Tomáš Uher
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- Multiple Sclerosis Research Studies 53
- Systemic Sclerosis and Related Diseases 6
- Neurology top 5%
- Peripheral Neuropathies and Disorders 8
- Neurology top 10%
- Peripheral Neuropathies and Disorders 8
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research 14
- Developmental Neuroscience top 10%
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- Advanced Neuroimaging Techniques and Applications 8
- Ultrasound Imaging and Elastography 4
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- Fibromyalgia and Chronic Fatigue Syndrome Research 6
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- Ultrasound and Hyperthermia Applications 4
- Co-authors
- Dana HorákováManuela VaněčkováEva HavrdováJan KrásenskýRobert ZivadinovZdeněk SeidlMichaela TýblováNiels Bergsland
- Journals
- Multiple Sclerosis Journal (10 papers)Multiple Sclerosis and Related Disorders (8 papers)NeuroImage Clinical (5 papers)
- Partner nations
- CzechiaUnited StatesItaly
In The Last Decade
Tomáš Uher
73 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Pathology and Forensic Medicine 866
- Neurology 321
- Neurology 127
- Rheumatology 219
- Developmental Neuroscience 58
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2019 | 25 | |
| 14 | Atlas-based tract damage mapping improves 4-year forecast of EDSS in multiple sclerosis | 2019 | 1 |
| 15 | 2019 | 14 | |
| 16 | 2018 | 1 | |
| 17 | 2017 | 9 | |
| 18 | 2014 | 41 | |
| 19 | 2012 | 31 | |
| 20 | 2008 | 10 |
About Tomáš Uher
Tomáš Uher is a scholar working on Pathology and Forensic Medicine, Rheumatology, Neurology, Anatomy and Radiology, Nuclear Medicine and Imaging, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (53 papers), Systemic Lupus Erythematosus Research (14 papers), Peripheral Neuropathies and Disorders (8 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers), Systemic Sclerosis and Related Diseases (6 papers), Ultrasound Imaging and Elastography (4 papers) and Ultrasound and Hyperthermia Applications (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (866 citations), Neurology (321 citations), Neurology (127 citations), Rheumatology (219 citations) and Developmental Neuroscience (58 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, Michael G. Dwyer and Petr Bob. Their work appears in journals such as Multiple Sclerosis Journal, Multiple Sclerosis and Related Disorders, NeuroImage Clinical, Neurology and Journal of Neuroimaging.
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.