Mirka Uhlířová

1.9k total citations
28 papers, 1.4k citations indexed

About

Mirka Uhlířová is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Mirka Uhlířová has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Immunology and 9 papers in Cell Biology. Recurrent topics in Mirka Uhlířová's work include Invertebrate Immune Response Mechanisms (8 papers), Hippo pathway signaling and YAP/TAZ (7 papers) and Neurobiology and Insect Physiology Research (6 papers). Mirka Uhlířová is often cited by papers focused on Invertebrate Immune Response Mechanisms (8 papers), Hippo pathway signaling and YAP/TAZ (7 papers) and Neurobiology and Insect Physiology Research (6 papers). Mirka Uhlířová collaborates with scholars based in Germany, Czechia and United States. Mirka Uhlířová's co-authors include Dirk Bohmann, Marek Jindra, Lynn M. Riddiford, Heinrich Jasper, Jean‐Philippe Charles, Vlastimil Smýkal, Ronald J. Hill, Brian D. Foy, Ken E. Olson and Barry J. Beaty and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Mirka Uhlířová

26 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mirka Uhlířová Germany 17 777 397 384 325 228 28 1.4k
Xavier Franch‐Marro Spain 21 867 1.1× 359 0.9× 432 1.1× 168 0.5× 174 0.8× 33 1.3k
Chrysoula Pitsouli Cyprus 17 1.1k 1.4× 294 0.7× 463 1.2× 373 1.1× 190 0.8× 23 1.7k
Jennifer Zanet France 16 888 1.1× 353 0.9× 182 0.5× 215 0.7× 72 0.3× 21 1.4k
Bengt Åsling Sweden 10 949 1.2× 379 1.0× 590 1.5× 627 1.9× 307 1.3× 11 1.7k
Robert DeLotto United States 16 595 0.8× 188 0.5× 275 0.7× 342 1.1× 160 0.7× 26 965
Celeste A. Berg United States 24 1.1k 1.4× 264 0.7× 254 0.7× 185 0.6× 174 0.8× 37 1.5k
Jeongsil Kim‐Ha South Korea 17 1.3k 1.7× 173 0.4× 210 0.5× 335 1.0× 150 0.7× 34 1.8k
Frieder Schöck Canada 23 987 1.3× 555 1.4× 283 0.7× 180 0.6× 74 0.3× 40 1.5k
Péter Vilmos Hungary 15 782 1.0× 273 0.7× 330 0.9× 662 2.0× 500 2.2× 35 1.5k
Matthew A. Booker United States 14 1.4k 1.8× 259 0.7× 448 1.2× 254 0.8× 155 0.7× 17 2.0k

Countries citing papers authored by Mirka Uhlířová

Since Specialization
Citations

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

Fields of papers citing papers by Mirka Uhlířová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirka Uhlířová

This figure shows the co-authorship network connecting the top 25 collaborators of Mirka Uhlířová. A scholar is included among the top collaborators of Mirka Uhlířová 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 Mirka Uhlířová. Mirka Uhlířová 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.
Gyenis, Ákos, et al.. (2025). Endosymbiont control through non-canonical immune signaling and gut metabolic remodeling. Cell Reports. 44(6). 115811–115811.
2.
Tain, Luke S., et al.. (2024). Xrp1 governs the stress response program to spliceosome dysfunction. Nucleic Acids Research. 52(5). 2093–2111. 3 indexed citations
3.
Floc’hlay, Swann, Valerie Christiaens, Carmen Bravo González‐Blas, et al.. (2023). Shared enhancer gene regulatory networks between wound and oncogenic programs. eLife. 12. 8 indexed citations
4.
Csordás, Gábor, et al.. (2022). Drosophila pVALIUM10 TRiP RNAi lines cause undesired silencing of Gateway-based transgenes. Life Science Alliance. 6(2). e202201801–e202201801.
5.
Csordás, Gábor, et al.. (2022). The mechanosensor Filamin A/Cheerio promotes tumourigenesis via specific interactions with components of the cell cortex. FEBS Journal. 289(15). 4497–4517. 5 indexed citations
6.
Csordás, Gábor, Ferdi Grawe, & Mirka Uhlířová. (2020). Eater cooperates with Multiplexin to drive the formation of hematopoietic compartments. eLife. 9. 9 indexed citations
7.
Uhlířová, Mirka, et al.. (2020). A Drosophila model to study retinitis pigmentosa pathology associated with mutations in the core splicing factor Prp8. Disease Models & Mechanisms. 13(6). 5 indexed citations
8.
McClure, Colin D., et al.. (2019). Ets21c Governs Tissue Renewal, Stress Tolerance, and Aging in the Drosophila Intestine. Cell Reports. 27(10). 3019–3033.e5. 40 indexed citations
9.
Csordás, Gábor, et al.. (2018). Atf3 links loss of epithelial polarity to defects in cell differentiation and cytoarchitecture. PLoS Genetics. 14(3). e1007241–e1007241. 18 indexed citations
10.
Gabriel, Elke, Irmgard Hölker, Aruljothi Mariappan, et al.. (2018). Novel insights into SMALED2: BICD2 mutations increase microtubule stability and cause defects in axonal and NMJ development. Human Molecular Genetics. 27(10). 1772–1784. 16 indexed citations
12.
Jindra, Marek, Mirka Uhlířová, Jean‐Philippe Charles, Vlastimil Smýkal, & Ronald J. Hill. (2015). Genetic Evidence for Function of the bHLH-PAS Protein Gce/Met As a Juvenile Hormone Receptor. PLoS Genetics. 11(7). e1005394–e1005394. 169 indexed citations
13.
Romani, Patrizia, et al.. (2014). Unexpected Role of the Steroid-Deficiency Protein Ecdysoneless in Pre-mRNA Splicing. PLoS Genetics. 10(4). e1004287–e1004287. 29 indexed citations
14.
Uhlířová, Mirka, et al.. (2012). The actin cross-linker Filamin/Cheerio mediates tumor malignancy downstream of JNK signaling. Journal of Cell Science. 126(Pt 4). 927–38. 50 indexed citations
15.
Wang, Qiong, Mirka Uhlířová, & Dirk Bohmann. (2010). Spatial Restriction of FGF Signaling by a Matrix Metalloprotease Controls Branching Morphogenesis. Developmental Cell. 18(1). 157–164. 39 indexed citations
16.
Sekyrová, Petra, Dirk Bohmann, Marek Jindra, & Mirka Uhlířová. (2009). Interaction betweenDrosophilabZIP proteins Atf3 and Jun prevents replacement of epithelial cells during metamorphosis. Development. 137(1). 141–150. 22 indexed citations
17.
Uhlířová, Mirka, Heinrich Jasper, & Dirk Bohmann. (2005). Non-cell-autonomous induction of tissue overgrowth by JNK/Ras cooperation in a Drosophila tumor model. Proceedings of the National Academy of Sciences. 102(37). 13123–13128. 116 indexed citations
18.
Foy, Brian D., Kevin M. Myles, Dennis J. Pierro, et al.. (2004). Development of a new Sindbis virus transducing system and its characterization in three Culicine mosquitoes and two Lepidopteran species. Insect Molecular Biology. 13(1). 89–100. 51 indexed citations
19.
Scholz, Tomáš, Mirka Uhlířová, & Oleg Ditrich. (2003). Helminth parasites of cats from the Vientiane Province, Laos, as indicators of the occurrence of causative agents of human parasitoses. Parasite. 10(4). 343–350. 33 indexed citations
20.
Uhlířová, Mirka, Masako Asahina, Lynn M. Riddiford, & Marek Jindra. (2002). Heat-inducible transgenic expression in the silkmoth Bombyx mori. Development Genes and Evolution. 212(3). 145–151. 59 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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