Éva Csajbók
Impact in
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
-
- Pituitary Gland Disorders and Treatments 4
- Co-authors
- Gábor TamásNóra FaragóLászló G. PuskásÁgnes K. KocsisSándor LovasGábor MolnárMárton RózsaJános Gardi
- Journals
- eLife (4 papers)Diabetologia (2 papers)Journal of Neuroscience (1 paper)Transplant International (1 paper)International journal of cardiac imaging (1 paper)
- Partner nations
- HungaryIsraelNetherlands
In The Last Decade
Éva Csajbók
23 papers receiving 287 citations
Peers
Comparison fields: 5 of 57
- Transplantation 31
- Endocrine and Autonomic Systems 58
- Neurology 31
- Endocrinology, Diabetes and Metabolism 58
- Physiology 75
Countries citing papers authored by Éva Csajbók
This map shows the geographic impact of Éva Csajbók'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 Éva Csajbók with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva Csajbók more than expected).
Fields of papers citing papers by Éva Csajbók
This network shows the impact of papers produced by Éva Csajbók. 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 Éva Csajbók. The network helps show where Éva Csajbók may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Éva Csajbók, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2021 | 2 | |
| 7 | 2019 | 13 | |
| 8 | 2017 | 19 | |
| 9 | 2016 | 53 | |
| 10 | 2015 | 20 | |
| 11 | 2014 | 104 | |
| 12 | 2012 | 6 | |
| 13 | 2007 | 19 | |
| 14 | 2006 | 2 | |
| 15 | 2003 | 1 | |
| 16 | [Odontoidectomy in the treatment of medically refractory, neurogenic hypertension]. | 2003 | 1 |
| 17 | 1999 | 14 | |
| 18 | 1995 | 1 | |
| 19 | 1991 | 23 | |
| 20 | [Recurrence of focal sclerosing glomerulonephritis in the kidney graft]. | 1989 | 1 |
About Éva Csajbók
Éva Csajbók is a scholar working on Transplantation, Endocrinology, Diabetes and Metabolism, Nephrology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 25 papers that have together received 291 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neural dynamics and brain function (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Pancreatic function and diabetes (4 papers), Systemic Sclerosis and Related Diseases (3 papers), Cardiovascular Disease and Adiposity (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Neurosurgical Procedures and Complications (2 papers). The work is most often cited by research in Transplantation (31 citations), Endocrine and Autonomic Systems (58 citations), Neurology (31 citations), Endocrinology, Diabetes and Metabolism (58 citations) and Physiology (75 citations). Éva Csajbók has collaborated with scholars based in Hungary, Israel and Netherlands. Frequent co-authors include Gábor Tamás, Nóra Faragó, László G. Puskás, Ágnes K. Kocsis, Sándor Lovas, Gábor Molnár, Márton Rózsa, János Gardi, Rita Báldi and J Ormos. Their work appears in journals such as eLife, Diabetologia, Journal of Neuroscience, Transplant International and International journal of cardiac imaging.
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.