M Čermáková
- Co-authors
- Marek KuzmaHelena Tlaskalová‐HogenováBlanka ŠediváPetra ProcházkováHelena PelantováTomáš HudcovicMartin KostovčíkŠtěpán Coufal
- Topics
- Adipose Tissue and Metabolism (5 papers)Diet and metabolism studies (4 papers)Gut microbiota and health (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismJournal of Applied PhysiologyAnnals of the New York Academy of Sciences
- Partner nations
- CzechiaUnited KingdomNorway
In The Last Decade
M Čermáková
23 papers receiving 537 citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 254
- Physiology 165
- Clinical Psychology 91
- Epidemiology 64
- Immunology 53
Countries citing papers authored by M Čermáková
This map shows the geographic impact of M Čermáková'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 M Čermáková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Čermáková more than expected).
Fields of papers citing papers by M Čermáková
This network shows the impact of papers produced by M Čermáková. 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 M Čermáková. The network helps show where M Čermáková may publish in the future.
Co-authorship network of co-authors of M Čermáková
This figure shows the co-authorship network connecting the top 25 collaborators of M Čermáková. A scholar is included among the top collaborators of M Čermáková 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 M Čermáková. M Čermáková 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 | 93 | |
| 3 | 4 | |
| 4 | 65 | |
| 5 | 60 | |
| 6 | 7 | |
| 7 | 98 | |
| 8 | 12 | |
| 9 | 7 | |
| 10 | 12 | |
| 11 | 28 | |
| 12 | 7 | |
| 13 | 6 | |
| 14 | 8 | |
| 15 | 18 | |
| 16 | Skin explant model assay - a tool for detection of autoaggression in patients with rheumatoid arthritis | 2 |
| 17 | [The importance of tapering the intestines in congenital intestinal atresia]. | 1 |
| 18 | 71 | |
| 19 | Leukocytes in crevices of human gingiva. | 2 |
| 20 | [The relationship of the level of vitamin E in blood serum in periodontal diseases]. | 1 |
About M Čermáková
M Čermáková is a scholar working on Physiology, Hematology and Internal Medicine, having authored 26 papers that have together received 557 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Diet and metabolism studies (4 papers) and Gut microbiota and health (4 papers). The work is most often cited by research in Biological Psychiatry (31 citations), Physiology (165 citations) and Endocrine and Autonomic Systems (42 citations). M Čermáková has collaborated with scholars based in Czechia, United Kingdom and Norway. Frequent co-authors include Marek Kuzma, Helena Tlaskalová‐Hogenová, Blanka Šedivá, Petra Procházková, Helena Pelantová, Tomáš Hudcovic, Martin Kostovčík, Štěpán Coufal, Klara Kostovcikova and Miloslav Kverka. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Applied Physiology and Annals of the New York Academy of 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.