Anna Malkova

5.4k total citations
56 papers, 4.2k citations indexed

About

Anna Malkova is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Anna Malkova has authored 56 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 12 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Anna Malkova's work include DNA Repair Mechanisms (52 papers), CRISPR and Genetic Engineering (28 papers) and Genomics and Chromatin Dynamics (19 papers). Anna Malkova is often cited by papers focused on DNA Repair Mechanisms (52 papers), CRISPR and Genetic Engineering (28 papers) and Genomics and Chromatin Dynamics (19 papers). Anna Malkova collaborates with scholars based in United States, Italy and Taiwan. Anna Malkova's co-authors include James E. Haber, Grzegorz Ira, Marco Foiani, Angela K. Deem, E L Ivanov, Cynthia J. Sakofsky, Giordano Liberi, Beth Osia, Juraj Kramara and Maria L. Naylor and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Anna Malkova

55 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Malkova United States 35 3.9k 811 700 549 498 56 4.2k
Giordano Liberi Italy 27 4.2k 1.1× 491 0.6× 892 1.3× 369 0.7× 879 1.8× 38 4.4k
Neal Sugawara United States 26 3.3k 0.9× 617 0.8× 499 0.7× 320 0.6× 302 0.6× 32 3.5k
Frédéric Pâques France 28 4.5k 1.2× 840 1.0× 422 0.6× 976 1.8× 287 0.6× 44 4.8k
Lee H. Wong Australia 33 3.4k 0.9× 1.4k 1.8× 297 0.4× 710 1.3× 491 1.0× 57 4.3k
Nancy M. Hollingsworth United States 32 4.0k 1.0× 631 0.8× 353 0.5× 309 0.6× 1.2k 2.5× 50 4.2k
Yunmei Ma United States 18 3.0k 0.8× 310 0.4× 526 0.8× 365 0.7× 266 0.5× 22 3.4k
Kirill S. Lobachev United States 28 2.9k 0.7× 769 0.9× 282 0.4× 619 1.1× 332 0.7× 40 3.1k
Leonard Wu United Kingdom 20 2.7k 0.7× 597 0.7× 793 1.1× 230 0.4× 313 0.6× 22 2.8k
Michael Lichten United States 36 5.7k 1.5× 1.3k 1.6× 510 0.7× 837 1.5× 1.0k 2.1× 61 6.0k
Daniele Fachinetti France 31 3.0k 0.8× 1.3k 1.6× 333 0.5× 521 0.9× 1.0k 2.0× 58 3.5k

Countries citing papers authored by Anna Malkova

Since Specialization
Citations

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

Fields of papers citing papers by Anna Malkova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Malkova

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Malkova. A scholar is included among the top collaborators of Anna Malkova 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 Anna Malkova. Anna Malkova 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.
Liu, Liping, et al.. (2025). Genome-wide screen reveals dependence of break induced replication on several distinct checkpoints. Nature Communications. 17(1). 494–494.
2.
Comeron, Josep M., et al.. (2024). Alternative Lengthening of Telomeres in Yeast: Old Questions and New Approaches. Biomolecules. 14(1). 113–113. 4 indexed citations
3.
Liu, Liping, et al.. (2023). Identification of the nuclear localization signal in the Saccharomyces cerevisiae Pif1 DNA helicase. PLoS Genetics. 19(7). e1010853–e1010853. 5 indexed citations
4.
Старшинова, Анна, Anna Malkova, Igor Kudryavtsev, et al.. (2022). Tuberculosis and autoimmunity: Common features. Tuberculosis. 134. 102202–102202. 18 indexed citations
5.
Osia, Beth, et al.. (2022). Migrating bubble synthesis promotes mutagenesis through lesions in its template. Nucleic Acids Research. 50(12). 6870–6889. 8 indexed citations
6.
Liu, Liping & Anna Malkova. (2022). Break-induced replication: unraveling each step. Trends in Genetics. 38(7). 752–765. 39 indexed citations
7.
Yan, Zhenxin, et al.. (2022). Measuring the contributions of helicases to break-induced replication. Methods in enzymology on CD-ROM/Methods in enzymology. 672. 339–368. 1 indexed citations
8.
Sulovari, Arvis, Ryusuke Suzuki, Beth Osia, et al.. (2021). Quantitative assessment reveals the dominance of duplicated sequences in germline-derived extrachromosomal circular DNA. Proceedings of the National Academy of Sciences. 118(47). 15 indexed citations
9.
Wu, Xiaohua & Anna Malkova. (2021). Break-induced replication mechanisms in yeast and mammals. Current Opinion in Genetics & Development. 71. 163–170. 33 indexed citations
10.
Comeron, Josep M., et al.. (2021). A unified alternative telomere-lengthening pathway in yeast survivor cells. Molecular Cell. 81(8). 1816–1829.e5. 32 indexed citations
11.
Osia, Beth, Rajula Elango, Juraj Kramara, Steven A. Roberts, & Anna Malkova. (2020). Investigation of Break-Induced Replication in Yeast. Methods in molecular biology. 2153. 307–328. 2 indexed citations
12.
Elango, Rajula, et al.. (2018). Investigation of Break-Induced Replication in Yeast. Methods in enzymology on CD-ROM/Methods in enzymology. 601. 161–203. 9 indexed citations
13.
Sakofsky, Cynthia J., Sandeep Ayyar, Angela K. Deem, et al.. (2015). Translesion Polymerases Drive Microhomology-Mediated Break-Induced Replication Leading to Complex Chromosomal Rearrangements. Molecular Cell. 60(6). 860–872. 105 indexed citations
14.
Malkova, Anna & Grzegorz Ira. (2013). Break-induced replication: functions and molecular mechanism. Current Opinion in Genetics & Development. 23(3). 271–279. 139 indexed citations
15.
Wilson, Marenda A., Youngho Kwon, Yuanyuan Xu, et al.. (2013). Pif1 helicase and Polδ promote recombination-coupled DNA synthesis via bubble migration. Nature. 502(7471). 393–396. 254 indexed citations
16.
Ma, Wenjian, et al.. (2009). RAD50 Is Required for Efficient Initiation of Resection and Recombinational Repair at Random, γ-Induced Double-Strand Break Ends. PLoS Genetics. 5(9). e1000656–e1000656. 40 indexed citations
17.
Lemoine, Francene J., et al.. (2007). Inverted DNA Repeats Channel Repair of Distant Double-Strand Breaks into Chromatid Fusions and Chromosomal Rearrangements. Molecular and Cellular Biology. 27(7). 2601–2614. 89 indexed citations
18.
Malkova, Anna, Maria L. Naylor, Miyuki Yamaguchi, Grzegorz Ira, & James E. Haber. (2005). RAD51-Dependent Break-Induced Replication Differs in Kinetics and Checkpoint Responses from RAD51-Mediated Gene Conversion. Molecular and Cellular Biology. 25(3). 933–944. 141 indexed citations
19.
Malkova, Anna, Laurence Signon, Christopher Schaefer, et al.. (2001). RAD51-independent break-induced replication to repair a broken chromosome depends on a distant enhancer site. Genes & Development. 15(9). 1055–1060. 60 indexed citations
20.
Lee, Sang Eun, Achille Pellicioli, Anna Malkova, Marco Foiani, & James E. Haber. (2001). The Saccharomyces recombination protein Tid1p is required for adaptation from G2/M arrest induced by a double-strand break. Current Biology. 11(13). 1053–1057. 59 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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