Karine Belleville

851 total citations
23 papers, 697 citations indexed

About

Karine Belleville is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Karine Belleville has authored 23 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 12 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Karine Belleville's work include Pain Mechanisms and Treatments (9 papers), Neuropeptides and Animal Physiology (9 papers) and Receptor Mechanisms and Signaling (7 papers). Karine Belleville is often cited by papers focused on Pain Mechanisms and Treatments (9 papers), Neuropeptides and Animal Physiology (9 papers) and Receptor Mechanisms and Signaling (7 papers). Karine Belleville collaborates with scholars based in Canada, United States and France. Karine Belleville's co-authors include Philippe Sarret, Nicolas Beaudet, Jean‐Michel Longpré, Geneviève Roussy, Éric Marsault, Alexandre Murza, Christophe Noll, Farah Lizotte, Pedro Geraldes and Elliott Richelson and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Diabetes.

In The Last Decade

Karine Belleville

23 papers receiving 690 citations

Peers

Karine Belleville
Comparison fields: 5 of 81
  • Molecular Biology 300
  • Cellular and Molecular Neuroscience 275
  • Physiology 216
  • Surgery 124
  • Endocrinology, Diabetes and Metabolism 99
Replace Giuseppe Clementi with:
Giuseppe Clementi Italy
Bruce Wyse Australia
I. Angel France
M. Bensaïd France
Yasushi Sakai Japan
K. Miyasaka Japan
Massimo Parlani Italy
Alfhild Grönbladh Sweden
Takashi Nishinaka Japan
Nobuharu Yamaguchi Canada
Giuseppe Clementi Italy View profile →
Citations per field, relative to Karine Belleville
Karine Belleville · 1×
Citations per year, relative to Karine Belleville
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Countries citing papers authored by Karine Belleville

Since Specialization
Citations

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

Fields of papers citing papers by Karine Belleville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karine Belleville

This figure shows the co-authorship network connecting the top 25 collaborators of Karine Belleville. A scholar is included among the top collaborators of Karine Belleville 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 Karine Belleville. Karine Belleville 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
# Work Indexed citations
1 1
2 14
3 13
4 126
5 14
6 14
7 22
8 53
9 91
10 41
11 45
12 11
13 51
14 42
15 44
16 6
17
The hemodynamic and metabolic profiles of Zucker diabetic fatty rats treated with a single molecule triple vasopeptidase inhibitor, CGS 35601.
6
18 3
19 8
20 16

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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