Ágnes Fehér
Impact in
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
- Biological Psychiatry top 10%
Papers in
- Physiology 18
- Alzheimer's disease research and treatments 8
- Diet and metabolism studies 4
-
- Tryptophan and brain disorders 6
- Co-authors
- Zoltán Janka (17 shared papers)Anna Juhász (24 shared papers)Janos L. Kalman (16 shared papers)Magdolna Pákáski (15 shared papers)Mónika Fekete (14 shared papers)Vince Fazekas‐Pongor (10 shared papers)Andrea Lehoczki (9 shared papers)Zsófia Szarvas (6 shared papers)
- Journals
- Nutrients (4 papers)European Psychiatry (3 papers)Psychiatry Research (3 papers)GeroScience (2 papers)European Journal of Pharmacology (2 papers)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Ágnes Fehér
54 papers receiving 934 citations
Peers
Comparison fields: 5 of 100
- Hepatology 173
- Biological Psychiatry 33
- Physiology 175
- Infectious Diseases 128
- Neurology 55
Countries citing papers authored by Ágnes Fehér
This map shows the geographic impact of Ágnes Fehér'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 Ágnes Fehér with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ágnes Fehér more than expected).
Fields of papers citing papers by Ágnes Fehér
This network shows the impact of papers produced by Ágnes Fehér. 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 Ágnes Fehér. The network helps show where Ágnes Fehér may publish in the future.
Co-authors
The 25 scholars most cited alongside Ágnes Fehér, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 174 | |
| 2 | 2022 | 86 | |
| 3 | 2012 | 64 | |
| 4 | 2009 | 57 | |
| 5 | 2024 | 47 | |
| 6 | 2013 | 46 | |
| 7 | 2022 | 46 | |
| 8 | 2009 | 33 | |
| 9 | 2023 | 31 | |
| 10 | 2013 | 30 | |
| 11 | 2015 | 25 | |
| 12 | 2022 | 23 | |
| 13 | 2015 | 21 | |
| 14 | 2022 | 20 | |
| 15 | 2017 | 19 | |
| 16 | 2014 | 18 | |
| 17 | 2010 | 18 | |
| 18 | 2012 | 14 | |
| 19 | 2018 | 13 | |
| 20 | 2017 | 13 |
About Ágnes Fehér
Ágnes Fehér is a scholar working on Physiology, Biological Psychiatry, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology, having authored 60 papers that have together received 961 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Tryptophan and brain disorders (6 papers), Cholesterol and Lipid Metabolism (5 papers), Diet and metabolism studies (4 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Neuropeptides and Animal Physiology (4 papers) and Nuclear Receptors and Signaling (3 papers). The work is most often cited by research in Hepatology (173 citations), Biological Psychiatry (33 citations), Physiology (175 citations), Infectious Diseases (128 citations) and Neurology (55 citations). Ágnes Fehér has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Zoltán Janka, Anna Juhász, Janos L. Kalman, Magdolna Pákáski, Mónika Fekete, Vince Fazekas‐Pongor, Andrea Lehoczki, Zsófia Szarvas, Ágnes Rimanóczy and Anna László. Their work appears in journals such as Nutrients, European Psychiatry, Psychiatry Research, GeroScience and European Journal of Pharmacology.
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.