Barbora Šumová
Impact in
- Pathology and Forensic Medicine top 10%
- Systemic Sclerosis and Related Diseases
- Geriatrics and Gerontology top 10%
Papers in
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- S100 Proteins and Annexins 5
- Connective Tissue Growth Factor Research 1
-
- Systemic Sclerosis and Related Diseases 4
- Co-authors
- Jörg H. W. Distler (6 shared papers)Oliver Distler (6 shared papers)Georg Schett (6 shared papers)Ladislav Šenolt (12 shared papers)Alfiya Distler (4 shared papers)Michal Tomčík (6 shared papers)Pawel Zerr (4 shared papers)Tatjana Mallano (3 shared papers)
- Journals
- Annals of the Rheumatic Diseases (6 papers)Cytokine (2 papers)PLoS ONE (1 paper)Biomarkers (1 paper)Arthritis Research & Therapy (1 paper)
- Partner nations
- CzechiaGermanySwitzerland
In The Last Decade
Barbora Šumová
14 papers receiving 730 citations
Peers
Comparison fields: 5 of 70
- Pathology and Forensic Medicine 155
- Geriatrics and Gerontology 29
- Immunology 136
- Dermatology 49
- Pulmonary and Respiratory Medicine 148
Countries citing papers authored by Barbora Šumová
This map shows the geographic impact of Barbora Šumová'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 Barbora Šumová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbora Šumová more than expected).
Fields of papers citing papers by Barbora Šumová
This network shows the impact of papers produced by Barbora Šumová. 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 Barbora Šumová. The network helps show where Barbora Šumová may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbora Šumová, 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 | 2017 | 288 | |
| 2 | 2014 | 125 | |
| 3 | 2014 | 58 | |
| 4 | 2017 | 42 | |
| 5 | 2016 | 41 | |
| 6 | 2015 | 37 | |
| 7 | 2016 | 35 | |
| 8 | 2018 | 28 | |
| 9 | 2015 | 27 | |
| 10 | 2019 | 22 | |
| 11 | 2014 | 13 | |
| 12 | 2017 | 13 | |
| 13 | 2020 | 2 | |
| 14 | 2019 | 1 |
About Barbora Šumová
Barbora Šumová is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Rheumatology, Immunology and Dermatology, having authored 14 papers that have together received 732 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (5 papers), Systemic Sclerosis and Related Diseases (4 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Spondyloarthritis Studies and Treatments (1 paper), Biomarkers in Disease Mechanisms (1 paper), Protease and Inhibitor Mechanisms (1 paper), Connective Tissue Growth Factor Research (1 paper) and Dermatologic Treatments and Research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (155 citations), Geriatrics and Gerontology (29 citations), Immunology (136 citations), Dermatology (49 citations) and Pulmonary and Respiratory Medicine (148 citations). Barbora Šumová has collaborated with scholars based in Czechia, Germany and Switzerland. Frequent co-authors include Jörg H. W. Distler, Oliver Distler, Georg Schett, Ladislav Šenolt, Alfiya Distler, Michal Tomčík, Pawel Zerr, Tatjana Mallano, Andreas Ramming and Katrin Palumbo‐Zerr. Their work appears in journals such as Annals of the Rheumatic Diseases, Cytokine, PLoS ONE, Biomarkers and Arthritis Research & Therapy.
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.