Jan Kosla

1.6k total citations
13 papers, 175 citations indexed

About

Jan Kosla is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Jan Kosla has authored 13 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Jan Kosla's work include Cancer Cells and Metastasis (3 papers), DNA Repair Mechanisms (2 papers) and TGF-β signaling in diseases (2 papers). Jan Kosla is often cited by papers focused on Cancer Cells and Metastasis (3 papers), DNA Repair Mechanisms (2 papers) and TGF-β signaling in diseases (2 papers). Jan Kosla collaborates with scholars based in Czechia, Denmark and Russia. Jan Kosla's co-authors include Michal Dvořák, Vladimı́r Čermák, Jiřı́ Plachý, Jiřı́ Hejnar, Kateřina Trejbalová, Jan Brábek, Ondřej Tolde, Jiří Bártek, Zdeněk Hodný and Daniel Rösel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Cellular and Molecular Life Sciences.

In The Last Decade

Jan Kosla

12 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Kosla Czechia 9 107 30 26 21 21 13 175
Y. Morizane Japan 7 161 1.5× 30 1.0× 22 0.8× 44 2.1× 41 2.0× 9 229
Nicholas O. Markham United States 10 135 1.3× 17 0.6× 36 1.4× 11 0.5× 18 0.9× 21 232
Rwik Sen United States 13 318 3.0× 25 0.8× 25 1.0× 15 0.7× 43 2.0× 30 400
Anna A. Kiseleva United States 9 213 2.0× 38 1.3× 52 2.0× 17 0.8× 20 1.0× 17 280
Anna Mascia Italy 10 226 2.1× 28 0.9× 79 3.0× 8 0.4× 23 1.1× 10 341
Kaixiang Xu China 9 142 1.3× 26 0.9× 7 0.3× 36 1.7× 43 2.0× 26 242
Stephanie Guerra United States 7 159 1.5× 46 1.5× 15 0.6× 10 0.5× 50 2.4× 8 239
Chun Huang China 6 216 2.0× 87 2.9× 25 1.0× 23 1.1× 46 2.2× 8 279
Pelin Sahlén Sweden 10 263 2.5× 17 0.6× 7 0.3× 17 0.8× 47 2.2× 20 340
Alessia Zotta Italy 8 71 0.7× 20 0.7× 7 0.3× 18 0.9× 18 0.9× 13 187

Countries citing papers authored by Jan Kosla

Since Specialization
Citations

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

Fields of papers citing papers by Jan Kosla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Kosla

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

All Works

13 of 13 papers shown
1.
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Hubáčková, Soňa, et al.. (2022). Phospho-SIM and exon8b of PML protein regulate formation of doxorubicin-induced rDNA-PML compartment. DNA repair. 114. 103319–103319. 2 indexed citations
3.
Mikešová, Jana, Josef Geryk, Cyril Bařinka, et al.. (2021). The Avian Retroviral Receptor Tva Mediates the Uptake of Transcobalamin Bound Vitamin B 12 (Cobalamin). Journal of Virology. 95(8). 10 indexed citations
4.
Hanzlíková, Hana, Lucie Knoblochová, Jan Kosla, et al.. (2019). PML nuclear bodies are recruited to persistent DNA damage lesions in an RNF168-53BP1 dependent manner and contribute to DNA repair. DNA repair. 78. 114–127. 30 indexed citations
5.
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Kosla, Jan, et al.. (2017). Retroviral host range extension is coupled with Env-activating mutations resulting in receptor-independent entry. Proceedings of the National Academy of Sciences. 114(26). E5148–E5157. 9 indexed citations
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Rösel, Daniel, et al.. (2014). Complex 3D Models to Study Drug Targeting of Invadopodia. 1(2). 85–5. 2 indexed citations
9.
Plachý, Jiřı́, et al.. (2013). Downregulation of HOPX Controls Metastatic Behavior in Sarcoma Cells and Identifies Genes Associated with Metastasis. Molecular Cancer Research. 11(10). 1235–1247. 17 indexed citations
10.
Kosla, Jan, Daniela Paňková, Jiřı́ Plachý, et al.. (2013). Metastasis of aggressive amoeboid sarcoma cells is dependent on Rho/ROCK/MLC signaling. Cell Communication and Signaling. 11(1). 51–51. 34 indexed citations
11.
Kosla, Jan, et al.. (2013). Effective myofibroblast dedifferentiation by concomitant inhibition of TGF-β signaling and perturbation of MAPK signaling. European Journal of Cell Biology. 92(12). 363–373. 21 indexed citations
12.
Kosla, Jan, Michal Dvořák, & Vladimı́r Čermák. (2012). Molecular analysis of the TGF-beta controlled gene expression program in chicken embryo dermal myofibroblasts. Gene. 513(1). 90–100. 17 indexed citations
13.
Čermák, Vladimı́r, Jan Kosla, Jiřı́ Plachý, et al.. (2010). The transcription factor EGR1 regulates metastatic potential of v-src transformed sarcoma cells. Cellular and Molecular Life Sciences. 67(20). 3557–3568. 22 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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