Péter Kósa
Impact in
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- Multiple Sclerosis Research Studies
- Neurology top 5%
Papers in
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- Multiple Sclerosis Research Studies 27
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- Fungal and yeast genetics research 5
- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 3
- Co-authors
- Bibiana Bielekova (36 shared papers)Thomas Bugge (8 shared papers)Roman Szabo (7 shared papers)Tianxia Wu (12 shared papers)Mika Komori (13 shared papers)Karin List (3 shared papers)Alfredo Molinolo (3 shared papers)Mario Mencı́a (1 shared paper)
- Journals
- Frontiers in Neurology (8 papers)Annals of Clinical and Translational Neurology (5 papers)Multiple Sclerosis and Related Disorders (4 papers)Annals of Neurology (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesSlovakiaUnited Kingdom
In The Last Decade
Péter Kósa
55 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 112
- Pathology and Forensic Medicine 537
- Neurology 136
- Hematology 149
- Immunology and Allergy 68
- Molecular Biology 823
Countries citing papers authored by Péter Kósa
This map shows the geographic impact of Péter Kósa'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 Kósa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Kósa more than expected).
Fields of papers citing papers by Péter Kósa
This network shows the impact of papers produced by Péter Kósa. 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 Kósa. The network helps show where Péter Kósa may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter Kósa, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 151 | |
| 2 | 1997 | 141 | |
| 3 | 2015 | 120 | |
| 4 | 2015 | 118 | |
| 5 | 2009 | 117 | |
| 6 | 2016 | 116 | |
| 7 | 2009 | 102 | |
| 8 | 2011 | 81 | |
| 9 | 1998 | 67 | |
| 10 | 2012 | 62 | |
| 11 | 2006 | 61 | |
| 12 | 2009 | 53 | |
| 13 | 2014 | 51 | |
| 14 | 2009 | 50 | |
| 15 | 2006 | 48 | |
| 16 | 2011 | 47 | |
| 17 | 2017 | 45 | |
| 18 | 2019 | 44 | |
| 19 | 2016 | 42 | |
| 20 | 2021 | 40 |
About Péter Kósa
Péter Kósa is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Epidemiology, Neurology and Genetics, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (27 papers), Fungal and yeast genetics research (5 papers), Fungal Infections and Studies (4 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (3 papers), Antifungal resistance and susceptibility (3 papers), Genomics and Phylogenetic Studies (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (537 citations), Neurology (136 citations), Hematology (149 citations), Immunology and Allergy (68 citations) and Molecular Biology (823 citations). Péter Kósa has collaborated with scholars based in United States, Slovakia and United Kingdom. Frequent co-authors include Bibiana Bielekova, Thomas Bugge, Roman Szabo, Tianxia Wu, Mika Komori, Karin List, Alfredo Molinolo, Mario Mencı́a, Laurent Kuras and Kevin Struhl. Their work appears in journals such as Frontiers in Neurology, Annals of Clinical and Translational Neurology, Multiple Sclerosis and Related Disorders, Annals of Neurology and Proceedings of the National Academy of Sciences.
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.