Péter Ács

1.5k citations
45 papers · 1.3k · h-index 19

Impact in

Papers in

Péter Ács

43 papers receiving 1.2k citations

Peers

Péter Ács
Comparison fields: 5 of 83
  • Neurology 434
  • Pathology and Forensic Medicine 262
  • Sensory Systems 69
  • Process Chemistry and Technology 18
  • Neurology 76
Replace Xi‐Chun May Lu with:
Xi‐Chun May Lu United States
Val Robert Marcy United States
Endre Pál Hungary
Katsuhisa Ogata Japan
Carol Milligan United States
Talene A. Yacoubian United States
Candice E. Crocker Canada
Bruno A. Bergmans Belgium
Seema Tevar United States
Shanping Mao China
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Citations per field
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Xi‐Chun May Lu · 1×
Citations per year

Countries citing papers authored by Péter Ács

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Péter Ács Line = papers co-authored together Péter Ács links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015259
2 2008175
3 201654
4 201846
5 201845
6 201743
7
Selective ultrastructural vulnerability in the cuprizone-induced experimental demyelination.
201240
8 201237
9 201835
10 200634
11 201532
12 200731
13
[VALIDATION OF THE HUNGARIAN MDS-UPDRS: WHY DO WE NEED A NEW PARKINSON SCALE?].
201430
14 201530
15 200128
16 201428
17 201528
18 200626
19 201426
20 200719

About Péter Ács

Péter Ács is a scholar working on Neurology, Pathology and Forensic Medicine, Organic Chemistry, Sensory Systems and Neurology, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (13 papers), Catalytic Cross-Coupling Reactions (12 papers), Parkinson's Disease Mechanisms and Treatments (11 papers), Steroid Chemistry and Biochemistry (6 papers), Neurological disorders and treatments (6 papers), Sleep and related disorders (4 papers), Psychometric Methodologies and Testing (3 papers) and Ion Channels and Receptors (3 papers). The work is most often cited by research in Neurology (434 citations), Pathology and Forensic Medicine (262 citations), Sensory Systems (69 citations), Process Chemistry and Technology (18 citations) and Neurology (76 citations). Péter Ács has collaborated with scholars based in Hungary, Austria and Denmark. Frequent co-authors include Sámuel Komoly, László Kollár, Norbert Kovács, József Janszky, Zsuzsanna Aschermann, Gabriella Deli, Kázmér Karádi, Krisztina Horváth, Attila Takács and Zoltán Berente. Their work appears in journals such as Steroids, Tetrahedron, Parkinsonism & Related Disorders, PLoS ONE and Journal of Parkinson s Disease.

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.

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