Zsolt Csaba

63 papers receiving 2.2k citations

Peers

Zsolt Csaba
Comparison fields: 5 of 109
  • Developmental Neuroscience 130
  • Endocrine and Autonomic Systems 197
  • Neurology 209
  • Cellular and Molecular Neuroscience 451
  • Biological Psychiatry 51
Replace Fred W. van Leeuwen with:
Fred W. van Leeuwen Netherlands
Thomas Stroh Canada
Sakina Mhaouty‐Kodja France
Manjula Mahata United States
Mario Vallejo Spain
Pedro Tranque Spain
M. Galbiati Italy
Geda Unabia United States
Hélène Boudin France
Jesús M. Grondona Spain
Zsolt Csaba relative to Fred W. van Leeuwen Netherlands Fred W. van Leeuwen's profile →
Citations per field
00.5×1.5×1.9×
Fred W. van Leeuwen · 1×
Citations per year

Countries citing papers authored by Zsolt Csaba

Since Specialization
Citations

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

Fields of papers citing papers by Zsolt Csaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013290
2 2001200
3 2018185
4 2014105
5 201387
6 201458
7 201457
8 201050
9 200048
10 200547
11 201647
12 201146
13 202145
14 200145
15 200542
16 200741
17 200241
18 199540
19 199836
20 200734

About Zsolt Csaba

Zsolt Csaba is a scholar working on Molecular Biology, Epidemiology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Neuroendocrine Tumor Research Advances (14 papers), Hypothalamic control of reproductive hormones (11 papers), Neonatal and fetal brain pathology (7 papers), Neuroendocrine regulation and behavior (6 papers), Cellular transport and secretion (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Developmental Neuroscience (130 citations), Endocrine and Autonomic Systems (197 citations), Neurology (209 citations), Cellular and Molecular Neuroscience (451 citations) and Biological Psychiatry (51 citations). Zsolt Csaba has collaborated with scholars based in France, Hungary and United Kingdom. Frequent co-authors include Pascal Dournaud, Pierre Gressèns, Jacques Epelbaum, Stéphane Peineau, Ida Gerendai, Assia Fafouri, Céline S. Nicolas, Mascia Amici, Andrew J. Doherty and Graham L. Collingridge. Their work appears in journals such as Journal of Neuroendocrinology, Journal of Neuropathology & Experimental Neurology, The Journal of Comparative Neurology, Endocrinology and European Journal of Neuroscience.

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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