P. Vertongen

21 papers receiving 508 citations

Peers

P. Vertongen
Comparison fields: 5 of 43
  • Cellular and Molecular Neuroscience 239
  • Endocrinology, Diabetes and Metabolism 126
  • Reproductive Medicine 53
  • Endocrine and Autonomic Systems 30
  • Cardiology and Cardiovascular Medicine 85
Replace Masateru Nishiki with:
Masateru Nishiki Japan
Yoshitaka Kitamura Japan
Sharon Milgram United States
Hiromi Niina Japan
Jean-Marie Gasc France
P Masturzo Italy
A. J. L. Clark United Kingdom
Edit Gláz Hungary
N. N’Diaye Canada
Chiara Caliumi Italy
P. Vertongen relative to Masateru Nishiki Japan Masateru Nishiki's profile →
Citations per field
00.5×4.0×
Masateru Nishiki · 1×
Citations per year

Countries citing papers authored by P. Vertongen

Since Specialization
Citations

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

Fields of papers citing papers by P. Vertongen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994116
2 199798
3 199573
4 199645
5 199338
6 199431
7 200122
8 199420
9 200115
10 199714
11 20019
12 19968
13 20038
14 19947
15 20026
16 20026
17 20125
18 20024
19 20022
20 20021

About P. Vertongen

P. Vertongen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology and Epidemiology, having authored 23 papers that have together received 529 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (18 papers), Receptor Mechanisms and Signaling (13 papers), Chemical Synthesis and Analysis (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Peptidase Inhibition and Analysis (4 papers), Diabetes Treatment and Management (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (239 citations), Endocrinology, Diabetes and Metabolism (126 citations), Reproductive Medicine (53 citations), Endocrine and Autonomic Systems (30 citations) and Cardiology and Cardiovascular Medicine (85 citations). P. Vertongen has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Patrick Robberecht, Michal Svoboda, M. Tastenoy, Magalì Waelbroeck, Jason Perret, René Tavernier, Eric DeRycke, Philippe De Neef, Yves Vandekerckhove and Luc Jordaens. Their work appears in journals such as Biochemical Society Transactions, Neuropeptides, British Journal of Pharmacology, Endocrinology and Peptides.

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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