Radoslav Matěj
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Amyotrophic Lateral Sclerosis Research
- Neurological diseases and metabolism
- Neuroinflammation and Neurodegeneration Mechanisms
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
-
- Prion Diseases and Protein Misfolding 25
- Physiology 40
- Alzheimer's disease research and treatments 31
- Co-authors
- Robert Rusina (36 shared papers)Tomáš Olejár (20 shared papers)Zdeněk Rohan (12 shared papers)Gábor G. Kovács (8 shared papers)Jaromír Kukal (15 shared papers)Petr Waldauf (12 shared papers)Eva Parobková (7 shared papers)Kateřina Menšíková (6 shared papers)
In The Last Decade
Radoslav Matěj
125 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Neurology 233
- Neurology 343
- Physiology 313
- Biological Psychiatry 18
- Cellular and Molecular Neuroscience 103
Countries citing papers authored by Radoslav Matěj
This map shows the geographic impact of Radoslav Matěj'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 Radoslav Matěj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radoslav Matěj more than expected).
Fields of papers citing papers by Radoslav Matěj
This network shows the impact of papers produced by Radoslav Matěj. 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 Radoslav Matěj. The network helps show where Radoslav Matěj may publish in the future.
Co-authors
The 25 scholars most cited alongside Radoslav Matěj, 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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 108 | |
| 2 | 2022 | 58 | |
| 3 | 2022 | 49 | |
| 4 | 2009 | 46 | |
| 5 | 2016 | 36 | |
| 6 | 2013 | 29 | |
| 7 | 2015 | 26 | |
| 8 | 2011 | 26 | |
| 9 | 2020 | 23 | |
| 10 | 2014 | 22 | |
| 11 | 2019 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2011 | 20 | |
| 14 | 2021 | 20 | |
| 15 | 2001 | 19 | |
| 16 | 2015 | 18 | |
| 17 | 2012 | 17 | |
| 18 | 2015 | 17 | |
| 19 | 2021 | 15 | |
| 20 | 2023 | 14 |
About Radoslav Matěj
Radoslav Matěj is a scholar working on Molecular Biology, Physiology, Neurology, Neurology and Pulmonary and Respiratory Medicine, having authored 144 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (31 papers), Prion Diseases and Protein Misfolding (25 papers), Neurological diseases and metabolism (24 papers), Ovarian cancer diagnosis and treatment (16 papers), Parkinson's Disease Mechanisms and Treatments (15 papers), Amyotrophic Lateral Sclerosis Research (14 papers), Endometrial and Cervical Cancer Treatments (8 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers). The work is most often cited by research in Neurology (233 citations), Neurology (343 citations), Physiology (313 citations), Biological Psychiatry (18 citations) and Cellular and Molecular Neuroscience (103 citations). Radoslav Matěj has collaborated with scholars based in Czechia, Hungary and Austria. Frequent co-authors include Robert Rusina, Tomáš Olejár, Zdeněk Rohan, Gábor G. Kovács, Jaromír Kukal, Petr Waldauf, Eva Parobková, Kateřina Menšíková, Petr Kaňovský and Lucie Tučková. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Scientific Reports, Diagnostic Pathology, International Journal of Molecular Sciences and BMC Neurology.
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.