Masato Ooka

671 total citations
24 papers, 410 citations indexed

About

Masato Ooka is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Masato Ooka has authored 24 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Masato Ooka's work include DNA Repair Mechanisms (10 papers), Carcinogens and Genotoxicity Assessment (8 papers) and CRISPR and Genetic Engineering (5 papers). Masato Ooka is often cited by papers focused on DNA Repair Mechanisms (10 papers), Carcinogens and Genotoxicity Assessment (8 papers) and CRISPR and Genetic Engineering (5 papers). Masato Ooka collaborates with scholars based in United States, Japan and France. Masato Ooka's co-authors include Menghang Xia, Kouji Hirota, Shunichi Takeda, Caitlin Lynch, Takuya Abe, Shu Yang, Ruili Huang, Anton Simeonov, Hiroyuki Sasanuma and Masataka Tsuda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Masato Ooka

21 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masato Ooka United States 14 228 76 62 49 44 24 410
Raymond J. Gonzalez United States 7 107 0.5× 34 0.4× 49 0.8× 21 0.4× 30 0.7× 13 347
Matthias Festag Switzerland 10 155 0.7× 30 0.4× 49 0.8× 30 0.6× 18 0.4× 16 363
Umesh Hanumegowda United States 12 164 0.7× 42 0.6× 40 0.6× 22 0.4× 32 0.7× 22 394
Nilambra Dogra India 13 261 1.1× 71 0.9× 12 0.2× 119 2.4× 26 0.6× 17 528
Viktoriia A. Arzumanian Russia 8 190 0.8× 37 0.5× 39 0.6× 42 0.9× 12 0.3× 20 372
Zafar Mahmood India 9 158 0.7× 51 0.7× 23 0.4× 51 1.0× 12 0.3× 14 443
Eman Kandil Egypt 16 224 1.0× 52 0.7× 61 1.0× 34 0.7× 7 0.2× 37 637
Pooja Singh India 11 152 0.7× 70 0.9× 39 0.6× 37 0.8× 36 0.8× 29 347
Mohd M. Khan United States 12 322 1.4× 92 1.2× 47 0.8× 58 1.2× 7 0.2× 23 650
Swapan Samanta India 12 222 1.0× 67 0.9× 6 0.1× 94 1.9× 18 0.4× 28 498

Countries citing papers authored by Masato Ooka

Since Specialization
Citations

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

Fields of papers citing papers by Masato Ooka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masato Ooka

This figure shows the co-authorship network connecting the top 25 collaborators of Masato Ooka. A scholar is included among the top collaborators of Masato Ooka 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 Masato Ooka. Masato Ooka 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.
Ooka, Masato, et al.. (2025). Emerging advances in intestinal models for in vitro preclinical research. American Journal of Physiology-Gastrointestinal and Liver Physiology. 329(3). G403–G416.
2.
Ooka, Masato, Jinghua Zhao, Li Zhang, et al.. (2025). Profiling of Environmental Mixtures Containing Metals for Their Toxicity Pathways and Mechanism of Action. Environmental Science & Technology. 59(10). 4778–4787. 3 indexed citations
3.
Ooka, Masato, Leah Mitchell, Jinghua Zhao, et al.. (2025). ICRF193 potentiates the genotoxicity of etoposide. Scientific Reports. 15(1). 19518–19518.
4.
Ooka, Masato, Srilatha Sakamuru, J. David Furlow, & Menghang Xia. (2024). Using Reporter Gene Assays to Screen and Identify Chemical Compounds that Modulate Estrogen Receptor Activity. Current Protocols. 4(10). e70029–e70029.
5.
Ooka, Masato, Srilatha Sakamuru, Yuhong Fang, et al.. (2024). Use of Tox21 screening data to profile PFAS bioactivities on nuclear receptors, cellular stress pathways, and cytochrome p450 enzymes. Journal of Hazardous Materials. 473. 134642–134642. 8 indexed citations
6.
Yang, Shu, et al.. (2023). Liver three-dimensional cellular models for high-throughput chemical testing. Cell Reports Methods. 3(3). 100432–100432. 47 indexed citations
8.
Ooka, Masato, Jinghua Zhao, Pranav Shah, et al.. (2022). Identification of environmental chemicals that activate p53 signaling after in vitro metabolic activation. Archives of Toxicology. 96(7). 1975–1987. 23 indexed citations
9.
Ooka, Masato, Shu Yang, Li Zhang, et al.. (2022). Lestaurtinib induces DNA damage that is related to estrogen receptor activation. Current Research in Toxicology. 4. 100102–100102. 4 indexed citations
10.
Li, Shuaizhang, Jinghua Zhao, Ruili Huang, et al.. (2021). Profiling the Tox21 Chemical Collection for Acetylcholinesterase Inhibition. Environmental Health Perspectives. 129(4). 47008–47008. 29 indexed citations
11.
Kojima, Kota, Masato Ooka, Takuya Abe, & Kouji Hirota. (2021). Pold4, the fourth subunit of replicative polymerase δ, suppresses gene conversion in the immunoglobulin-variable gene in avian DT40 cells. DNA repair. 100. 103056–103056. 5 indexed citations
12.
Wei, Zhengxi, Xue Liu, Masato Ooka, et al.. (2020). Two-Dimensional Cellular and Three-Dimensional Bio-Printed Skin Models to Screen Topical-Use Compounds for Irritation Potential. Frontiers in Bioengineering and Biotechnology. 8. 109–109. 38 indexed citations
13.
Tsuda, Masataka, Masato Ooka, Kaori Kobayashi, et al.. (2019). PDIP38/PolDIP2 controls the DNA damage tolerance pathways by increasing the relative usage of translesion DNA synthesis over template switching. PLoS ONE. 14(3). e0213383–e0213383. 18 indexed citations
14.
Ooka, Masato, et al.. (2018). Chromatin remodeler ALC1 prevents replication-fork collapse by slowing fork progression. PLoS ONE. 13(2). e0192421–e0192421. 17 indexed citations
15.
Ooka, Masato, et al.. (2018). SPARTAN promotes genetic diversification of the immunoglobulin-variable gene locus in avian DT40 cells. DNA repair. 68. 50–57. 16 indexed citations
16.
Tsuda, Masataka, Masato Ooka, Koji Kobayashi, et al.. (2017). The dominant role of proofreading exonuclease activity of replicative polymerase ε in cellular tolerance to cytarabine (Ara-C). Oncotarget. 8(20). 33457–33474. 35 indexed citations
17.
Ooka, Masato, Koji Kobayashi, Takuya Abe, et al.. (2016). Determination of genotoxic potential by comparison of structurally related azo dyes using DNA repair-deficient DT40 mutant panels. Chemosphere. 164. 106–112. 12 indexed citations
18.
Kobayashi, Kaori, et al.. (2015). Development of a Targeted Flip-in System in Avian DT40 Cells. PLoS ONE. 10(3). e0122006–e0122006. 13 indexed citations
19.
Shimizu, Naoto, et al.. (2015). Distinct DNA Damage Spectra Induced by Ionizing Radiation in Normoxic and Hypoxic Cells. Radiation Research. 184(4). 442–448. 13 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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