Pascale Perret

42 papers receiving 3.1k citations

Pascale Perret's Hit Papers

Uncoupling Protein-2 Negatively Regulates Insulin Secretion and Is a Major Link between Obesity, β Cell Dysfunction, and Type 2 Diabetes 2001 · 809 citations
8090+8+16Years since publication250500750

Peers

Pascale Perret
Comparison fields: 5 of 116
  • Physiology 1.3k
  • Geriatrics and Gerontology 102
  • Endocrine and Autonomic Systems 159
  • Molecular Biology 1.6k
  • Endocrinology, Diabetes and Metabolism 332
Replace Jean‐Sébastien Annicotte with:
Jean‐Sébastien Annicotte France
Ken I. Mitchelhill Australia
Jamie W. Joseph Canada
Zhenxiang Liu China
Sarah Crunkhorn United States
Richard B. Heath United Kingdom
Pei-Hsuan Wu United States
Qingwei Chu United States
Dongqi Tang China
Audrey Carrière France
Pascale Perret relative to Jean‐Sébastien Annicotte France Jean‐Sébastien Annicotte's profile →
Citations per field
00.5×1.7×
Jean‐Sébastien Annicotte · 1×
Citations per year

Countries citing papers authored by Pascale Perret

Since Specialization
Citations

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

Fields of papers citing papers by Pascale Perret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Uncoupling Protein-2 Negatively Regulates Insulin Secretion and Is a Major Link between Obesity, β Cell Dysfunction, and Type 2 Diabetes
Hit paper breakdown →
2001809
2 2001608
3 2001471
4 2001248
5 2002199
6 2001164
7 2008146
8 200870
9 200162
10 202154
11 201442
12 201334
13 200727
14 201421
15 201721
16 202320
17 202119
18 200818
19 201818
20 200116

About Pascale Perret

Pascale Perret is a scholar working on Physiology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Surgery and Cancer Research, having authored 46 papers that have together received 3.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (11 papers), Adipose Tissue and Metabolism (7 papers), Pancreatic function and diabetes (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers), RNA Interference and Gene Delivery (3 papers), Diet and metabolism studies (2 papers), Mitochondrial Function and Pathology (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Physiology (1.3k citations), Geriatrics and Gerontology (102 citations), Endocrine and Autonomic Systems (159 citations), Molecular Biology (1.6k citations) and Endocrinology, Diabetes and Metabolism (332 citations). Pascale Perret has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Gerald I. Shulman, Irene K. Moore, Raynald Bergeron, Lawrence H. Young, Jonathan J. Fillmore, Jason K. Kim, Odile D. Peroni, Gary W. Cline, Yan Chen and Jongsoon Lee. Their work appears in journals such as Journal of Nuclear Medicine, Journal of Clinical Investigation, European Journal of Nuclear Medicine and Molecular Imaging, Diabetes and American Journal of Physiology-Endocrinology and Metabolism.

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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