György Csákó
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 1%
- Epidemiology top 1%
- Molecular Biology top 5%
- Immunology top 2%
- Co-authors
- Frank PucinoMyron A. WaclawiwRichard O. CannonRobert WesleyGiovanni CizzaStephen E. EpsteinRohit LoombaArshed A. Quyyumi
- Topics
- Thyroid Disorders and Treatments (18 papers)Immune Response and Inflammation (12 papers)Lipoproteins and Cardiovascular Health (12 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Biological Chemistry
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
György Csákó
172 papers receiving 8.2k citations
Peers
Comparison fields: 5 of 166
- Endocrinology, Diabetes and Metabolism 2.2k
- Surgery 1.8k
- Epidemiology 1.7k
- Molecular Biology 1.6k
- Immunology 1.3k
Countries citing papers authored by György Csákó
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
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
| # | Work | Indexed 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.