Radana Brumarová

470 total citations
19 papers, 187 citations indexed

About

Radana Brumarová is a scholar working on Molecular Biology, Physiology and Clinical Biochemistry. According to data from OpenAlex, Radana Brumarová has authored 19 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Clinical Biochemistry. Recurrent topics in Radana Brumarová's work include Metabolomics and Mass Spectrometry Studies (8 papers), Metabolism and Genetic Disorders (5 papers) and Diet and metabolism studies (4 papers). Radana Brumarová is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (8 papers), Metabolism and Genetic Disorders (5 papers) and Diet and metabolism studies (4 papers). Radana Brumarová collaborates with scholars based in Czechia, Slovakia and Netherlands. Radana Brumarová's co-authors include David Friedecký, Tomáš Adam, Hana Janečková, Ivo Vrobel, Lukáš Najdekr, Jitka Široká, Edgar Faber, Markéta Pavlı́ková, Udo F. H. Engelke and Annemiek M. J. van Wegberg and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Proteome Research.

In The Last Decade

Radana Brumarová

18 papers receiving 183 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Radana Brumarová Czechia 10 122 39 21 18 14 19 187
Leena Bashyam India 10 207 1.7× 37 0.9× 22 1.0× 6 0.3× 23 1.6× 13 362
Dongjuan Zhang China 8 139 1.1× 33 0.8× 68 3.2× 32 1.8× 3 0.2× 29 329
Bryan Wilson United States 8 95 0.8× 24 0.6× 34 1.6× 17 0.9× 3 0.2× 19 284
Debra D. Hinson United States 6 256 2.1× 44 1.1× 42 2.0× 19 1.1× 5 0.4× 7 325
Tomo Shimizu Japan 9 242 2.0× 19 0.5× 40 1.9× 12 0.7× 2 0.1× 16 354
Helena Beatriz Ferreira Portugal 7 149 1.2× 34 0.9× 43 2.0× 3 0.2× 6 0.4× 18 278
Maria‐Luisa Fraek Germany 12 209 1.7× 13 0.3× 52 2.5× 33 1.8× 3 0.2× 18 342
Petr Chrastina Czechia 8 134 1.1× 106 2.7× 72 3.4× 8 0.4× 4 0.3× 17 256
Juliette Fortpied Belgium 9 117 1.0× 174 4.5× 64 3.0× 26 1.4× 12 0.9× 9 367
Rajasree Sreedharan United States 8 67 0.5× 6 0.2× 20 1.0× 36 2.0× 16 1.1× 14 143

Countries citing papers authored by Radana Brumarová

Since Specialization
Citations

This map shows the geographic impact of Radana Brumarová'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 Radana Brumarová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radana Brumarová more than expected).

Fields of papers citing papers by Radana Brumarová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radana Brumarová. 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 Radana Brumarová. The network helps show where Radana Brumarová may publish in the future.

Co-authorship network of co-authors of Radana Brumarová

This figure shows the co-authorship network connecting the top 25 collaborators of Radana Brumarová. A scholar is included among the top collaborators of Radana Brumarová 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 Radana Brumarová. Radana Brumarová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Ligasová, Anna, et al.. (2025). Cytidine and dCMP Deaminases—Current Methods of Activity Analysis. International Journal of Molecular Sciences. 26(16). 8045–8045. 1 indexed citations
2.
Sedlák, František, et al.. (2024). Parallel Metabolomics and Lipidomics of a PSMA/GCPII Deficient Mouse Model Reveal Alteration of NAAG Levels and Brain Lipid Composition. ACS Chemical Neuroscience. 15(7). 1342–1355. 5 indexed citations
3.
Jahn, P., et al.. (2024). Horse with myopathy caused by consumption of box elder tree seedlings in the Czech Republic. Equine Veterinary Education. 37(5).
4.
Kotaška, Karel, et al.. (2024). Long-chain polyunsaturated fatty acid-containing phosphatidylcholines predict survival rate in patients after heart failure. Heliyon. 10(21). e39979–e39979. 2 indexed citations
5.
Majerová, Petra, Radana Brumarová, Jozef Hanes, et al.. (2024). Changes in lipid metabolism track with the progression of neurofibrillary pathology in tauopathies. Journal of Neuroinflammation. 21(1). 78–78. 9 indexed citations
6.
Friedecký, David, Radana Brumarová, Markéta Pavlı́ková, et al.. (2023). Alterations in lipidome profiles distinguish early-onset hyperuricemia, gout, and the effect of urate-lowering treatment. Arthritis Research & Therapy. 25(1). 234–234. 22 indexed citations
7.
Brumarová, Radana, et al.. (2022). Combined Targeted and Untargeted Profiling of HeLa Cells Deficient in Purine De Novo Synthesis. Metabolites. 12(3). 241–241. 3 indexed citations
8.
9.
Friedecký, David, Alena Tichá, Radomı́r Hyšpler, et al.. (2021). SLIDE—Novel Approach to Apocrine Sweat Sampling for Lipid Profiling in Healthy Individuals. International Journal of Molecular Sciences. 22(15). 8054–8054. 7 indexed citations
10.
Cífková, Eva, et al.. (2021). Lipidomic and metabolomic analysis reveals changes in biochemical pathways for non-small cell lung cancer tissues. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1867(2). 159082–159082. 17 indexed citations
11.
Majerová, Petra, Roman Hájek, Juraj Piešťanský, et al.. (2021). GM3 Ganglioside Linked to Neurofibrillary Pathology in a Transgenic Rat Model for Tauopathy. International Journal of Molecular Sciences. 22(22). 12581–12581. 5 indexed citations
12.
Brumarová, Radana, Hana Janečková, David Friedecký, et al.. (2020). A newborn screening approach to diagnose 3‐hydroxy‐3‐methylglutaryl‐CoA lyase deficiency. JIMD Reports. 54(1). 79–86. 11 indexed citations
13.
Brumarová, Radana, Jitka Široká, David Friedecký, et al.. (2018). Newborn foal with atypical myopathy. Journal of Veterinary Internal Medicine. 32(5). 1768–1772. 12 indexed citations
14.
Šalovská, Barbora, Hana Janečková, Ivo Fabrik, et al.. (2018). Radio-sensitizing effects of VE-821 and beyond: Distinct phosphoproteomic and metabolomic changes after ATR inhibition in irradiated MOLT-4 cells. PLoS ONE. 13(7). e0199349–e0199349. 9 indexed citations
15.
Vrobel, Ivo, David Friedecký, Edgar Faber, et al.. (2017). Novel sulphur-containing imatinib metabolites found by untargeted LC-HRMS analysis. European Journal of Pharmaceutical Sciences. 104. 335–343. 8 indexed citations
16.
Brumarová, Radana, Lukáš Najdekr, Tomáš Adam, et al.. (2017). Metabolic status of CSF distinguishes rats with tauopathy from controls. Alzheimer s Research & Therapy. 9(1). 78–78. 10 indexed citations
17.
Coene, Karlien L. M., Ivo Vrobel, Lukáš Najdekr, et al.. (2017). Structural elucidation of novel biomarkers of known metabolic disorders based on multistage fragmentation mass spectra. Journal of Inherited Metabolic Disease. 41(3). 407–414. 20 indexed citations
18.
Brumarová, Radana, Jitka Široká, David Friedecký, et al.. (2016). Metabolite Profiling of the Plasma and Leukocytes of Chronic Myeloid Leukemia Patients. Journal of Proteome Research. 15(9). 3158–3166. 33 indexed citations
19.
Smilde, Age K., et al.. (2016). Normalization techniques for PARAFAC modeling of urine metabolomic data. Metabolomics. 12(7). 11 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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