Eva Veselá

471 total citations
9 papers, 349 citations indexed

About

Eva Veselá is a scholar working on Molecular Biology, Oncology and Otorhinolaryngology. According to data from OpenAlex, Eva Veselá has authored 9 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Otorhinolaryngology. Recurrent topics in Eva Veselá's work include DNA Repair Mechanisms (5 papers), Epigenetics and DNA Methylation (2 papers) and Head and Neck Cancer Studies (2 papers). Eva Veselá is often cited by papers focused on DNA Repair Mechanisms (5 papers), Epigenetics and DNA Methylation (2 papers) and Head and Neck Cancer Studies (2 papers). Eva Veselá collaborates with scholars based in Czechia, Denmark and United Kingdom. Eva Veselá's co-authors include Martin Mistrík, Jan Klozar, Martina Saláková, Eva Hamšíková, Ruth Tachezy, Jan Betka, Jana Šmahelová, Jiří Bártek, Viera Ludvı́ková and Bohumír Procházka and has published in prestigious journals such as Nature Communications, Genes & Development and Scientific Reports.

In The Last Decade

Eva Veselá

9 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Veselá Czechia	7	184	125	113	65	55	9	349
Wei-Wen Jiang United States	6	288 1.6×	136 1.1×	66 0.6×	82 1.3×	59 1.1×	6	461
Marcia Davis Australia	9	85 0.5×	55 0.4×	229 2.0×	22 0.3×	188 3.4×	10	404
Vali A. Papadimitrakopoulou United States	7	130 0.7×	92 0.7×	116 1.0×	52 0.8×	5 0.1×	10	292
Monique Ummelen Netherlands	10	146 0.8×	24 0.2×	69 0.6×	64 1.0×	141 2.6×	20	331
Natália R. Costa Portugal	10	161 0.9×	25 0.2×	62 0.5×	77 1.2×	81 1.5×	15	385
Shahla Bari United States	8	81 0.4×	35 0.3×	125 1.1×	29 0.4×	22 0.4×	25	262
Natalie Naranjo Galloni Canada	4	250 1.4×	72 0.6×	47 0.4×	32 0.5×	7 0.1×	4	385
Anne-Katrin Emde Germany	2	91 0.5×	66 0.5×	53 0.5×	30 0.5×	26 0.5×	2	170
Prajish Iyer United States	7	91 0.5×	13 0.1×	57 0.5×	33 0.5×	33 0.6×	19	197
Bo-Hua Su China	10	202 1.1×	9 0.1×	82 0.7×	64 1.0×	15 0.3×	17	313

Countries citing papers authored by Eva Veselá

Since Specialization

Citations

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

Fields of papers citing papers by Eva Veselá

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Veselá

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

All Works

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9 of 9 papers shown

1.

Pennycook, Betheney R., Eva Veselá, Tanya Singh, et al.. (2020). E2F-dependent transcription determines replication capacity and S phase length. Nature Communications. 11(1). 3503–3503. 31 indexed citations

2.

Veselá, Eva, et al.. (2017). Common Chemical Inductors of Replication Stress: Focus on Cell‐Based Studies. Biomolecules. 7(1). 19–19. 75 indexed citations

3.

Mistrík, Martin, Eva Veselá, Tomáš Fürst, et al.. (2016). Cells and Stripes: A novel quantitative photo-manipulation technique. Scientific Reports. 6(1). 19567–19567. 16 indexed citations

4.

Veselá, Eva, Jiří Voller, Masayuki Yamada, et al.. (2016). Role of DNA Repair Factor Xeroderma Pigmentosum Protein Group C in Response to Replication Stress As Revealed by DNA Fragile Site Affinity Chromatography and Quantitative Proteomics. Journal of Proteome Research. 15(12). 4505–4517. 3 indexed citations

5.

Yamada, Masayuki, Kenji Watanabe, Martin Mistrík, et al.. (2013). ATR–Chk1–APC/C^Cdh1-dependent stabilization of Cdc7–ASK (Dbf4) kinase is required for DNA lesion bypass under replication stress. Genes & Development. 27(22). 2459–2472. 62 indexed citations

6.

Tachezy, Ruth, Martina Saláková, Bohumír Procházka, et al.. (2010). HPV involvement in tonsillar cancer: Prognostic significance and clinically relevant markers. International Journal of Cancer. 129(1). 101–110. 62 indexed citations

7.

Pejčoch, M, Petr Pazdiora, Jaromír Eiselt, et al.. (2010). Seroprevalence of hantavirus antibodies among chronic hemodialysis patients in the Czech Republic.. PubMed. 59(1). 48–51. 1 indexed citations

8.

Klozar, Jan, Martina Saláková, Jana Šmahelová, et al.. (2007). HPV status and regional metastasis in the prognosis of oral and oropharyngeal cancer. European Archives of Oto-Rhino-Laryngology. 265(S1). 75–82. 80 indexed citations

9.

Novák, Ivan, Vladimír Šrámek, Zdeněk Rušavý, et al.. (1997). Glutamine and Other Amino Acid Losses During Continuous Venovenous Hemodiafiltration. Artificial Organs. 21(5). 359–363. 19 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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