M Čermáková

751 total citations
26 papers, 557 citations indexed

About

M Čermáková is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, M Čermáková has authored 26 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Physiology and 4 papers in Surgery. Recurrent topics in M Čermáková's work include Adipose Tissue and Metabolism (5 papers), Diet and metabolism studies (4 papers) and Gut microbiota and health (4 papers). M Čermáková is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Diet and metabolism studies (4 papers) and Gut microbiota and health (4 papers). M Čermáková collaborates with scholars based in Czechia, United Kingdom and Norway. M Čermáková's co-authors include Marek Kuzma, Helena Tlaskalová‐Hogenová, Blanka Šedivá, Petra Procházková, Helena Pelantová, Štěpán Coufal, Miloslav Kverka, Martin Kostovčík, Tomáš Hudcovic and Klara Kostovcikova and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Applied Physiology and Annals of the New York Academy of Sciences.

In The Last Decade

M Čermáková

23 papers receiving 537 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M Čermáková Czechia 11 254 165 91 64 53 26 557
Blanka Šedivá Czechia 10 209 0.8× 124 0.8× 46 0.5× 63 1.0× 20 0.4× 18 405
Dinko Martinović Croatia 14 141 0.6× 144 0.9× 29 0.3× 48 0.8× 36 0.7× 48 522
Charlotte Giwercman Carson Denmark 9 248 1.0× 251 1.5× 21 0.2× 134 2.1× 41 0.8× 10 947
Öner Özdemır Türkiye 12 158 0.6× 107 0.6× 20 0.2× 34 0.5× 146 2.8× 154 715
Su H. Chu United States 18 317 1.2× 121 0.7× 23 0.3× 83 1.3× 33 0.6× 41 791
Yinwei Chen China 13 395 1.6× 140 0.8× 14 0.2× 58 0.9× 51 1.0× 42 734
Kelsey E. Murphy United States 7 181 0.7× 126 0.8× 20 0.2× 169 2.6× 71 1.3× 11 703
Kati Kaartinen Finland 10 202 0.8× 167 1.0× 14 0.2× 108 1.7× 124 2.3× 24 606
Xi Luo China 13 216 0.9× 71 0.4× 40 0.4× 50 0.8× 58 1.1× 54 560

Countries citing papers authored by M Čermáková

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Procházková, Petra, Radka Roubalová, Jiří Dvořák, et al.. (2021). The intestinal microbiota and metabolites in patients with anorexia nervosa. Gut Microbes. 13(1). 1–25. 93 indexed citations
3.
Coufal, Štěpán, Martin Kostovčík, M Čermáková, et al.. (2020). Diet Rich in Simple Sugars Promotes Pro-Inflammatory Response via Gut Microbiota Alteration and TLR4 Signaling. Cells. 9(12). 2701–2701. 65 indexed citations
4.
Čermáková, M, Helena Pelantová, Marek Vecka, et al.. (2020). Lipid Profiling in Epicardial and Subcutaneous Adipose Tissue of Patients with Coronary Artery Disease. Journal of Proteome Research. 19(10). 3993–4003. 6 indexed citations
5.
Procházková, Petra, Radka Roubalová, Jiří Dvořák, et al.. (2019). Microbiota, Microbial Metabolites, and Barrier Function in A Patient with Anorexia Nervosa after Fecal Microbiota Transplantation. Microorganisms. 7(9). 338–338. 60 indexed citations
6.
Čermáková, M, Helena Pelantová, Blanka Šedivá, et al.. (2019). Metabolomic Study of Obesity and Its Treatment with Palmitoylated Prolactin-Releasing Peptide Analog in Spontaneously Hypertensive and Normotensive Rats. Journal of Proteome Research. 18(4). 1735–1750. 12 indexed citations
7.
Kostovcikova, Klara, Štěpán Coufal, Tomáš Hudcovic, et al.. (2019). Diet Rich in Animal Protein Promotes Pro-inflammatory Macrophage Response and Exacerbates Colitis in Mice. Frontiers in Immunology. 10. 919–919. 98 indexed citations
8.
Čermáková, M, Helena Pelantová, Marek Vecka, et al.. (2019). Minor lipids profiling in subcutaneous and epicardial fat tissue using LC/MS with an optimized preanalytical phase. Journal of Chromatography B. 1113. 50–59. 7 indexed citations
9.
Čermáková, M, et al.. (2006). Expression of mRNAs related to connective tissue metabolism in rat hepatic stellate cells and myofibroblasts. Experimental and Toxicologic Pathology. 58(4). 263–273. 7 indexed citations
10.
Čermáková, M, K Michalová, Iuri Marinov, et al.. (2006). Prognostic relevance of the FAB morphological criteria in chronic lymphocytic leukemia: correlations with IgVH gene mutational status and other prognostic markers.. PubMed. 53(3). 219–25. 9 indexed citations
11.
Čermáková, M, et al.. (2005). Expression of Cytoskeletal Proteins in Hepatic Stellatecells Isolated from Normal and Cirrhotic Rat Liver. Acta Medica (Hradec Kralove Czech Republic). 48(3-4). 137–144. 12 indexed citations
12.
Kubatka, Peter, et al.. (2002). Variability of mammary carcinogenesis induction in female Sprague-Dawley and Wistar:Han rats: the effect of season and age.. Physiological Research. 51(6). 633–640. 28 indexed citations
13.
Hromadníková, Ilona, Petr Sedláček, Jan Starý, et al.. (2001). An in vitro skin explant assay as a predictive assay for graft‐versus‐host disease in a cohort of pediatric transplants. Pediatric Transplantation. 5(4). 258–265. 7 indexed citations
14.
Sviland, Lisbet, Ilona Hromadníková, Petr Sedláček, et al.. (2001). Histological correlation between different centers using the skin explant model to predict graft-versus-host disease following bone marrow transplantation. Human Immunology. 62(11). 1277–1281. 6 indexed citations
15.
Bunc, Václav, et al.. (2000). Estimation of Body Composition by Multifrequency Bioimpedance Measurement in Children. Annals of the New York Academy of Sciences. 904(1). 203–204. 8 indexed citations
16.
Hromadníková, Ilona, et al.. (1999). Skin explant model assay - a tool for detection of autoaggression in patients with rheumatoid arthritis. 2 indexed citations
17.
Hromadníková, Ilona, Lisbet Sviland, P Taylor, et al.. (1999). Use of a skin explant model for predicting GVHD in HLA-matched bone marrow transplants – effect of GVHD prophylaxis. Bone Marrow Transplantation. 24(8). 857–863. 18 indexed citations
18.
Rygl, Michal, et al.. (1997). [The importance of tapering the intestines in congenital intestinal atresia].. PubMed. 76(1). 28–31. 1 indexed citations
19.
Houštěk, J, et al.. (1993). Type II iodothyronine 5'-deiodinase and uncoupling protein in brown adipose tissue of human newborns.. The Journal of Clinical Endocrinology & Metabolism. 77(2). 382–387. 71 indexed citations
20.
Jansa, Pavel, et al.. (1973). Leukocytes in crevices of human gingiva.. PubMed. 99(4). 304–9. 2 indexed citations

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.

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