S. Vígh

1.6k citations
33 papers · 1.3k indexed · h-index 17

Impact in

Papers in

S. Vígh

33 papers receiving 1.3k citations

Peers

S. Vígh
Comparison fields: 5 of 91
  • Behavioral Neuroscience 701
  • Endocrine and Autonomic Systems 234
  • Biological Psychiatry 85
  • Reproductive Medicine 272
  • Endocrinology, Diabetes and Metabolism 368
Replace L. Angelucci with:
L. Angelucci Italy
Richard R. Gala United States
Makoto Yokosuka Japan
Marc J. Tetel United States
Laura R. Hinds United States
P. Siaud France
Imre Farkas Hungary
Steven P. Kleopoulos United States
Ruth B.S. Harris United States
Marianne K. Steele United States
S. Vígh relative to L. Angelucci Italy L. Angelucci's profile →
Citations per field
00.5×3.5×
L. Angelucci · 1×
Citations per year

Countries citing papers authored by S. Vígh

Since Specialization
Citations

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

Fields of papers citing papers by S. Vígh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20234
3 20222
4 20221
5 20226
6 20178
7 200022
8 199280
9 199112
10 198569
11 198429
12 198441
13 1983113
14 198312
15
The luteinizing hormone releasing hormone-containing pathways and their co-termination with tanycyte processes in and around the median eminence and in the pituitary stalk of the rat.
198128
16 198115
17 197958
18
Immunhistological observations on the "hypophysiotrophic" area of the hypothalamus.
19763
19 197641
20 1975109

About S. Vígh

S. Vígh is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Reproductive Medicine and Virology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (9 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Neuroendocrine regulation and behavior (6 papers), Adrenal Hormones and Disorders (5 papers), Neuropeptides and Animal Physiology (5 papers), Hypothalamic control of reproductive hormones (4 papers), Heavy metals in environment (3 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Behavioral Neuroscience (701 citations), Endocrine and Autonomic Systems (234 citations), Biological Psychiatry (85 citations), Reproductive Medicine (272 citations) and Endocrinology, Diabetes and Metabolism (368 citations). S. Vígh has collaborated with scholars based in Hungary, United States and Romania. Frequent co-authors include Andrew V. Schally, István Merchenthaler, Peter Petrusz, Akira Arimura, B Flerkó, Jerome L. Maderdrut, György Sétáló, Mary Hynes, B Mess and Zsolt Liposits. Their work appears in journals such as Proceedings of the National Academy of Sciences, Endocrinology, Brain Research, Peptides and Regulatory 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026