G. Csaba

257 papers receiving 2.6k citations

Peers

G. Csaba
Comparison fields: 5 of 119
  • Behavioral Neuroscience 211
  • Endocrine and Autonomic Systems 351
  • Genetics 656
  • Aging 34
  • Reproductive Medicine 150
Replace Christian F. Deschepper with:
Christian F. Deschepper Canada
Nelson D. Horseman United States
Brendan J. Waddell Australia
Luis Valladares Chile
Paul C. Goldsmith United States
Gregor Majdič Slovenia
Nicolas Diotel France
Didier Vieau France
Y. N. Sinha United States
Ricardo S. Calandra Argentina
G. Csaba relative to Christian F. Deschepper Canada Christian F. Deschepper's profile →
Citations per field
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Christian F. Deschepper · 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 263 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200097
2
Ontogeny and phylogeny of hormone receptors.
198175
3 198470
4 200761
5 199960
6 201150
7 198448
8 198547
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.
198646
10 200843
11 201243
12 199643
13 201443
14 199139
15 201638
16
Fetal and neonatal action of a polycyclic hydrocarbon (benzpyrene) or a synthetic steroid hormone (allylestrenol) as reflected by the sexual behaviour of adult rats.
199338
17 200935
18 200833
19 199733
20
Introduction of the family Alloherpesviridae: The first molecular detection of herpesviruses of cyprinid fish in Hungary
201133

About G. Csaba

G. Csaba is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Social Psychology, having authored 263 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (34 papers), Genetic Syndromes and Imprinting (29 papers), Birth, Development, and Health (28 papers), Stress Responses and Cortisol (27 papers), Hormonal and reproductive studies (18 papers), Pancreatic function and diabetes (16 papers), Neuroscience of respiration and sleep (15 papers) and Epigenetics and DNA Methylation (14 papers). The work is most often cited by research in Behavioral Neuroscience (211 citations), Endocrine and Autonomic Systems (351 citations), Genetics (656 citations), Aging (34 citations) and Reproductive Medicine (150 citations). G. Csaba has collaborated with scholars based in Hungary, Germany and Zambia. Frequent co-authors include Péter Kovács, Éva Pállinger, O. Dobozy, Kornélia Tekes, Péter Kovács, Éva Pállinger, Péter Baráth, László Kőhidai, Shahin Ma and László Békési. 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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