Michal Tomčík
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- Systemic Sclerosis and Related Diseases 43
- Dermatology top 1%
- Dermatologic Treatments and Research 16
- Modeling and Simulation top 2%
- Immunology top 5%
- Mast cells and histamine 9
- Molecular Biology top 5%
- Connective Tissue Growth Factor Research 11
- Muscle Physiology and Disorders 8
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- Inflammatory Myopathies and Dermatomyositis 18
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- Fibromyalgia and Chronic Fatigue Syndrome Research 8
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- Spondyloarthritis Studies and Treatments 8
- Co-authors
- Jörg H. W. DistlerLadislav ŠenoltJiří VencovskýRadim BečvářKarel PavelkáMaja ŠpiritovićHana ŠtorkánováSabína Oreská
- Partner nations
- CzechiaGermanySwitzerland
In The Last Decade
Michal Tomčík
86 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Pathology and Forensic Medicine 938
- Dermatology 378
- Modeling and Simulation 144
- Immunology 601
- Molecular Biology 1.5k
Countries citing papers authored by Michal Tomčík
This map shows the geographic impact of Michal Tomčík'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 Michal Tomčík with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Tomčík more than expected).
Fields of papers citing papers by Michal Tomčík
This network shows the impact of papers produced by Michal Tomčík. 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 Michal Tomčík. The network helps show where Michal Tomčík may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michal Tomčík, 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 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 16 | |
| 13 | Plasma Hsp90 levels in patients with systemic sclerosis and relation to lung and skin involvement: a cross-sectional and longitudinal studybreakdown → | 2021 | 4074 |
| 14 | 2021 | 25 | |
| 15 | 2020 | 2 | |
| 16 | 2019 | 6 | |
| 17 | 2019 | 12 | |
| 18 | 2015 | 36 | |
| 19 | 2012 | 31 | |
| 20 | 2011 | 116 |
About Michal Tomčík
Michal Tomčík is a scholar working on Pathology and Forensic Medicine, Dermatology and Rheumatology, having authored 91 papers that have together received 6.4k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (43 papers), Inflammatory Myopathies and Dermatomyositis (18 papers), Dermatologic Treatments and Research (16 papers), Connective Tissue Growth Factor Research (11 papers), Mast cells and histamine (9 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (8 papers), Muscle Physiology and Disorders (8 papers) and Spondyloarthritis Studies and Treatments (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (938 citations), Dermatology (378 citations) and Modeling and Simulation (144 citations). Michal Tomčík has collaborated with scholars based in Czechia, Germany and Switzerland. Frequent co-authors include Jörg H. W. Distler, Ladislav Šenolt, Jiří Vencovský, Radim Bečvář, Karel Pavelká, Maja Špiritović, Hana Štorkánová, Sabína Oreská, Barbora Heřmánková and Martin Komarc. Their work appears in journals such as Nature Medicine, Blood and The Journal of Physiology.
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.