Ágnes Simonyi
Impact in
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
Papers in
- Neurology 43
- Neuroinflammation and Neurodegeneration Mechanisms 33
- Neurological Disease Mechanisms and Treatments 14
-
- Neuroscience and Neuropharmacology Research 32
- Co-authors
- Grace Y. SunAlbert Y. SunMichael Dam JensenZezong GuGeorge E. RottinghausQun WangJianfeng XuTodd R. Schachtman
- Journals
- Behavioural Brain Research (7 papers)Molecular Neurobiology (7 papers)Alcoholism Clinical and Experimental Research (5 papers)Journal of Neurochemistry (5 papers)Brain Research (5 papers)
- Partner nations
- United StatesHungaryItaly
In The Last Decade
Ágnes Simonyi
96 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 130
- Neurology 1.5k
- Geriatrics and Gerontology 645
- Biological Psychiatry 300
- Cellular and Molecular Neuroscience 1.5k
- Biochemistry 437
Countries citing papers authored by Ágnes Simonyi
This map shows the geographic impact of Ágnes Simonyi'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 Simonyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ágnes Simonyi more than expected).
Fields of papers citing papers by Ágnes Simonyi
This network shows the impact of papers produced by Ágnes Simonyi. 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 Simonyi. The network helps show where Ágnes Simonyi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ágnes Simonyi, 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 | 2016 | 17 | |
| 2 | 2016 | 38 | |
| 3 | 2015 | 40 | |
| 4 | 2014 | 24 | |
| 5 | 2014 | 68 | |
| 6 | 2013 | 96 | |
| 7 | 2013 | 7 | |
| 8 | 2011 | 63 | |
| 9 | 2011 | 35 | |
| 10 | 2011 | 52 | |
| 11 | 2010 | 42 | |
| 12 | 2009 | 37 | |
| 13 | 2009 | 26 | |
| 14 | 2008 | 187 | |
| 15 | 2007 | 60 | |
| 16 | 2005 | 48 | |
| 17 | 2004 | 102 | |
| 18 | 2003 | 98 | |
| 19 | 2002 | 255 | |
| 20 | 1988 | 5 |
About Ágnes Simonyi
Ágnes Simonyi is a scholar working on Neurology, Cellular and Molecular Neuroscience, Biochemistry, Geriatrics and Gerontology and Biological Psychiatry, having authored 96 papers that have together received 6.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (33 papers), Neuroscience and Neuropharmacology Research (32 papers), Neurological Disease Mechanisms and Treatments (14 papers), Alzheimer's disease research and treatments (13 papers), Memory and Neural Mechanisms (12 papers), Sirtuins and Resveratrol in Medicine (7 papers), Biochemical Analysis and Sensing Techniques (7 papers) and Phytochemicals and Antioxidant Activities (6 papers). The work is most often cited by research in Neurology (1.5k citations), Geriatrics and Gerontology (645 citations), Biological Psychiatry (300 citations), Cellular and Molecular Neuroscience (1.5k citations) and Biochemistry (437 citations). Ágnes Simonyi has collaborated with scholars based in United States, Hungary and Italy. Frequent co-authors include Grace Y. Sun, Albert Y. Sun, Michael Dam Jensen, Zezong Gu, George E. Rottinghaus, Qun Wang, Jianfeng Xu, Todd R. Schachtman, Phullara B. Shelat and Gary A. Weisman. Their work appears in journals such as Behavioural Brain Research, Molecular Neurobiology, Alcoholism Clinical and Experimental Research, Journal of Neurochemistry and Brain Research.
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.