Paz Polak

43.2k total citations · 1 hit paper
41 papers, 3.3k citations indexed

About

Paz Polak is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Paz Polak has authored 41 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cancer Research, 21 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Paz Polak's work include Cancer Genomics and Diagnostics (25 papers), DNA Repair Mechanisms (10 papers) and Genetic factors in colorectal cancer (8 papers). Paz Polak is often cited by papers focused on Cancer Genomics and Diagnostics (25 papers), DNA Repair Mechanisms (10 papers) and Genetic factors in colorectal cancer (8 papers). Paz Polak collaborates with scholars based in United States, Canada and Croatia. Paz Polak's co-authors include Amnon Koren, Gad Getz, Michael S. Lawrence, Eytan Domany, Jaegil Kim, Atanas Kamburov, Peter F. Arndt, Shamil Sunyaev, Rosa Karlić and Nicholas J. Haradhvala and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Paz Polak

39 papers receiving 3.3k citations

Hit Papers

RNA sequence analysis reveals macroscopic somatic clonal ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paz Polak United States 21 2.3k 1.3k 774 576 446 41 3.3k
Svitlana Tyekucheva United States 28 1.6k 0.7× 878 0.7× 560 0.7× 428 0.7× 357 0.8× 88 2.8k
Mhairi Marshall Australia 16 3.3k 1.4× 1.9k 1.5× 838 1.1× 446 0.8× 296 0.7× 25 4.9k
Frank O. Fackelmayer Germany 27 2.9k 1.3× 1.5k 1.2× 523 0.7× 772 1.3× 413 0.9× 38 4.1k
Jesse J. Salk United States 23 1.8k 0.8× 1.5k 1.2× 566 0.7× 427 0.7× 346 0.8× 51 2.9k
Tatiana Popova France 20 1.5k 0.7× 899 0.7× 532 0.7× 831 1.4× 256 0.6× 39 2.4k
Thomas LaFramboise United States 27 2.2k 0.9× 701 0.5× 715 0.9× 362 0.6× 176 0.4× 83 3.0k
Diane Esposito United States 10 1.7k 0.7× 1.5k 1.2× 636 0.8× 720 1.3× 241 0.5× 12 2.8k
Valentina Boeva France 24 1.7k 0.7× 769 0.6× 676 0.9× 318 0.6× 182 0.4× 46 2.4k
Barbara Tabak United States 7 1.9k 0.8× 761 0.6× 416 0.5× 344 0.6× 172 0.4× 10 2.5k
Peter M. Haverty United States 29 2.4k 1.0× 677 0.5× 389 0.5× 846 1.5× 277 0.6× 38 3.3k

Countries citing papers authored by Paz Polak

Since Specialization
Citations

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

Fields of papers citing papers by Paz Polak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paz Polak

This figure shows the co-authorship network connecting the top 25 collaborators of Paz Polak. A scholar is included among the top collaborators of Paz Polak 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 Paz Polak. Paz Polak 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.
Panja, Sukanya, Aditya Deshpande, Huasong Tian, et al.. (2025). Passenger mutations link cellular origin and transcriptional identity in human lung adenocarcinomas. Nature Genetics. 57(12). 3066–3074.
2.
Giotti, Bruno, Elvin Wagenblast, Dolores Hambardzumyan, et al.. (2025). Learning the cellular origins across cancers using single-cell chromatin landscapes. Nature Communications. 16(1). 8301–8301. 3 indexed citations
3.
Mutetwa, Tinaye, Yuxin Liu, Richard Silvera, et al.. (2024). Host Nuclear Genome Copy Number Variations Identify High-Risk Anal Precancers in People Living With HIV. JAIDS Journal of Acquired Immune Deficiency Syndromes. 96(2). 190–195.
4.
Cheng, Alexandre Pellan, Matthew P. Cheng, Joan Sesing Lenz, et al.. (2022). Cell-free DNA profiling informs all major complications of hematopoietic cell transplantation. Proceedings of the National Academy of Sciences. 119(4). 29 indexed citations
5.
Fujita, Masashi, Kirsten Kübler, Paz Polak, et al.. (2022). COOBoostR: An Extreme Gradient Boosting-Based Tool for Robust Tissue or Cell-of-Origin Prediction of Tumors. Life. 13(1). 71–71. 2 indexed citations
6.
Stupp, Doron, et al.. (2022). Machine-learning of complex evolutionary signals improves classification of SNVs. NAR Genomics and Bioinformatics. 4(2). lqac025–lqac025. 4 indexed citations
7.
Hamel, Nancy, et al.. (2022). The Great Majority of Homologous Recombination Repair-Deficient Tumors Are Accounted for by Established Causes. Frontiers in Genetics. 13. 852159–852159. 5 indexed citations
8.
Singh, Harshabad, Jason L. Hornick, Shariq Madha, et al.. (2021). Hybrid Stomach-Intestinal Chromatin States Underlie Human Barrett’s Metaplasia. Gastroenterology. 161(3). 924–939.e11. 23 indexed citations
9.
Zayed, Nadia, Manon de Ladurantaye, Nancy Hamel, et al.. (2021). Current gene panels account for nearly all homologous recombination repair-associated multiple-case breast cancer families. npj Breast Cancer. 7(1). 109–109. 6 indexed citations
10.
Koga, Yusuke, Hanbing Song, Zachary R. Chalmers, et al.. (2020). Genomic Profiling of Prostate Cancers from Men with African and European Ancestry. Clinical Cancer Research. 26(17). 4651–4660. 58 indexed citations
11.
Fujita, Masashi, Rosa Karlić, Ruidong Xue, et al.. (2020). Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer. Heliyon. 6(2). e03350–e03350. 29 indexed citations
12.
Yizhak, Keren, François Aguet, Jaegil Kim, et al.. (2019). RNA sequence analysis reveals macroscopic somatic clonal expansion across normal tissues. Science. 364(6444). 310 indexed citations breakdown →
13.
Haradhvala, Nicholas J., Jaegil Kim, Yosef E. Maruvka, et al.. (2018). Distinct mutational signatures characterize concurrent loss of polymerase proofreading and mismatch repair. Nature Communications. 9(1). 1746–1746. 114 indexed citations
14.
Kim, Jaegil, Kent W. Mouw, Paz Polak, et al.. (2016). Somatic ERCC2 mutations are associated with a distinct genomic signature in urothelial tumors. Nature Genetics. 48(6). 600–606. 233 indexed citations
15.
Francioli, Laurent C., Paz Polak, Amnon Koren, et al.. (2015). Genome-wide patterns and properties of de novo mutations in humans. Nature Genetics. 47(7). 822–826. 238 indexed citations
16.
Kazanov, Marat D., Steven A. Roberts, Paz Polak, et al.. (2015). APOBEC-Induced Cancer Mutations Are Uniquely Enriched in Early-Replicating, Gene-Dense, and Active Chromatin Regions. Cell Reports. 13(6). 1103–1109. 68 indexed citations
17.
Kasar, Siddha, Jaegil Kim, Reina Improgo, et al.. (2015). Whole-genome sequencing reveals activation-induced cytidine deaminase signatures during indolent chronic lymphocytic leukaemia evolution. Nature Communications. 6(1). 8866–8866. 138 indexed citations
18.
Koren, Amnon, Paz Polak, James Nemesh, et al.. (2012). Differential Relationship of DNA Replication Timing to Different Forms of Human Mutation and Variation. The American Journal of Human Genetics. 91(6). 1033–1040. 161 indexed citations
19.
Polak, Paz, et al.. (2010). The evolution of transcription-associated biases of mutations across vertebrates. BMC Evolutionary Biology. 10(1). 187–187. 19 indexed citations
20.
Polak, Paz & Peter F. Arndt. (2008). Transcription induces strand-specific mutations at the 5′ end of human genes. Genome Research. 18(8). 1216–1223. 78 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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