Jason Perret

4.2k citations
86 papers · 3.3k · h-index 30

Impact in

Papers in

Jason Perret

82 papers receiving 3.2k citations

Peers

Jason Perret
Comparison fields: 5 of 120
  • Sensory Systems 296
  • Endocrinology, Diabetes and Metabolism 981
  • Cellular and Molecular Neuroscience 796
  • Reproductive Medicine 264
  • Endocrine and Autonomic Systems 181
Replace G Vassart with:
G Vassart Belgium
Anne Lefort Belgium
Andrew B. Leiter United States
S. Legon United Kingdom
Rejean L. Idzerda United States
Kou‐ichi Jishage Japan
Marvin Bayne United States
Alan S. Kopin United States
Fumi Tashiro Japan
Carmen Clapp Mexico
Jason Perret relative to G Vassart Belgium G Vassart's profile →
Citations per field
00.5×
G Vassart · 1×
Citations per year

Countries citing papers authored by Jason Perret

Since Specialization
Citations

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

Fields of papers citing papers by Jason Perret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989432
2 1989342
3 1992321
4 1990163
5 1990149
6 1991131
7 202093
8 201281
9 200578
10 200176
11 201669
12 200065
13 199165
14 199062
15 201852
16 202151
17 199150
18 201849
19 199047
20 202044

About Jason Perret

Jason Perret is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Surgery and Physiology, having authored 86 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (21 papers), Receptor Mechanisms and Signaling (17 papers), Ion Transport and Channel Regulation (14 papers), Pancreatic function and diabetes (10 papers), Thyroid Disorders and Treatments (9 papers), Chemical Synthesis and Analysis (8 papers), Peptidase Inhibition and Analysis (7 papers) and Salivary Gland Disorders and Functions (7 papers). The work is most often cited by research in Sensory Systems (296 citations), Endocrinology, Diabetes and Metabolism (981 citations), Cellular and Molecular Neuroscience (796 citations), Reproductive Medicine (264 citations) and Endocrine and Autonomic Systems (181 citations). Jason Perret has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Christine Delporte, Marc Parmentier, Catherine Gérard, Gilbert Vassart, Anne Lefort, Jacques E. Dumont, Frédérick Libert, Carine Maenhaut, Marian Ludgate and Patrick Robberecht. Their work appears in journals such as International Journal of Molecular Sciences, Biochemical Journal, Biochemical Society Transactions, Cellular Physiology and Biochemistry and Journal of Biological Chemistry.

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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