Camilla Vézina

1.3k citations
26 papers · 1.1k indexed · h-index 18
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers)Cancer, Lipids, and Metabolism (9 papers)Lipid metabolism and biosynthesis (9 papers)
Partner nations
CanadaVietnam

In The Last Decade

Camilla Vézina

26 papers receiving 1.0k citations

Peers

Camilla Vézina
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 559
  • Surgery 558
  • Molecular Biology 340
  • Cancer Research 245
  • Cardiology and Cardiovascular Medicine 232
Replace D A Hardman with:
D A Hardman United States
Barbara Pfleger United States
Gunilla Bengtsson Sweden
M J Bamberger United States
T M Forte United States
Roger L. Barnhart United States
R Ramakrishnan United States
Garry J. Hopkins Australia
Miek C. Jong Netherlands
Mary C. Ritter United States
Camilla Vézina relative to D A Hardman United States D A Hardman's profile →
Citations per field
00.5×2.8×
D A Hardman · 1×
Citations per year

Countries citing papers authored by Camilla Vézina

Since Specialization
Citations

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

Fields of papers citing papers by Camilla Vézina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camilla Vézina

This figure shows the co-authorship network connecting the top 25 collaborators of Camilla Vézina. A scholar is included among the top collaborators of Camilla Vézina 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 Camilla Vézina. Camilla Vézina 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
#WorkIndexed citations
1 2
2 23
3 85
4 41
5 194
6 9
7 44
8 60
9 4
10 14
11 22
12 23
13 56
14 17
15 14
16 62
17 6
18 7
19 56
20 7

About Camilla Vézina

Camilla Vézina is a scholar working on Microbiology, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Cancer, Lipids, and Metabolism (9 papers) and Lipid metabolism and biosynthesis (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (559 citations), Biochemistry (178 citations) and Cancer Research (245 citations). Camilla Vézina has collaborated with scholars based in Canada and Vietnam. Frequent co-authors include Yves L. Marcel, Philip W. Connelly, Robert A. Hegele, Graham F. Maguire, J.A. Little, P K Weech, Ba-Bie Teng, Allan D. Sniderman, Lijie Tu and David Jenkins. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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