHanny WassefAnnik PratMichel J. TremblayAlexis Baass
- Topics
- Lipoproteins and Cardiovascular Health (9 papers)Hepatitis C virus research (4 papers)Pharmaceutical Economics and Policy (3 papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular BiologyJournal of HepatologyJournal of Lipid Research
- Partner nations
- CanadaUnited KingdomFrance
In The Last Decade
Geneviève Dubuc
12 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Surgery 990
- Molecular Biology 253
- Cancer Research 200
- Computational Theory and Mathematics 165
- Immunology 160
Countries citing papers authored by Geneviève Dubuc
This map shows the geographic impact of Geneviève Dubuc'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 Geneviève Dubuc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geneviève Dubuc more than expected).
Fields of papers citing papers by Geneviève Dubuc
This network shows the impact of papers produced by Geneviève Dubuc. 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 Geneviève Dubuc. The network helps show where Geneviève Dubuc may publish in the future.
Co-authorship network of co-authors of Geneviève Dubuc
This figure shows the co-authorship network connecting the top 25 collaborators of Geneviève Dubuc. A scholar is included among the top collaborators of Geneviève Dubuc 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 Geneviève Dubuc. Geneviève Dubuc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 33 | |
| 3 | 5 | |
| 4 | 61 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 190 | |
| 8 | Statins and ezetimibe modulate plasma proprotein convertase subtilisin kexin-9 (PCSK9) levels. | 60 |
| 9 | 176 | |
| 10 | 38 | |
| 11 | 6 | |
| 12 | Statins Upregulate PCSK9 , the Gene Encoding the Proprotein Convertase Neural Apoptosis-Regulated Convertase-1 Implicated in Familial Hypercholesterolemiabreakdown → | 518 |
| 13 | 13 |
About Geneviève Dubuc
Geneviève Dubuc is a scholar working on Hepatology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Hepatitis C virus research (4 papers) and Pharmaceutical Economics and Policy (3 papers). The work is most often cited by research in Surgery (990 citations), Cancer Research (200 citations) and Computational Theory and Mathematics (165 citations). Geneviève Dubuc has collaborated with scholars based in Canada, United Kingdom and France. Frequent co-authors include Jean Davignon, Nabil G. Seidah, Lise Bernier, Ann Chamberland, Hanny Wassef, Annik Prat, Michel J. Tremblay, Alexis Baass, Émile Lévy and Marie Lambert. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Hepatology and Journal of Lipid 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.