G. Csaba

258 papers receiving 2.8k citations

Peers

G. Csaba
Comparison fields: 5 of 116
  • Behavioral Neuroscience 205
  • Endocrine and Autonomic Systems 354
  • Genetics 731
  • Aging 35
  • Pediatrics, Perinatology and Child Health 339
Replace Artur Mayerhofer with:
Artur Mayerhofer Germany
Alejandro Lomniczi United States
Gregor Majdič Slovenia
Ricardo S. Calandra Argentina
Paul C. Goldsmith United States
Kazutoshi Yamamoto Japan
Nelson D. Horseman United States
Zvi Naor Israel
W. Les Dees United States
Pulak R. Manna United States
G. Csaba relative to Artur Mayerhofer Germany Artur Mayerhofer's profile →
Citations per field
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Artur Mayerhofer · 1×
Citations per year

Countries citing papers authored by G. Csaba

Since Specialization
Citations

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

Fields of papers citing papers by G. Csaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 264 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200099
2
Ontogeny and phylogeny of hormone receptors.
198179
3 198473
4 200763
5 199961
6 201150
7 198450
8 200850
9
Hormonal imprinting by steroids: a single neonatal treatment with diethylstilbestrol or allylestrenol gives rise to a lasting decrease in the number of rat uterine receptors.
198649
10 201248
11 198548
12 201446
13 201644
14
Fetal and neonatal action of a polycyclic hydrocarbon (benzpyrene) or a synthetic steroid hormone (allylestrenol) as reflected by the sexual behaviour of adult rats.
199343
15 199643
16 199140
17 200840
18
Introduction of the family Alloherpesviridae: The first molecular detection of herpesviruses of cyprinid fish in Hungary
201137
19 200936
20 198235

About G. Csaba

G. Csaba is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Genetics, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems, having authored 264 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (32 papers), Genetic Syndromes and Imprinting (31 papers), Stress Responses and Cortisol (26 papers), Birth, Development, and Health (26 papers), Hormonal and reproductive studies (18 papers), Pancreatic function and diabetes (16 papers), Neuroscience of respiration and sleep (14 papers) and Epigenetics and DNA Methylation (14 papers). The work is most often cited by research in Behavioral Neuroscience (205 citations), Endocrine and Autonomic Systems (354 citations), Genetics (731 citations), Aging (35 citations) and Pediatrics, Perinatology and Child Health (339 citations). G. Csaba has collaborated with scholars based in Hungary, Germany and Zambia. Frequent co-authors include Peter Louis Kovacs, Éva Pállinger, Otto Dobozy, Kornélia Tekes, László Kőhidai, Péter Kovács, Péter Baráth, Éva Pállinger, László Békési and Shahin Ma. Their work appears in journals such as Hormone and Metabolic Research, Cell Biology International, Life Sciences, Cell Biochemistry and Function and Human & Experimental Toxicology.

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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