Péter Ács
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Neurology 11
- Parkinson's Disease Mechanisms and Treatments 7
- Neurological disorders and treatments 4
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- Synthetic Organic Chemistry Methods 5
- Catalytic C–H Functionalization Methods 4
- Catalytic Cross-Coupling Reactions 4
- Co-authors
- Sámuel Komoly (16 shared papers)László Kollár (13 shared papers)Zsuzsanna Aschermann (8 shared papers)József Janszky (9 shared papers)Gabriella Deli (6 shared papers)Norbert Kovács (8 shared papers)Kázmér Karádi (4 shared papers)Zoltán Berente (5 shared papers)
In The Last Decade
Péter Ács
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Developmental Neuroscience 154
- Neurology 202
- Neurology 315
- Sensory Systems 81
- Hematology 106
Countries citing papers authored by Péter Ács
This map shows the geographic impact of Péter Ács'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 Péter Ács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Ács more than expected).
Fields of papers citing papers by Péter Ács
This network shows the impact of papers produced by Péter Ács. 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 Péter Ács. The network helps show where Péter Ács may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter Ács, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 212 | |
| 2 | 2008 | 167 | |
| 3 | 2013 | 125 | |
| 4 | 2016 | 49 | |
| 5 | 2018 | 44 | |
| 6 | 2018 | 40 | |
| 7 | Selective ultrastructural vulnerability in the cuprizone-induced experimental demyelination. | 2012 | 39 |
| 8 | 2012 | 35 | |
| 9 | 2015 | 32 | |
| 10 | 2018 | 32 | |
| 11 | 2006 | 30 | |
| 12 | 2015 | 28 | |
| 13 | 2007 | 27 | |
| 14 | 2001 | 26 | |
| 15 | 2006 | 25 | |
| 16 | 2014 | 24 | |
| 17 | 2014 | 23 | |
| 18 | 2015 | 22 | |
| 19 | 2007 | 17 | |
| 20 | 2005 | 17 |
About Péter Ács
Péter Ács is a scholar working on Neurology, Organic Chemistry, Molecular Biology, Pathology and Forensic Medicine and Neurology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Multiple Sclerosis Research Studies (6 papers), Synthetic Organic Chemistry Methods (5 papers), Restless Legs Syndrome Research (4 papers), Neurological disorders and treatments (4 papers), Catalytic C–H Functionalization Methods (4 papers), Catalytic Cross-Coupling Reactions (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (154 citations), Neurology (202 citations), Neurology (315 citations), Sensory Systems (81 citations) and Hematology (106 citations). Péter Ács has collaborated with scholars based in Hungary, Austria and Denmark. Frequent co-authors include Sámuel Komoly, László Kollár, Zsuzsanna Aschermann, József Janszky, Gabriella Deli, Norbert Kovács, Kázmér Karádi, Zoltán Berente, Krisztina Horváth and Attila Takács. Their work appears in journals such as Steroids, Tetrahedron, PLoS ONE, Journal of Parkinson s Disease and Glia.
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.