Éva M. Szegő
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine 4
- Biological Psychiatry top 5%
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 18
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 18
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- Nerve injury and regeneration 9
- Neuroscience and Neuropharmacology Research 4
- Genetic Neurodegenerative Diseases 4
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- Estrogen and related hormone effects 6
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- Stress Responses and Cortisol 4
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- Alzheimer's disease research and treatments 4
- Co-authors
- Tiago F. OuteiroEllen GerhardtGábor JuhászIstván M. ÁbrahámPaul LingorMathias BährLars TatenhorstJan Christoph Koch
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Journal of Neuroscience (2 papers)
- Partner nations
- GermanyHungaryUnited Kingdom
In The Last Decade
Éva M. Szegő
36 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 99
- Geriatrics and Gerontology 179
- Biological Psychiatry 110
- Neurology 578
- Neurology 302
- Cellular and Molecular Neuroscience 512
Countries citing papers authored by Éva M. Szegő
This map shows the geographic impact of Éva M. Szegő'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 M. Szegő with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva M. Szegő more than expected).
Fields of papers citing papers by Éva M. Szegő
This network shows the impact of papers produced by Éva M. Szegő. 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 M. Szegő. The network helps show where Éva M. Szegő may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Éva M. Szegő, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 54 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 12 | |
| 8 | 2019 | 55 | |
| 9 | 2018 | 46 | |
| 10 | 2018 | 41 | |
| 11 | 2017 | 138 | |
| 12 | 2017 | 209 | |
| 13 | 2017 | 28 | |
| 14 | 2014 | 45 | |
| 15 | 2014 | 77 | |
| 16 | 2013 | 151 | |
| 17 | 2012 | 14 | |
| 18 | 2011 | 20 | |
| 19 | 2011 | 24 | |
| 20 | 2010 | 20 |
About Éva M. Szegő
Éva M. Szegő is a scholar working on Neurology, Behavioral Neuroscience and Geriatrics and Gerontology, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (18 papers), Nerve injury and regeneration (9 papers), Estrogen and related hormone effects (6 papers), Stress Responses and Cortisol (4 papers), Alzheimer's disease research and treatments (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Genetic Neurodegenerative Diseases (4 papers). The work is most often cited by research in Geriatrics and Gerontology (179 citations), Biological Psychiatry (110 citations) and Neurology (578 citations). Éva M. Szegő has collaborated with scholars based in Germany, Hungary and United Kingdom. Frequent co-authors include Tiago F. Outeiro, Ellen Gerhardt, Gábor Juhász, István M. Ábrahám, Paul Lingor, Mathias Bähr, Lars Tatenhorst, Jan Christoph Koch, Lars Tönges and Rita Machado de Oliveira. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.