P. Vertongen

21 papers receiving 506 citations

Peers

P. Vertongen
Comparison fields: 5 of 47
  • Cellular and Molecular Neuroscience 239
  • Endocrinology, Diabetes and Metabolism 136
  • Reproductive Medicine 53
  • Endocrine and Autonomic Systems 32
  • Oncology 118
Replace Masateru Nishiki with:
Masateru Nishiki Japan
Chiara Caliumi Italy
Jean-Marie Gasc France
Edit Gláz Hungary
O Kida Japan
Kenji Obara Japan
Julia M. Polak United Kingdom
S Ciani Italy
Kazuyoshi Tadokoro Japan
Masayasu Hamaji Japan
P. Vertongen relative to Masateru Nishiki Japan Masateru Nishiki's profile →
Citations per field
00.5×9.1×
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 1994114
2 199798
3 199573
4 199645
5 199338
6 199431
7 200122
8 199420
9 200115
10 199714
11 20019
12 20038
13 19968
14 19947
15 20026
16 20026
17 20125
18 20024
19 20022
20 19921

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 527 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), Peptidase Inhibition and Analysis (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Pituitary Gland Disorders and Treatments (3 papers), Diabetes Treatment and Management (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 (136 citations), Reproductive Medicine (53 citations), Endocrine and Autonomic Systems (32 citations) and Oncology (118 citations). P. Vertongen has collaborated with scholars based in Belgium, France and Spain. Frequent co-authors include Patrick Robberecht, Michal Svoboda, M. Tastenoy, Magalì Waelbroeck, Jason Perret, Luc Jordaens, Jan Trouerbach, Philippe De Neef, Eric DeRycke and Yves Vandekerckhove. Their work appears in journals such as Biochemical Society Transactions, Neuropeptides, Endocrinology, Peptides and British Journal of Pharmacology.

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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