Michal Tomčík
- Molecular Biology top 5%
- Pathology and Forensic Medicine top 1%
- Biomedical Engineering top 5%
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Jörg H. W. DistlerLadislav ŠenoltJiří VencovskýRadim BečvářKarel PavelkáMaja ŠpiritovićHana ŠtorkánováSabína Oreská
- Topics
- Systemic Sclerosis and Related Diseases (43 papers)Inflammatory Myopathies and Dermatomyositis (18 papers)Dermatologic Treatments and Research (16 papers)
- Partner nations
- CzechiaGermanySwitzerland
In The Last Decade
Michal Tomčík
86 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Molecular Biology 1.5k
- Pathology and Forensic Medicine 938
- Biomedical Engineering 818
- Immunology 601
- Pulmonary and Respiratory Medicine 588
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 of co-authors of Michal Tomčík
This figure shows the co-authorship network connecting the top 25 collaborators of Michal Tomčík. A scholar is included among the top collaborators of Michal Tomčík based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michal Tomčík. Michal Tomčík is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | Plasma Hsp90 levels in patients with systemic sclerosis and relation to lung and skin involvement: a cross-sectional and longitudinal studybreakdown → | 4074 |
| 14 | 25 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | 12 | |
| 18 | 36 | |
| 19 | 31 | |
| 20 | 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) and Dermatologic Treatments and Research (16 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.