Katsutoshi Oda

7.6k total citations · 1 hit paper
195 papers, 4.9k citations indexed

About

Katsutoshi Oda is a scholar working on Molecular Biology, Oncology and Reproductive Medicine. According to data from OpenAlex, Katsutoshi Oda has authored 195 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 63 papers in Oncology and 52 papers in Reproductive Medicine. Recurrent topics in Katsutoshi Oda's work include Ovarian cancer diagnosis and treatment (41 papers), Endometrial and Cervical Cancer Treatments (31 papers) and Cancer Genomics and Diagnostics (19 papers). Katsutoshi Oda is often cited by papers focused on Ovarian cancer diagnosis and treatment (41 papers), Endometrial and Cervical Cancer Treatments (31 papers) and Cancer Genomics and Diagnostics (19 papers). Katsutoshi Oda collaborates with scholars based in Japan, United States and Italy. Katsutoshi Oda's co-authors include Yuji Taketani, Kei Kawana, Hiroyuki Nishimori, Tomoyuki Fujii, Yutaka Osuga, Frank McCormick, Takashi Tokino, David Stokoe, Yusuke Nakamura and Koichi Matsuda and has published in prestigious journals such as Cell, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Katsutoshi Oda

189 papers receiving 4.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

p53AIP1, a Potential Mediator of p53-Dependent Apoptosis, and Its Regulation by Ser-46-Phosphorylated p53

2000 977 citations Katsutoshi Oda, Koichi Matsuda et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katsutoshi Oda Japan	35	2.6k	1.6k	973	786	739	195	4.9k
Bo R. Rueda United States	47	2.7k 1.0×	1.7k 1.1×	1.5k 1.5×	1.2k 1.5×	874 1.2×	155	6.5k
Ate G.J. van der Zee Netherlands	35	1.5k 0.6×	1.0k 0.7×	943 1.0×	738 0.9×	688 0.9×	63	3.8k
Hidemichi Watari Japan	47	3.3k 1.3×	1.4k 0.9×	1.7k 1.7×	2.0k 2.6×	2.1k 2.8×	210	7.5k
Barbara C. Vanderhyden Canada	49	3.6k 1.4×	1.3k 0.8×	2.5k 2.6×	851 1.1×	224 0.3×	151	7.5k
Hung‐Cheng Lai Taiwan	37	2.7k 1.1×	1.4k 0.9×	427 0.4×	1.2k 1.6×	260 0.4×	88	4.2k
Shiro Nozawa Japan	31	1.5k 0.6×	774 0.5×	678 0.7×	275 0.3×	489 0.7×	151	3.5k
Irene Visintin United States	36	1.7k 0.6×	940 0.6×	680 0.7×	859 1.1×	387 0.5×	43	6.3k
Qinglei Gao China	33	2.1k 0.8×	1.0k 0.7×	293 0.3×	756 1.0×	141 0.2×	171	3.7k
R.J.B. King United Kingdom	42	1.8k 0.7×	1.3k 0.8×	879 0.9×	576 0.7×	426 0.6×	178	5.6k
Cécile Le Page Canada	28	1.2k 0.5×	1.1k 0.7×	355 0.4×	567 0.7×	130 0.2×	62	3.1k

Countries citing papers authored by Katsutoshi Oda

Since Specialization

Citations

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

Fields of papers citing papers by Katsutoshi Oda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsutoshi Oda

This figure shows the co-authorship network connecting the top 25 collaborators of Katsutoshi Oda. A scholar is included among the top collaborators of Katsutoshi Oda 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 Katsutoshi Oda. Katsutoshi Oda 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

Ogawa, Miho, Kousuke Watanabe, Aya Shinozaki‐Ushiku, et al.. (2025). Germline pathogenic variants detected by GenMineTOP: insight from a nationwide tumor/normal paired comprehensive genomic profiling test, in Japan. Journal of Human Genetics. 71(1). 1–11.

Ikushima, Hiroaki, et al.. (2025). Clinical utility of comprehensive genomic profiling in non-small cell lung cancer: An analysis of a nation-wide database. Lung Cancer. 200. 108099–108099. 1 indexed citations

Saito, Yuki, Hidenori Kage, Kenya Kobayashi, et al.. (2024). Comprehensive genomic profiling from C‐CAT database unveiled over 80% presence of oncogenic drivers in anaplastic thyroid carcinoma including BRAF, RAS family, NF1, and FGFR1. Clinical Endocrinology. 101(2). 170–179. 6 indexed citations

Hayashi, Ryuji, Junichi Matsubara, Masahiro Yoshioka, et al.. (2024). Molecularly matched therapies identified by comprehensive genomic profiling before the first-line setting to provide alternative treatment outcomes in patients with solid tumors: 1-year follow-up of the prospective FIRST-Dx study.. Journal of Clinical Oncology. 42(16_suppl). 3137–3137.

Ikegami, Masachika, Takuya Miyagawa, Hiromichi Morita, et al.. (2024). Association of genetic alterations with prognosis in extramammary Paget disease: insights into the involvement of somatic CDKN2A variants in patients with a poor prognosis. British Journal of Dermatology. 192(1). 46–54. 1 indexed citations

Ishigaki, Kazunaga, Naminatsu Takahara, Hiroki Oyama, et al.. (2024). Association between homologous recombination deficiency and time to treatment failure to platinum-based chemotherapy for pancreatic cancer by using the C-CAT database. Journal of Gastroenterology. 60(2). 247–256. 2 indexed citations

Kobayashi, Hiroshi, Yuki Ishibashi, Toshihide Hirai, et al.. (2023). BRAFmutations and concurrent alterations in patients with soft tissue sarcoma. Genes Chromosomes and Cancer. 62(11). 648–654. 7 indexed citations

Taguchi, Ayumi, Masako Ikemura, Yuichiro Miyamoto, et al.. (2023). A case of refractory pelvic squamous cell carcinoma of unknown primary that responded to nivolumab. Journal of obstetrics and gynaecology research. 49(4). 1300–1304. 1 indexed citations

Kage, Hidenori, Katsutoshi Oda, Manabu Muto, et al.. (2023). Human resources for administrative work to carry out a comprehensive genomic profiling test in Japan. Cancer Science. 114(7). 3041–3049. 7 indexed citations

10.

Ikegami, Masachika, Takafumi Koyama, Kuniko Sunami, et al.. (2022). High-Throughput Functional Evaluation of MAP2K1 Variants in Cancer. Molecular Cancer Therapeutics. 22(2). 227–239. 15 indexed citations

11.

Kobayashi, Yusuke, Kenta Masuda, Kazuhiro Takehara, et al.. (2022). Current status of hereditary breast and ovarian cancer practice among gynecologic oncologists in Japan: a nationwide survey by the Japan Society of Gynecologic Oncology (JSGO). Journal of Gynecologic Oncology. 33(5). e61–e61. 3 indexed citations

12.

Kobayashi, Hiroshi, Naohiro Makise, Aya Shinozaki‐Ushiku, et al.. (2022). Dramatic response to entrectinib in a patient with malignant peripheral nerve sheath tumor harboring novel SNRNP70‐NTRK3 fusion gene. Genes Chromosomes and Cancer. 62(1). 47–51. 6 indexed citations

13.

Maeda, Daichi, Aya Shinozaki‐Ushiku, Akiteru Goto, et al.. (2020). Comprehensive immunohistochemical analysis of the gastrointestinal and Müllerian phenotypes of 139 ovarian mucinous cystadenomas. Human Pathology. 109. 21–30. 14 indexed citations

14.

Bagnoli, Marina, Tingyan Shi, Charlie Gourley, et al.. (2019). Gynecological Cancers Translational, Research Implementation, and Harmonization: Gynecologic Cancer InterGroup Consensus and Still Open Questions. Cells. 8(3). 200–200. 6 indexed citations

15.

Nagasaka, Kazunori, Yōko Matsumoto, Katsutoshi Oda, et al.. (2018). Usefulness of cell-free and concentrated ascites reinfusion therapy in the therapeutic management of advanced ovarian cancer patients with massive ascites. International Journal of Clinical Oncology. 24(4). 420–427. 11 indexed citations

16.

Suzuki, Kensuke, Kazunori Nagasaka, Katsutoshi Oda, et al.. (2016). A case of lymphangioleiomyomatosis associated with endometrial cancer and severe systemic lupus erythematosus. BMC Cancer. 16(1). 390–390. 9 indexed citations

17.

Tanikawa, Chizu, Yukinori Okada, Atsushi Takahashi, et al.. (2013). Correction: Genome Wide Association Study of Age at Menarche in the Japanese Population. PLoS ONE. 8(10). 12 indexed citations

18.

Shirane, A, Osamu Wada‐Hiraike, Michihiro Tanikawa, et al.. (2012). Regulation of SIRT1 determines initial step of endometrial receptivity by controlling E-cadherin expression. Biochemical and Biophysical Research Communications. 424(3). 604–610. 34 indexed citations

19.

Oda, Katsutoshi, Luika Timmerman, Pablo Rodriguez‐Viciana, et al.. (2008). PIK3CA Cooperates with Other Phosphatidylinositol 3′-Kinase Pathway Mutations to Effect Oncogenic Transformation. Cancer Research. 68(19). 8127–8136. 136 indexed citations

20.

Oda, Katsutoshi, David Stokoe, Yuji Taketani, & Frank McCormick. (2005). High Frequency of Coexistent Mutations of PIK3CA and PTEN Genes in Endometrial Carcinoma. Cancer Research. 65(23). 10669–10673. 345 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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