Géza Fejes‐Tóth
Impact in
-
- Hormonal Regulation and Hypertension
- Behavioral Neuroscience top 5%
Papers in
-
- Hormonal Regulation and Hypertension 40
- Co-authors
- Anikó Náray‐Fejes‐TóthCecilia M. CanessaDavid PearceCharles O. WatlingtonDiego Álvarez de la RosaPing ZhangE. RusvaiJürgen C. Frölich
- Journals
- American Journal of Physiology-Renal Physiology (23 papers)Endocrinology (9 papers)Journal of Biological Chemistry (6 papers)The Journal of Physiology (4 papers)Kidney International (4 papers)
- Partner nations
- United StatesGermanyHungary
In The Last Decade
Géza Fejes‐Tóth
96 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 107
- Endocrinology, Diabetes and Metabolism 1.6k
- Behavioral Neuroscience 158
- Molecular Biology 2.7k
- Aging 51
- Pulmonary and Respiratory Medicine 889
Countries citing papers authored by Géza Fejes‐Tóth
This map shows the geographic impact of Géza Fejes‐Tóth'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 Géza Fejes‐Tóth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Géza Fejes‐Tóth more than expected).
Fields of papers citing papers by Géza Fejes‐Tóth
This network shows the impact of papers produced by Géza Fejes‐Tóth. 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 Géza Fejes‐Tóth. The network helps show where Géza Fejes‐Tóth may publish in the future.
Co-authors
The 25 scholars most cited alongside Géza Fejes‐Tóth, 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 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2021 | 18 | |
| 4 | 2019 | 148 | |
| 5 | 2008 | 24 | |
| 6 | 2008 | 113 | |
| 7 | 2007 | 58 | |
| 8 | 2007 | 13 | |
| 9 | 2006 | 22 | |
| 10 | 2004 | 100 | |
| 11 | 2003 | 44 | |
| 12 | 2000 | 38 | |
| 13 | 1999 | 8 | |
| 14 | 1999 | 385 | |
| 15 | 1998 | 34 | |
| 16 | 1996 | 69 | |
| 17 | 1993 | 14 | |
| 18 | 1993 | 43 | |
| 19 | 1988 | 17 | |
| 20 | Effect of isoproterenol on renal function. | 1982 | 2 |
About Géza Fejes‐Tóth
Géza Fejes‐Tóth is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Pulmonary and Respiratory Medicine, Molecular Biology and Biochemistry, having authored 97 papers that have together received 4.1k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (43 papers), Hormonal Regulation and Hypertension (40 papers), Electrolyte and hormonal disorders (32 papers), Neuroendocrine regulation and behavior (13 papers), Estrogen and related hormone effects (8 papers), Pancreatic function and diabetes (8 papers), Ion channel regulation and function (7 papers) and Renal and related cancers (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Behavioral Neuroscience (158 citations), Molecular Biology (2.7k citations), Aging (51 citations) and Pulmonary and Respiratory Medicine (889 citations). Géza Fejes‐Tóth has collaborated with scholars based in United States, Germany and Hungary. Frequent co-authors include Anikó Náray‐Fejes‐Tóth, Cecilia M. Canessa, David Pearce, Charles O. Watlington, Diego Álvarez de la Rosa, Ping Zhang, E. Rusvai, Jürgen C. Frölich, Oscar A. Carretero and Peter M. Snyder. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Endocrinology, Journal of Biological Chemistry, The Journal of Physiology and Kidney International.
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.