Miroslav Vařecha

1.1k total citations
21 papers, 738 citations indexed

About

Miroslav Vařecha is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Miroslav Vařecha has authored 21 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Genetics. Recurrent topics in Miroslav Vařecha's work include Fibroblast Growth Factor Research (6 papers), Cell death mechanisms and regulation (4 papers) and Adipose Tissue and Metabolism (3 papers). Miroslav Vařecha is often cited by papers focused on Fibroblast Growth Factor Research (6 papers), Cell death mechanisms and regulation (4 papers) and Adipose Tissue and Metabolism (3 papers). Miroslav Vařecha collaborates with scholars based in Czechia, United States and Germany. Miroslav Vařecha's co-authors include Martin Jabůrek, Keith Garlid, Petr Ježek, Ruth E. Gimeno, Marlene Dembski, Louis A. Tartaglia, Paul Burn, Pavel Krejčı́, Michaela Kunova Bosakova and Michal Kozubek and has published in prestigious journals such as Journal of Biological Chemistry, Biomaterials and Human Molecular Genetics.

In The Last Decade

Miroslav Vařecha

21 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miroslav Vařecha Czechia 14 498 354 133 113 63 21 738
Kendra D. Martyn United States 9 555 1.1× 393 1.1× 50 0.4× 85 0.8× 26 0.4× 10 1.0k
David E. Orosz United States 9 533 1.1× 421 1.2× 143 1.1× 48 0.4× 122 1.9× 9 808
Melissa A. Greeve Australia 7 461 0.9× 189 0.5× 127 1.0× 46 0.4× 71 1.1× 8 778
Sheree D. Martin Australia 16 402 0.8× 186 0.5× 128 1.0× 43 0.4× 38 0.6× 26 728
Uta Lichter‐Konecki United States 20 608 1.2× 223 0.6× 102 0.8× 152 1.3× 21 0.3× 35 1.1k
Anne‐Frédérique Dessein France 12 362 0.7× 161 0.5× 121 0.9× 30 0.3× 23 0.4× 33 686
Eleonora Paradies Italy 11 702 1.4× 176 0.5× 68 0.5× 40 0.4× 30 0.5× 18 922
Henk-Jan Visch Netherlands 12 692 1.4× 113 0.3× 80 0.6× 45 0.4× 24 0.4× 12 900
Irina Alecu Switzerland 14 526 1.1× 271 0.8× 165 1.2× 19 0.2× 26 0.4× 24 810
Radha Krishna United States 17 449 0.9× 153 0.4× 44 0.3× 76 0.7× 117 1.9× 29 895

Countries citing papers authored by Miroslav Vařecha

Since Specialization
Citations

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

Fields of papers citing papers by Miroslav Vařecha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miroslav Vařecha

This figure shows the co-authorship network connecting the top 25 collaborators of Miroslav Vařecha. A scholar is included among the top collaborators of Miroslav Vařecha 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 Miroslav Vařecha. Miroslav Vařecha 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.
Fasugba, Oyebola, Robert Mikulík, Simeon Dale, et al.. (2023). How registry data are used to inform activities for stroke care quality improvement across 55 countries: A cross‐sectional survey of Registry of Stroke Care Quality (RES‐Q) hospitals. European Journal of Neurology. 31(1). e16024–e16024. 5 indexed citations
2.
Hrubá, Eva, Miloš Macholán, Tomáš Zikmund, et al.. (2021). Loss of Sprouty Produces a Ciliopathic Skeletal Phenotype in Mice Through Upregulation of Hedgehog Signaling. Journal of Bone and Mineral Research. 36(11). 2258–2274. 4 indexed citations
3.
Bálek, Lukáš, Marcela Buchtová, Michaela Kunova Bosakova, et al.. (2018). Nanodiamonds as “artificial proteins”: Regulation of a cell signalling system using low nanomolar solutions of inorganic nanocrystals. Biomaterials. 176. 106–121. 25 indexed citations
4.
Bosakova, Michaela Kunova, Miroslav Vařecha, Iván Durán, et al.. (2018). Regulation of ciliary function by fibroblast growth factor signaling identifies FGFR3-related disorders achondroplasia and thanatophoric dysplasia as ciliopathies. Human Molecular Genetics. 27(6). 1093–1105. 35 indexed citations
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Fafílek, Bohumil, Iva Veselá, Lukáš Bálek, et al.. (2017). Statins do not inhibit the FGFR signaling in chondrocytes. Osteoarthritis and Cartilage. 25(9). 1522–1530. 17 indexed citations
8.
Bálek, Lukáš, Pavel Němec, Peter Koník, et al.. (2017). Proteomic analyses of signalling complexes associated with receptor tyrosine kinase identify novel members of fibroblast growth factor receptor 3 interactome. Cellular Signalling. 42. 144–154. 11 indexed citations
9.
Gudernová, Iva, Silvie Foldynová-Trantírková, Bohumil Fafílek, et al.. (2017). One reporter for in-cell activity profiling of majority of protein kinase oncogenes. eLife. 6. 14 indexed citations
10.
Gudernová, Iva, Lukáš Bálek, Miroslav Vařecha, et al.. (2017). Inhibitor repurposing reveals ALK, LTK, FGFR, RET and TRK kinases as the targets of AZD1480. Oncotarget. 8(65). 109319–109331. 7 indexed citations
11.
Taylor, S. Paige, Michaela Kunova Bosakova, Miroslav Vařecha, et al.. (2016). An inactivating mutation in intestinal cell kinase,ICK, impairs hedgehog signalling and causes short rib-polydactyly syndrome. Human Molecular Genetics. 25(18). 3998–4011. 41 indexed citations
12.
Hříbková, Hana, et al.. (2016). Stage-specific roles of FGF2 signaling in human neural development. Stem Cell Research. 17(2). 330–341. 20 indexed citations
13.
Vařecha, Miroslav, et al.. (2012). Knockdown of apoptosis-inducing factor disrupts function of respiratory complex. Biocell. 36(3). 121–126. 1 indexed citations
14.
Vařecha, Miroslav, et al.. (2011). Endonuclease G interacts with histone H2B and DNA topoisomerase II alpha during apoptosis. Molecular and Cellular Biochemistry. 363(1-2). 301–307. 20 indexed citations
15.
Galiová, Gabriela, Soňa Legartová, Pavel Matula, et al.. (2010). SUV39h‐ and A‐type lamin‐dependent telomere nuclear rearrangement. Journal of Cellular Biochemistry. 109(5). 915–926. 17 indexed citations
16.
Vařecha, Miroslav, et al.. (2009). Prediction of localization and interactions of apoptotic proteins. Journal of Biomedical Science. 16(1). 59–59. 10 indexed citations
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Jabůrek, Martin, Miroslav Vařecha, Petr Ježek, & Keith Garlid. (2001). Alkylsulfonates as Probes of Uncoupling Protein Transport Mechanism. Journal of Biological Chemistry. 276(34). 31897–31905. 38 indexed citations
19.
Garlid, Keith, Martin Jabůrek, Petr Ježek, & Miroslav Vařecha. (2000). How do uncoupling proteins uncouple?. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1459(2-3). 383–389. 97 indexed citations
20.
Jabůrek, Martin, Miroslav Vařecha, Ruth E. Gimeno, et al.. (1999). Transport Function and Regulation of Mitochondrial Uncoupling Proteins 2 and 3. Journal of Biological Chemistry. 274(37). 26003–26007. 283 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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