Ágnes Fehér
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
-
- Alzheimer's disease research and treatments
Papers in
- Physiology 19
- Alzheimer's disease research and treatments 9
- Diet and metabolism studies 4
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- Pharmacological Receptor Mechanisms and Effects 4
- Co-authors
- Zoltán Janka (15 shared papers)Anna Juhász (22 shared papers)János Kálmán (14 shared papers)Magdolna Pákáski (13 shared papers)Mónika Fekete (12 shared papers)Andrea Lehoczki (8 shared papers)Vince Fazekas‐Pongor (9 shared papers)Ágnes Rimanóczy (10 shared papers)
- Journals
- Nutrients (3 papers)European Psychiatry (3 papers)European Journal of Pharmacology (2 papers)Psychiatric Genetics (2 papers)European Neuropsychopharmacology (2 papers)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Ágnes Fehér
48 papers receiving 644 citations
Peers
Comparison fields: 5 of 100
- Biological Psychiatry 38
- Physiology 182
- Neurology 55
- Developmental Neuroscience 25
- Cellular and Molecular Neuroscience 105
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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 62 | |
| 2 | 2022 | 60 | |
| 3 | 2009 | 55 | |
| 4 | 2022 | 41 | |
| 5 | 2013 | 40 | |
| 6 | 2024 | 37 | |
| 7 | 2009 | 30 | |
| 8 | 2013 | 26 | |
| 9 | 2023 | 22 | |
| 10 | 2022 | 20 | |
| 11 | 2015 | 20 | |
| 12 | 2015 | 19 | |
| 13 | 2017 | 18 | |
| 14 | 2014 | 18 | |
| 15 | 2010 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2012 | 14 | |
| 18 | 2018 | 12 | |
| 19 | 2017 | 12 | |
| 20 | 2014 | 10 |
About Ágnes Fehér
Ágnes Fehér is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Surgery and Cognitive Neuroscience, having authored 52 papers that have together received 658 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Tryptophan and brain disorders (5 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Diet and metabolism studies (4 papers), Nuclear Receptors and Signaling (4 papers), Cholesterol and Lipid Metabolism (4 papers), Neuropeptides and Animal Physiology (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Biological Psychiatry (38 citations), Physiology (182 citations), Neurology (55 citations), Developmental Neuroscience (25 citations) and Cellular and Molecular Neuroscience (105 citations). Ágnes Fehér has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Zoltán Janka, Anna Juhász, János Kálmán, Magdolna Pákáski, Mónika Fekete, Andrea Lehoczki, Vince Fazekas‐Pongor, Ágnes Rimanóczy, Anna László and Z Szarvas. Their work appears in journals such as Nutrients, European Psychiatry, European Journal of Pharmacology, Psychiatric Genetics and European Neuropsychopharmacology.
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.