P. Vecsei

82 papers receiving 1.5k citations

P. Vecsei's Hit Papers

The renin-angiotensin-aldosterone system 1978 · 566 citations
5660+16+32Years since publication100200300400500

Peers

P. Vecsei
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 612
  • Behavioral Neuroscience 73
  • Cardiology and Cardiovascular Medicine 431
  • Nephrology 80
  • Reproductive Medicine 69
Replace William J. Reddy with:
William J. Reddy United States
Susumu Miyabo Japan
Roberto Franco-Saenz United States
Jacques Letarte Canada
Harold Brown United States
Pavo Hedner Sweden
Atsuo Tahara Japan
Gladys Perisutti United States
Keishi Abe Japan
Kazuoki Kondo Japan
P. Vecsei relative to William J. Reddy United States William J. Reddy's profile →
Citations per field
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Citations per year

Countries citing papers authored by P. Vecsei

Since Specialization
Citations

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

Fields of papers citing papers by P. Vecsei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The renin-angiotensin-aldosterone system
Hit paper breakdown →
1978566
2 199282
3 197852
4 198451
5 198047
6 197246
7 197246
8 197842
9 198333
10 198932
11 197826
12 199225
13 197824
14 199023
15 199122
16 196921
17
Primary glucocorticoid receptor defect with likely familial involvement.
198921
18 199919
19 197717
20 196816

About P. Vecsei

P. Vecsei is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Reproductive Medicine, Clinical Biochemistry and Molecular Biology, having authored 87 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (44 papers), Adrenal Hormones and Disorders (25 papers), Sexual Differentiation and Disorders (8 papers), Stress Responses and Cortisol (7 papers), Ovarian function and disorders (5 papers), Estrogen and related hormone effects (4 papers), Neuropeptides and Animal Physiology (3 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (612 citations), Behavioral Neuroscience (73 citations), Cardiology and Cardiovascular Medicine (431 citations), Nephrology (80 citations) and Reproductive Medicine (69 citations). P. Vecsei has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Detlev Ganten, E. Hackenthal, D. Haack, S. Abdelhamid, Botond Penke, Sabina Lewicka, KLAUS LICHTWALD, Christiane Maser‐Gluth, Leif Bæk and Hanns P. Wolff. Their work appears in journals such as European Journal of Endocrinology, Journal of Molecular Medicine, Cellular and Molecular Life Sciences, Endocrine Research and Clinical 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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