György Csákó

11.3k citations
178 papers · 8.6k indexed · h-index 56

György Csákó

172 papers receiving 8.2k citations

Peers

György Csákó
Comparison fields: 5 of 166
  • Endocrinology, Diabetes and Metabolism 2.2k
  • Surgery 1.8k
  • Epidemiology 1.7k
  • Molecular Biology 1.6k
  • Immunology 1.3k
Replace Clive Wasserfall with:
Clive Wasserfall United States
Jacqueline Capeau France
Kenji Maeda Japan
Bernhard O. Boehm Germany
Thomas M. Stulnig Austria
Zamir Halpern Israel
Athanasios G. Papavassiliou Greece
Holger Jon Møller Denmark
Christian J. Wiedermann Austria
Abdul‐Badi Abou‐Samra United States
György Csákó relative to Clive Wasserfall United States Clive Wasserfall's profile →
Citations per field
00.5×1.6×
Clive Wasserfall · 1×
Citations per year

Countries citing papers authored by György Csákó

Since Specialization
Citations

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

Fields of papers citing papers by György Csákó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of György Csákó

This figure shows the co-authorship network connecting the top 25 collaborators of György Csákó. A scholar is included among the top collaborators of György Csákó based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with György Csákó. György Csákó is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 16
3 29
4 86
5 19
6 120
7 151
8 73
9 50
10 88
11 39
12 152
13 17
14 18
15 60
16 135
17 4
18 3
19
Structure and chemical composition of. gamma. -irradiated bacterial lipopolysaccharide (LPS)
1
20
Effect of endotoxin and trypsin on the blood pressor response to catecholamines in normo- and hypothermic rabbits.
1

About György Csákó

György Csákó is a scholar working on Endocrinology, Diabetes and Metabolism, Hematology and Immunology, having authored 178 papers that have together received 8.6k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (18 papers), Immune Response and Inflammation (12 papers) and Lipoproteins and Cardiovascular Health (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.2k citations), Hepatology (579 citations) and Biological Psychiatry (157 citations). György Csákó has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Frank Pucino, Myron A. Waclawiw, Richard O. Cannon, Robert Wesley, Giovanni Cizza, Stephen E. Epstein, Rohit Loomba, Arshed A. Quyyumi, Kwang Kon Koh and Jianhui Zhu. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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