Valér Csernus

87 papers receiving 2.6k citations

Peers

Valér Csernus
Comparison fields: 5 of 116
  • Endocrine and Autonomic Systems 655
  • Behavioral Neuroscience 245
  • Reproductive Medicine 355
  • Endocrinology, Diabetes and Metabolism 577
  • Cellular and Molecular Neuroscience 572
Replace Adriana Seilicovich with:
Adriana Seilicovich Argentina
Bianca Marchetti Italy
Haruo Nogami Japan
Á. Párducz Hungary
Y. Peng Loh United States
Nicole Gallo‐Payet Canada
Paul C. Goldsmith United States
Jean‐Claude Beauvillain France
Maria C. Morale Italy
Setsuji Hisano Japan
Valér Csernus relative to Adriana Seilicovich Argentina Adriana Seilicovich's profile →
Citations per field
00.5×1.5×2.1×
Adriana Seilicovich · 1×
Citations per year

Countries citing papers authored by Valér Csernus

Since Specialization
Citations

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

Fields of papers citing papers by Valér Csernus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006174
2 2001144
3 1998121
4 1988116
5 1997113
6 200498
7 198897
8 200296
9 199994
10 199087
11 199987
12 198873
13 199973
14 199261
15 198959
16 198958
17 200556
18 201249
19 199848
20 198946

About Valér Csernus

Valér Csernus is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Molecular Biology and Social Psychology, having authored 90 papers that have together received 2.6k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (33 papers), Neuroendocrine regulation and behavior (19 papers), Neuropeptides and Animal Physiology (17 papers), Stress Responses and Cortisol (14 papers), Hypothalamic control of reproductive hormones (11 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Sperm and Testicular Function (9 papers) and Light effects on plants (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (655 citations), Behavioral Neuroscience (245 citations), Reproductive Medicine (355 citations), Endocrinology, Diabetes and Metabolism (577 citations) and Cellular and Molecular Neuroscience (572 citations). Valér Csernus has collaborated with scholars based in Hungary, United States and Japan. Frequent co-authors include Andrew V. Schally, Ida Gerendai, Kate Groot, S. Bajusz, Balázs Gaszner, B Mess, András D. Nagy, Elmar Peschke, L. Bokser and Tamás Janáky. Their work appears in journals such as Proceedings of the National Academy of Sciences, General and Comparative Endocrinology, Annals of the New York Academy of Sciences, Andrologia 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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