Tomáš Uher
Impact in
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- Multiple Sclerosis Research Studies
- Biological Psychiatry top 10%
Papers in
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- Multiple Sclerosis Research Studies 54
- Systemic Sclerosis and Related Diseases 3
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- Peripheral Neuropathies and Disorders 3
- Co-authors
- Dana Horáková (55 shared papers)Manuela Vaněčková (52 shared papers)Eva Havrdová (49 shared papers)Jan Krásenský (48 shared papers)Robert Zivadinov (24 shared papers)Zdeněk Seidl (20 shared papers)Michaela Týblová (16 shared papers)Niels Bergsland (22 shared papers)
- Journals
- Multiple Sclerosis Journal (10 papers)Multiple Sclerosis and Related Disorders (9 papers)NeuroImage Clinical (5 papers)Journal of Neurology (4 papers)Journal of the Neurological Sciences (3 papers)
- Partner nations
- CzechiaUnited StatesItaly
In The Last Decade
Tomáš Uher
73 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 101
- Pathology and Forensic Medicine 802
- Biological Psychiatry 30
- Neurology 158
- Neurology 76
- Rheumatology 92
Countries citing papers authored by Tomáš Uher
This map shows the geographic impact of Tomáš Uher'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 Tomáš Uher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Uher more than expected).
Fields of papers citing papers by Tomáš Uher
This network shows the impact of papers produced by Tomáš Uher. 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 Tomáš Uher. The network helps show where Tomáš Uher may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomáš Uher, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 71 | |
| 2 | 2020 | 62 | |
| 3 | 2017 | 61 | |
| 4 | 2015 | 58 | |
| 5 | 2016 | 57 | |
| 6 | 2017 | 55 | |
| 7 | 2020 | 49 | |
| 8 | 2014 | 44 | |
| 9 | 2015 | 44 | |
| 10 | 2015 | 43 | |
| 11 | 2016 | 43 | |
| 12 | 2016 | 39 | |
| 13 | 2016 | 36 | |
| 14 | 2017 | 34 | |
| 15 | 2014 | 33 | |
| 16 | 2012 | 32 | |
| 17 | 2016 | 31 | |
| 18 | 2019 | 27 | |
| 19 | 2018 | 26 | |
| 20 | 2022 | 26 |
About Tomáš Uher
Tomáš Uher is a scholar working on Pathology and Forensic Medicine, Neurology, Psychiatry and Mental health, Molecular Biology and Pharmacology, having authored 90 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (54 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers), Systemic Lupus Erythematosus Research (3 papers), Systemic Sclerosis and Related Diseases (3 papers), Peripheral Neuropathies and Disorders (3 papers), Apelin-related biomedical research (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Voice and Speech Disorders (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (802 citations), Biological Psychiatry (30 citations), Neurology (158 citations), Neurology (76 citations) and Rheumatology (92 citations). Tomáš Uher has collaborated with scholars based in Czechia, United States and Italy. Frequent co-authors include Dana Horáková, Manuela Vaněčková, Eva Havrdová, Jan Krásenský, Robert Zivadinov, Zdeněk Seidl, Michaela Týblová, Niels Bergsland, Petr Bob and Michael G. Dwyer. Their work appears in journals such as Multiple Sclerosis Journal, Multiple Sclerosis and Related Disorders, NeuroImage Clinical, Journal of Neurology and Journal of the Neurological 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.