Károly Cseh

53 papers receiving 1.2k citations

Peers

Károly Cseh
Comparison fields: 5 of 91
  • Obstetrics and Gynecology 213
  • Endocrine and Autonomic Systems 141
  • Physiology 283
  • Epidemiology 331
  • Pathology and Forensic Medicine 127
Replace Martin Borkenstein with:
Martin Borkenstein Austria
Ilias Katsikis Greece
Gesthimani Mintziori Greece
Özgür Pirgon Türkiye
Laurent Biertho Canada
Anargyros Kourtis Greece
S. Rasmussen Denmark
Maria Boutsikou Greece
J Alaghband-Zadeh United Kingdom
M C Evans New Zealand
Károly Cseh relative to Martin Borkenstein Austria Martin Borkenstein's profile →
Citations per field
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Martin Borkenstein · 1×
Citations per year

Countries citing papers authored by Károly Cseh

Since Specialization
Citations

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

Fields of papers citing papers by Károly Cseh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003179
2 2002120
3 2001112
4 199993
5 200689
6 200271
7 200570
8 199850
9 200242
10 201137
11 200133
12 201830
13 200022
14
Influence of leptin and the TNF system on insulin resistance in pregnancy and their effect on anthropometric parameters of newborns.
200322
15 201620
16 200119
17 200218
18 200317
19 200217
20 200617

About Károly Cseh

Károly Cseh is a scholar working on Epidemiology, Physiology, Molecular Biology, Endocrine and Autonomic Systems and Obstetrics and Gynecology, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Regulation of Appetite and Obesity (8 papers), Adipose Tissue and Metabolism (6 papers), Asthma and respiratory diseases (4 papers), Gestational Diabetes Research and Management (4 papers), Cell Adhesion Molecules Research (4 papers), Pregnancy and preeclampsia studies (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Obstetrics and Gynecology (213 citations), Endocrine and Autonomic Systems (141 citations), Physiology (283 citations), Epidemiology (331 citations) and Pathology and Forensic Medicine (127 citations). Károly Cseh has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Gábor Winkler, Gábor Speer, Margit Kovács, István Karádi, P. Vargha, Ferenc Salamon, É Baranyi, Zsolt Melczer, Éva Palik and O. Dworák. Their work appears in journals such as Diabetes Research and Clinical Practice, European Journal of Endocrinology, Acta Obstetricia Et Gynecologica Scandinavica, European Archives of Oto-Rhino-Laryngology and European Journal of Obstetrics & Gynecology and Reproductive Biology.

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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