Petko M. Petkov

4.6k total citations
50 papers, 2.8k citations indexed

About

Petko M. Petkov is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Petko M. Petkov has authored 50 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 13 papers in Genetics and 8 papers in Surgery. Recurrent topics in Petko M. Petkov's work include DNA Repair Mechanisms (22 papers), Genomics and Chromatin Dynamics (20 papers) and Epigenetics and DNA Methylation (11 papers). Petko M. Petkov is often cited by papers focused on DNA Repair Mechanisms (22 papers), Genomics and Chromatin Dynamics (20 papers) and Epigenetics and DNA Methylation (11 papers). Petko M. Petkov collaborates with scholars based in United States, Czechia and Italy. Petko M. Petkov's co-authors include Kenneth Paigen, Emil D. Parvanov, Mariana D. Dabeva, Christopher L. Baker, Michael Walker, David A. Shafritz, Ran Oren, Ethel Hurston, Ezio Laconi and Timothy Billings and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Petko M. Petkov

50 papers receiving 2.7k citations

Peers

Petko M. Petkov

GENET

SURGE

HEPAT

Arata Honda Japan

Chunsheng Han China

Klaudia Walter United Kingdom

Hyuna Yang United States

Pavlina Konstantinova Netherlands

Carol A. Sattler United States

W.S. Modi United States

Félix Recillas‐Targa Mexico

Domènec Farré Spain

Arata Honda Japan

Petko M. Petkov

1.1k ×0.6

510 ×0.5

GENET

71 ×0.1

122 ×0.3

SURGE

116 ×0.3

HEPAT

Citations per year, relative to Petko M. Petkov Petko M. Petkov (= 1×) peers Arata Honda

Countries citing papers authored by Petko M. Petkov

Since Specialization

Citations

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

Fields of papers citing papers by Petko M. Petkov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Petko M. Petkov. 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 Petko M. Petkov. The network helps show where Petko M. Petkov may publish in the future.

Co-authorship network of co-authors of Petko M. Petkov

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

All Works

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20 of 20 papers shown

Tyler, Anna L., Romy Kursawe, Annat Haber, et al.. (2023). Variation in histone configurations correlates with gene expression across nine inbred strains of mice. Genome Research. 33(6). 857–871. 1 indexed citations

Crevenna, Álvaro H., et al.. (2023). The RNA-binding protein FUS/TLS interacts with SPO11 and PRDM9 and localize at meiotic recombination hotspots. Cellular and Molecular Life Sciences. 80(4). 107–107. 4 indexed citations

Powers, Natalie R., Timothy Billings, Kenneth Paigen, & Petko M. Petkov. (2021). Differential effects of two catalytic mutations on full-length PRDM9 and its isolated PR/SET domain reveal a case of pseudomodularity. Genetics. 219(4). 1 indexed citations

Tian, Hui, Timothy Billings, & Petko M. Petkov. (2020). EWSR1 affects PRDM9-dependent histone 3 methylation and provides a link between recombination hotspots and the chromosome axis protein REC8. Molecular Biology of the Cell. 32(1). 1–14. 13 indexed citations

Bhattacharyya, Tanmoy, Michael Walker, Natalie R. Powers, et al.. (2019). Prdm9 and Meiotic Cohesin Proteins Cooperatively Promote DNA Double-Strand Break Formation in Mammalian Spermatocytes. Current Biology. 29(6). 1002–1018.e7. 30 indexed citations

Mihola, Ondřej, Florencia Pratto, Kevin Brick, et al.. (2019). Histone methyltransferase PRDM9 is not essential for meiosis in male mice. Genome Research. 29(7). 1078–1086. 31 indexed citations

Baker, Christopher L., Michael Walker, Seda Arat, et al.. (2018). Tissue-Specific Trans Regulation of the Mouse Epigenome. Genetics. 211(3). 831–845. 10 indexed citations

Paigen, Kenneth & Petko M. Petkov. (2018). PRDM9 and Its Role in Genetic Recombination. Trends in Genetics. 34(4). 291–300. 97 indexed citations

Parvanov, Emil D., Hui Tian, Timothy Billings, et al.. (2016). PRDM9 interactions with other proteins provide a link between recombination hotspots and the chromosomal axis in meiosis. Molecular Biology of the Cell. 28(3). 488–499. 70 indexed citations

10.

Sun, Fengyun, Yasuhiro Fujiwara, Laura G. Reinholdt, et al.. (2015). Nuclear localization of PRDM9 and its role in meiotic chromatin modifications and homologous synapsis. Chromosoma. 124(3). 397–415. 49 indexed citations

11.

Walker, Michael, Timothy Billings, Christopher L. Baker, et al.. (2015). Affinity-seq detects genome-wide PRDM9 binding sites and reveals the impact of prior chromatin modifications on mammalian recombination hotspot usage. Epigenetics & Chromatin. 8(1). 31–31. 55 indexed citations

12.

Paigen, Kenneth & Petko M. Petkov. (2010). Mammalian recombination hot spots: properties, control and evolution. Nature Reviews Genetics. 11(3). 221–233. 153 indexed citations

13.

Petkov, Petko M., et al.. (2006). Blood levels of some macro and trace elements in muscular dystrophy turkey-broilers reared under the condition of high animal welfare or stress. Bulgarian Portal for Open Science. 2 indexed citations

14.

Graber, Joel H., et al.. (2006). Patterns and mechanisms of genome organization in the mouse. Journal of Experimental Zoology Part A Comparative Experimental Biology. 305A(9). 683–688. 13 indexed citations

15.

Petkov, Petko M., Yueming Ding, Weidong Zhang, et al.. (2004). An Efficient SNP System for Mouse Genome Scanning and Elucidating Strain Relationships. Genome Research. 14(9). 1806–1811. 275 indexed citations

16.

Petkov, Petko M., et al.. (2004). Development of a SNP genotyping panel for genetic monitoring of the laboratory mouse. Genomics. 83(5). 902–911. 62 indexed citations

17.

Petkov, Petko M., et al.. (2001). Stem Cell Properties and Repopulation of the Rat Liver by Fetal Liver Epithelial Progenitor Cells. American Journal Of Pathology. 159(4). 1323–1334. 127 indexed citations

18.

Dabeva, Mariana D., Petko M. Petkov, Ran Oren, et al.. (2000). Proliferation and Differentiation of Fetal Liver Epithelial Progenitor Cells after Transplantation into Adult Rat Liver. American Journal Of Pathology. 156(6). 2017–2031. 128 indexed citations

19.

Oren, Ran, Mariana D. Dabeva, Petko M. Petkov, et al.. (1999). Restoration of Serum Albumin Levels in Nagase Analbuminemic Rats by Hepatocyte Transplantation. Hepatology. 29(1). 75–81. 58 indexed citations

20.

Petkov, Petko M., et al.. (1992). Purification and characterization of diaphorases from someDrosophila species. Biochemical Genetics. 30(5-6). 305–315. 2 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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