Darja Žgur‐Bertok

1.7k total citations
49 papers, 1.4k citations indexed

About

Darja Žgur‐Bertok is a scholar working on Endocrinology, Genetics and Molecular Biology. According to data from OpenAlex, Darja Žgur‐Bertok has authored 49 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Endocrinology, 24 papers in Genetics and 21 papers in Molecular Biology. Recurrent topics in Darja Žgur‐Bertok's work include Bacterial Genetics and Biotechnology (23 papers), Escherichia coli research studies (23 papers) and Antibiotic Resistance in Bacteria (18 papers). Darja Žgur‐Bertok is often cited by papers focused on Bacterial Genetics and Biotechnology (23 papers), Escherichia coli research studies (23 papers) and Antibiotic Resistance in Bacteria (18 papers). Darja Žgur‐Bertok collaborates with scholars based in Slovenia, United Kingdom and Netherlands. Darja Žgur‐Bertok's co-authors include Zdravko Podlesek, Marjanca Starčič Erjavec, Matija Rijavec, Matej Butala, Kristina Eleršič, Marija Gubina, M. Grabnar, Jos P. M. van Putten, Peter Mrak and Osnat Gillor and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Darja Žgur‐Bertok

48 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darja Žgur‐Bertok Slovenia 22 601 460 441 388 291 49 1.4k
Morten Gjermansen Denmark 14 1.4k 2.3× 456 1.0× 435 1.0× 379 1.0× 403 1.4× 14 1.8k
Yaara Oppenheimer‐Shaanan Israel 15 1.2k 2.0× 208 0.5× 435 1.0× 154 0.4× 615 2.1× 18 1.8k
Rebecca Munk Vejborg Denmark 19 784 1.3× 432 0.9× 227 0.5× 182 0.5× 225 0.8× 22 1.3k
Alexander Rakin Germany 24 649 1.1× 602 1.3× 917 2.1× 261 0.7× 206 0.7× 43 1.7k
Gottfried Wilharm Germany 22 666 1.1× 510 1.1× 409 0.9× 659 1.7× 183 0.6× 65 1.4k
Matthew B. Avison United Kingdom 28 1.4k 2.3× 989 2.1× 300 0.7× 1.2k 3.1× 292 1.0× 85 2.9k
Carlo Pazzani Italy 17 242 0.4× 313 0.7× 149 0.3× 220 0.6× 148 0.5× 42 868
Karin Hjort Sweden 17 688 1.1× 129 0.3× 319 0.7× 631 1.6× 233 0.8× 37 1.7k
Edmundo Calva Mexico 29 739 1.2× 929 2.0× 787 1.8× 280 0.7× 589 2.0× 77 2.3k
Henry S. Gibbons United States 20 724 1.2× 369 0.8× 550 1.2× 415 1.1× 196 0.7× 47 1.6k

Countries citing papers authored by Darja Žgur‐Bertok

Since Specialization
Citations

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

Fields of papers citing papers by Darja Žgur‐Bertok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darja Žgur‐Bertok. 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 Darja Žgur‐Bertok. The network helps show where Darja Žgur‐Bertok may publish in the future.

Co-authorship network of co-authors of Darja Žgur‐Bertok

This figure shows the co-authorship network connecting the top 25 collaborators of Darja Žgur‐Bertok. A scholar is included among the top collaborators of Darja Žgur‐Bertok 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 Darja Žgur‐Bertok. Darja Žgur‐Bertok 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.
Podlesek, Zdravko, et al.. (2016). Antibiotic induced bacterial lysis provides a reservoir of persisters. Antonie van Leeuwenhoek. 109(4). 523–528. 13 indexed citations
2.
Erjavec, Marjanca Starčič, et al.. (2015). Strain ŽP — the first bacterial conjugation-based “kill”–“anti-kill” antimicrobial system. Plasmid. 82. 28–34. 14 indexed citations
3.
Browning, Douglas F., et al.. (2015). Silencing of DNase Colicin E8 Gene Expression by a Complex Nucleoprotein Assembly Ensures Timely Colicin Induction. PLoS Genetics. 11(6). e1005354–e1005354. 14 indexed citations
4.
Pašić, Lejla, et al.. (2014). Two Tales of Prokaryotic Genomic Diversity: Escherichia coli and Halophiles. Food Technology and Biotechnology. 52(2). 158–169. 4 indexed citations
5.
Kovačič, Lidija, Adrijana Leonardi, Vesna Hodnik, et al.. (2013). Structural insight into LexA–RecA* interaction. Nucleic Acids Research. 41(21). 9901–9910. 36 indexed citations
6.
Žgur‐Bertok, Darja, et al.. (2013). Global transcriptional responses to the bacteriocin colicin M in Escherichia coli. BMC Microbiology. 13(1). 42–42. 21 indexed citations
7.
Butala, Matej, Daniel Klose, Vesna Hodnik, et al.. (2011). Interconversion between bound and free conformations of LexA orchestrates the bacterial SOS response. Nucleic Acids Research. 39(15). 6546–6557. 52 indexed citations
8.
Podlesek, Zdravko, et al.. (2010). Genes regulated by the Escherichia coli SOS repressor LexA exhibit heterogenous expression. BMC Microbiology. 10(1). 283–283. 65 indexed citations
9.
Eleršič, Kristina, et al.. (2010). Virulence Potential of Escherichia coli Isolates from Skin and Soft Tissue Infections. Journal of Clinical Microbiology. 48(9). 3462–3463. 5 indexed citations
10.
Eleršič, Kristina, et al.. (2009). Virulence Potential of Escherichia coli Isolates from Skin and Soft Tissue Infections. Journal of Clinical Microbiology. 47(6). 1811–1817. 112 indexed citations
11.
Butala, Matej, Zdravko Podlesek, & Darja Žgur‐Bertok. (2008). The SOS response affects thermoregulation of colicin K synthesis. FEMS Microbiology Letters. 283(1). 104–111. 5 indexed citations
12.
13.
Erjavec, Marjanca Starčič, et al.. (2007). Chloramphenicol- and tetracycline-resistant uropathogenic Escherichia coli (UPEC) exhibit reduced virulence potential. International Journal of Antimicrobial Agents. 30(5). 436–442. 21 indexed citations
14.
Butala, Matej, Milan Hodošček, Gregor Anderluh, Zdravko Podlesek, & Darja Žgur‐Bertok. (2007). Intradomain LexA rotation is a prerequisite for DNA binding specificity. FEBS Letters. 581(25). 4816–4820. 10 indexed citations
15.
Žgur‐Bertok, Darja. (2007). Phenotypic heterogeneity in bacterial populations. Acta agriculturae Slovenica. 90(1). 10 indexed citations
16.
Mrak, Peter, Zdravko Podlesek, Jos P. M. van Putten, & Darja Žgur‐Bertok. (2007). Heterogeneity in expression of the Escherichia coli colicin K activity gene cka is controlled by the SOS system and stochastic factors. Molecular Genetics and Genomics. 277(4). 391–401. 29 indexed citations
17.
Erjavec, Marjanca Starčič, Wim Gaastra, & Darja Žgur‐Bertok. (2002). tra region of the natural conjugative Escherichia coli plasmid pRKlOO is F-like. SHILAP Revista de lepidopterología. 45(1). 9–15. 1 indexed citations
18.
Podlesek, Zdravko, et al.. (1995). Bacillus licheniformis bacitracin‐resistance ABC transporter: relationship to mammalian multidrug resistance. Molecular Microbiology. 16(5). 969–976. 97 indexed citations
19.
Žgur‐Bertok, Darja, Jerneja Ambrožič Avguštin, Zdravko Podlesek, & M. Grabnar. (1994). Tn5431, a New Transposable Element Composed of Tn1721- and Tn3-like Genes. Plasmid. 32(1). 95–99. 4 indexed citations
20.
Žgur‐Bertok, Darja, et al.. (1990). Aerobactin uptake system, ColV production, and drug resistance encoded by a plasmid from an urinary tract infection Escherichia coli strain of human origin. Canadian Journal of Microbiology. 36(4). 297–299. 12 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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