Mário Špı́rek

978 total citations
27 papers, 737 citations indexed

About

Mário Špı́rek is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Mário Špı́rek has authored 27 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Organic Chemistry. Recurrent topics in Mário Špı́rek's work include DNA Repair Mechanisms (14 papers), Fungal and yeast genetics research (11 papers) and CRISPR and Genetic Engineering (6 papers). Mário Špı́rek is often cited by papers focused on DNA Repair Mechanisms (14 papers), Fungal and yeast genetics research (11 papers) and CRISPR and Genetic Engineering (6 papers). Mário Špı́rek collaborates with scholars based in Czechia, United States and Austria. Mário Špı́rek's co-authors include Ronald A. Butow, Zhengchang Liu, Janet M. Thornton, Lumír Krejčí, Takayuki Sekito, Simon J. Boulton, Martin R.G. Taylor, Lucy Collinson, Ondrej Beláň and Raffaella Carzaniga and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Mário Špı́rek

27 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mário Špı́rek Czechia 17 654 111 73 65 57 27 737
Thiago Vargas Seraphim Brazil 15 540 0.8× 47 0.4× 82 1.1× 21 0.3× 40 0.7× 28 661
Kotaro Fujii United States 10 918 1.4× 79 0.7× 47 0.6× 47 0.7× 55 1.0× 14 1.0k
Masahiro Uritani Japan 18 735 1.1× 62 0.6× 254 3.5× 88 1.4× 81 1.4× 31 962
Alberto Riera United Kingdom 15 988 1.5× 73 0.7× 154 2.1× 123 1.9× 170 3.0× 21 1.1k
Christophe Dez France 16 1.0k 1.5× 75 0.7× 39 0.5× 58 0.9× 61 1.1× 25 1.1k
Sung-Lim Yu South Korea 8 567 0.9× 47 0.4× 40 0.5× 63 1.0× 57 1.0× 14 624
Bernhard Dichtl Switzerland 20 1.5k 2.3× 47 0.4× 54 0.7× 176 2.7× 76 1.3× 27 1.6k
Pei-Yun Jenny Wu France 11 653 1.0× 46 0.4× 74 1.0× 61 0.9× 50 0.9× 19 823
Sang Chul Shin South Korea 16 391 0.6× 89 0.8× 66 0.9× 91 1.4× 67 1.2× 49 607
Kin‐ichiro Kominami Japan 13 765 1.2× 93 0.8× 275 3.8× 142 2.2× 42 0.7× 16 795

Countries citing papers authored by Mário Špı́rek

Since Specialization
Citations

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

Fields of papers citing papers by Mário Špı́rek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mário Špı́rek

This figure shows the co-authorship network connecting the top 25 collaborators of Mário Špı́rek. A scholar is included among the top collaborators of Mário Špı́rek 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 Mário Špı́rek. Mário Špı́rek 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.
Špı́rek, Mário, et al.. (2024). Physical interaction with Spo11 mediates the localisation of Mre11 to chromatin in meiosis and promotes its nuclease activity. Nucleic Acids Research. 52(8). 4328–4343. 4 indexed citations
2.
Son, Mi‐Young, Ondrej Beláň, Mário Špı́rek, et al.. (2024). RAD51 separation of function mutation disables replication fork maintenance but preserves DSB repair. iScience. 27(4). 109524–109524. 2 indexed citations
3.
Špı́rek, Mário, et al.. (2024). Mechanism of BCDX2-mediated RAD51 nucleation on short ssDNA stretches and fork DNA. Nucleic Acids Research. 52(19). 11738–11752. 3 indexed citations
4.
Altmannová, Veronika, Mário Špı́rek, Tereza Clarence, et al.. (2022). The role of bivalent ions in the regulation of D-loop extension mediated by DMC1 during meiotic recombination. iScience. 25(11). 105439–105439. 3 indexed citations
5.
Špı́rek, Mário, Martin R.G. Taylor, Ondrej Beláň, Simon J. Boulton, & Lumír Krejčí. (2021). Nucleotide proofreading functions by nematode RAD51 paralogs facilitate optimal RAD51 filament function. Nature Communications. 12(1). 5545–5545. 7 indexed citations
6.
Xue, Chaoyou, Justin B. Steinfeld, Weixing Zhao, et al.. (2020). Single-molecule visualization of human RECQ5 interactions with single-stranded DNA recombination intermediates. Nucleic Acids Research. 49(1). 285–305. 16 indexed citations
7.
Booth, James A., Mário Špı́rek, A. Tekle, et al.. (2020). Antibiotic-induced DNA damage results in a controlled loss of pH homeostasis and genome instability. Scientific Reports. 10(1). 19422–19422. 21 indexed citations
8.
Zadorozhny, Karina, Vincenzo Sannino, Ondrej Beláň, et al.. (2017). Fanconi-Anemia-Associated Mutations Destabilize RAD51 Filaments and Impair Replication Fork Protection. Cell Reports. 21(2). 333–340. 52 indexed citations
9.
Taylor, Martin R.G., Mário Špı́rek, Chu Jian, et al.. (2016). A Polar and Nucleotide-Dependent Mechanism of Action for RAD51 Paralogs in RAD51 Filament Remodeling. Molecular Cell. 64(5). 926–939. 38 indexed citations
10.
Taylor, Martin R.G., Mário Špı́rek, Kathy R. Chaurasiya, et al.. (2015). Rad51 Paralogs Remodel Pre-synaptic Rad51 Filaments to Stimulate Homologous Recombination. Cell. 162(2). 271–286. 108 indexed citations
11.
Sobolčiak, Patrik, Mário Špı́rek, Jaroslav Katrlı́k, et al.. (2013). Light‐Switchable Polymer from Cationic to Zwitterionic Form: Synthesis, Characterization, and Interactions with DNA and Bacterial Cells. Macromolecular Rapid Communications. 34(8). 635–639. 32 indexed citations
12.
Špı́rek, Mário, Zsigmond Benkő, Cornelia Rumpf, et al.. (2010). S. pombegenome deletion project: An update. Cell Cycle. 9(12). 2399–2402. 31 indexed citations
13.
Čipák, Luboš, Mário Špı́rek, Maria Novatchkova, et al.. (2009). An improved strategy for tandem affinity purification‐tagging of Schizosaccharomyces pombe genes. PROTEOMICS. 9(20). 4825–4828. 31 indexed citations
14.
Špı́rek, Mário, et al.. (2009). SUMOylation is required for normal development of linear elements and wild-type meiotic recombination in Schizosaccharomyces pombe. Chromosoma. 119(1). 59–72. 26 indexed citations
15.
Gregáň, Juraj, Mário Špı́rek, & Cornelia Rumpf. (2008). Solving the shugoshin puzzle. Trends in Genetics. 24(5). 205–207. 17 indexed citations
16.
Liu, Zhengchang, Mário Špı́rek, Janet M. Thornton, & Ronald A. Butow. (2005). A Novel Degron-mediated Degradation of the RTG Pathway Regulator, Mks1p, by SCFGrr1. Molecular Biology of the Cell. 16(10). 4893–4904. 38 indexed citations
17.
Ferreira-Júnior, José Ribamar, Mário Špı́rek, Zhengchang Liu, & Ronald A. Butow. (2005). Interaction between Rtg2p and Mks1p in the regulation of the RTG pathway of Saccharomyces cerevisiae. Gene. 354. 2–8. 21 indexed citations
18.
Liu, Zhengchang, Takayuki Sekito, Mário Špı́rek, Janet M. Thornton, & Ronald A. Butow. (2003). Retrograde Signaling Is Regulated by the Dynamic Interaction between Rtg2p and Mks1p. Molecular Cell. 12(2). 401–411. 114 indexed citations
19.
Špı́rek, Mário, et al.. (2002). GC clusters and the stability of mitochondrial genomes ofSaccharomyces cerevisiae and related yeasts. Folia Microbiologica. 47(3). 263–270. 5 indexed citations
20.
Špı́rek, Mário, et al.. (2000). Mitochondria—Tool for taxonomic identification of yeasts fromSaccharomyces sensu stricto complex. Folia Microbiologica. 45(2). 99–106. 6 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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