Dana Kocíncová

1.2k total citations
19 papers, 923 citations indexed

About

Dana Kocíncová is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, Dana Kocíncová has authored 19 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Epidemiology and 8 papers in Molecular Medicine. Recurrent topics in Dana Kocíncová's work include Antibiotic Resistance in Bacteria (8 papers), Mycobacterium research and diagnosis (6 papers) and Bacterial Genetics and Biotechnology (6 papers). Dana Kocíncová is often cited by papers focused on Antibiotic Resistance in Bacteria (8 papers), Mycobacterium research and diagnosis (6 papers) and Bacterial Genetics and Biotechnology (6 papers). Dana Kocíncová collaborates with scholars based in Canada, France and United States. Dana Kocíncová's co-authors include Joseph S. Lam, Jerry D. King, Erin L. Westman, Youai Hao, Salim T. Islam, Véronique L. Taylor, Jean‐Marc Reyrat, Lucía Fernández, Daniel Euphrasie and Carolina Alvarez‐Ortega and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Bacteriology.

In The Last Decade

Dana Kocíncová

18 papers receiving 914 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana Kocíncová Canada 13 513 320 238 233 198 19 923
Umender Sharma India 19 526 1.0× 178 0.6× 234 1.0× 173 0.7× 272 1.4× 28 960
Margareta Tuckman United States 19 355 0.7× 424 1.3× 190 0.8× 153 0.7× 281 1.4× 24 1.0k
Jeremy A. Iwashkiw Canada 12 427 0.8× 261 0.8× 189 0.8× 108 0.5× 139 0.7× 13 865
Martine Fourgeaud France 11 450 0.9× 375 1.2× 182 0.8× 302 1.3× 403 2.0× 16 1.1k
Christoph M. Ernst Germany 13 629 1.2× 359 1.1× 133 0.6× 147 0.6× 108 0.5× 17 1.1k
Hengliang Wang China 20 554 1.1× 110 0.3× 237 1.0× 147 0.6× 121 0.6× 88 1.1k
Michael D. LaFleur United States 9 665 1.3× 279 0.9× 87 0.4× 249 1.1× 239 1.2× 12 1.2k
Joseph M. Boll United States 13 475 0.9× 514 1.6× 128 0.5× 240 1.0× 128 0.6× 21 994
Pavel Branny Czechia 22 869 1.7× 153 0.5× 193 0.8× 458 2.0× 371 1.9× 45 1.5k
Nathalie T. Reichmann Portugal 11 459 0.9× 180 0.6× 142 0.6× 269 1.2× 74 0.4× 11 816

Countries citing papers authored by Dana Kocíncová

Since Specialization
Citations

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

Fields of papers citing papers by Dana Kocíncová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Kocíncová

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

All Works

19 of 19 papers shown
1.
Tchesnokov, Egor P., Laura J. Stevens, Tia M. Hughes, et al.. (2025). Mechanism and spectrum of inhibition of viral polymerases by 2′-deoxy-2′-β-fluoro-4′-azidocytidine or azvudine. PubMed. 2(3). ugaf029–ugaf029.
2.
Gordon, Calvin J., Simon Walker, Egor P. Tchesnokov, et al.. (2024). Mechanism and spectrum of inhibition of a 4′-cyano modified nucleotide analog against diverse RNA polymerases of prototypic respiratory RNA viruses. Journal of Biological Chemistry. 300(8). 107514–107514. 4 indexed citations
3.
4.
Tchesnokov, Egor P., Calvin J. Gordon, Emma Woolner, et al.. (2021). Correction: Template-dependent inhibition of coronavirus RNA-dependent RNA polymerase by remdesivir reveals a second mechanism of action. Journal of Biological Chemistry. 297(2). 101048–101048. 2 indexed citations
5.
6.
Hao, Youai, et al.. (2013). Five New Genes Are Important for Common Polysaccharide Antigen Biosynthesis in Pseudomonas aeruginosa. mBio. 4(1). e00631–12. 18 indexed citations
7.
8.
Fernández, Lucía, Carolina Alvarez‐Ortega, Irith Wiegand, et al.. (2012). Characterization of the Polymyxin B Resistome of Pseudomonas aeruginosa. Antimicrobial Agents and Chemotherapy. 57(1). 110–119. 119 indexed citations
9.
Lam, Joseph S., Véronique L. Taylor, Salim T. Islam, Youai Hao, & Dana Kocíncová. (2011). Genetic and Functional Diversity of Pseudomonas aeruginosa Lipopolysaccharide. Frontiers in Microbiology. 2. 118–118. 211 indexed citations
10.
Kocíncová, Dana & Joseph S. Lam. (2011). Structural diversity of the core oligosaccharide domain of Pseudomonas aeruginosa lipopolysaccharide. Biochemistry (Moscow). 76(7). 755–760. 23 indexed citations
11.
Kocíncová, Dana, Youai Hao, Evgeny Vinogradov, & Joseph S. Lam. (2011). Evidence that WapB Is a 1,2-Glucosyltransferase of Pseudomonas aeruginosa Involved in Lipopolysaccharide Outer Core Biosynthesis. Journal of Bacteriology. 193(11). 2708–2716. 9 indexed citations
12.
King, Jerry D., Dana Kocíncová, Erin L. Westman, & Joseph S. Lam. (2009). Review: Lipopolysaccharide biosynthesis in Pseudomonas aeruginosa. Innate Immunity. 15(5). 261–312. 243 indexed citations
13.
Chen, Jeffrey M., Huiping Ren, James E. Shaw, et al.. (2008). Lsr2 of Mycobacterium tuberculosis is a DNA-bridging protein. Nucleic Acids Research. 36(7). 2123–2135. 75 indexed citations
14.
Provvedi, Roberta, Dana Kocíncová, Valentina Donà, et al.. (2008). SigF Controls Carotenoid Pigment Production and Affects Transformation Efficiency and Hydrogen Peroxide Sensitivity in Mycobacterium smegmatis. Journal of Bacteriology. 190(23). 7859–7863. 35 indexed citations
15.
Kocíncová, Dana, Anil Kumar Singh, Jean‐Luc Béretti, et al.. (2008). Spontaneous transposition of IS1096 or ISMsm3 leads to glycopeptidolipid overproduction and affects surface properties in Mycobacterium smegmatis. Tuberculosis. 88(5). 390–398. 38 indexed citations
16.
Sondén, Berit, Dana Kocíncová, Caroline Deshayes, et al.. (2005). Gap, a mycobacterial specific integral membrane protein, is required for glycolipid transport to the cell surface. Molecular Microbiology. 58(2). 426–440. 68 indexed citations
17.
Drahovská, Hana, Lívia Slobodníková, Dana Kocíncová, et al.. (2004). Antibiotic resistance and virulence factors among clinical and food enterococci isolated in Slovakia. Folia Microbiologica. 49(6). 763–768. 31 indexed citations
18.
Kocíncová, Dana, Berit Sondén, Yann Bordat, et al.. (2004). The Hydrophobic Domain of the Mycobacterial Erp Protein Is Not Essential for the Virulence of Mycobacterium tuberculosis. Infection and Immunity. 72(4). 2379–2382. 6 indexed citations
19.
Drahovská, Hana, Dana Kocíncová, Milan Seman, & Ján Turňa. (2002). PCR-Based methods for identification ofEnterococcus species. Folia Microbiologica. 47(6). 649–653. 14 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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