Martin Košař

847 total citations
9 papers, 591 citations indexed

About

Martin Košař is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Martin Košař has authored 9 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Immunology. Recurrent topics in Martin Košař's work include DNA Repair Mechanisms (6 papers), Mitochondrial Function and Pathology (4 papers) and Acute Myeloid Leukemia Research (1 paper). Martin Košař is often cited by papers focused on DNA Repair Mechanisms (6 papers), Mitochondrial Function and Pathology (4 papers) and Acute Myeloid Leukemia Research (1 paper). Martin Košař collaborates with scholars based in Czechia, Denmark and Sweden. Martin Košař's co-authors include Jiří Bártek, Zdeněk Hodný, Jiřina Bártková, Soňa Hubáčková, Martin Mistrík, Marco Foiani, Galina V. Beznoussenko, Dario Parazzoli, Giorgio Scita and Amit Kumar and has published in prestigious journals such as Cell, Nucleic Acids Research and Cell Death and Differentiation.

In The Last Decade

Martin Košař

9 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Košař Czechia 7 444 170 98 96 80 9 591
Jennifer A. Benanti United States 15 582 1.3× 121 0.7× 187 1.9× 182 1.9× 58 0.7× 24 777
Naoto Yoshizuka Japan 10 350 0.8× 101 0.6× 194 2.0× 60 0.6× 61 0.8× 14 527
Julie Cahu France 10 241 0.5× 90 0.5× 68 0.7× 104 1.1× 36 0.5× 12 367
Zhihao Ding China 14 412 0.9× 73 0.4× 129 1.3× 47 0.5× 103 1.3× 32 631
Nicki Gray United Kingdom 11 533 1.2× 86 0.5× 46 0.5× 50 0.5× 123 1.5× 12 704
Courtney A. Lovejoy United States 10 806 1.8× 131 0.8× 255 2.6× 108 1.1× 108 1.4× 14 891
Serguei R. Romanov United States 4 359 0.8× 211 1.2× 205 2.1× 36 0.4× 72 0.9× 7 583
Christopher S. Bland United States 5 578 1.3× 41 0.2× 105 1.1× 76 0.8× 93 1.2× 5 728
Francesca Senic-Matuglia Italy 7 591 1.3× 88 0.5× 159 1.6× 344 3.6× 62 0.8× 9 767
Stéphanie Torrino France 12 390 0.9× 74 0.4× 79 0.8× 250 2.6× 84 1.1× 15 610

Countries citing papers authored by Martin Košař

Since Specialization
Citations

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

Fields of papers citing papers by Martin Košař

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Košař

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

All Works

9 of 9 papers shown
1.
Li, Xuexin, Yan‐Xing Chen, Hao‐Xiang Wu, et al.. (2024). Modulator of TMB-associated immune infiltration (MOTIF) predicts immunotherapy response and guides combination therapy. Science Bulletin. 69(6). 803–822. 3 indexed citations
2.
Kanellis, Dimitris C., Zdeněk Škrott, Bennie Lemmens, et al.. (2023). Actionable cancer vulnerability due to translational arrest, p53 aggregation and ribosome biogenesis stress evoked by the disulfiram metabolite CuET. Cell Death and Differentiation. 30(7). 1666–1678. 9 indexed citations
3.
Košař, Martin, Daniele Piccini, Marco Foiani, & Michele Giannattasio. (2021). A rapid method to visualize human mitochondrial DNA replication through rotary shadowing and transmission electron microscopy. Nucleic Acids Research. 49(21). e121–e121. 6 indexed citations
4.
Bennetzen, Martin V., Martin Košař, Jakob Bunkenborg, et al.. (2018). DNA damage-induced dynamic changes in abundance and cytosol-nuclear translocation of proteins involved in translational processes, metabolism, and autophagy. Cell Cycle. 17(17). 2146–2163. 6 indexed citations
5.
Maya‐Mendoza, Apolinar, Martin Košař, Arnaldur Hall, et al.. (2014). Myc and Ras oncogenes engage different energy metabolism programs and evoke distinct patterns of oxidative and DNA replication stress. Molecular Oncology. 9(3). 601–616. 128 indexed citations
6.
Kumar, Amit, Michele Mazzanti, Martin Mistrík, et al.. (2014). ATR Mediates a Checkpoint at the Nuclear Envelope in Response to Mechanical Stress. Cell. 158(3). 633–646. 169 indexed citations
7.
Šimková, Andrea Vetešníková, Martin Košař, Lukáš Vetešník, & Martina Vyskočilová. (2013). MHC genes and parasitism in Carassius gibelio, a diploid-triploid fish species with dual reproduction strategies. BMC Evolutionary Biology. 13(1). 122–122. 15 indexed citations
9.
Hubáčková, Soňa, Zora Nováková, Kateřina Krejčíková, et al.. (2010). Regulation of the PML tumor suppressor in drug-induced senescence of human normal and cancer cells by JAK/STAT-mediated signaling. Cell Cycle. 9(15). 3157–3171. 44 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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