Tomoko Akahane

840 total citations
24 papers, 592 citations indexed

About

Tomoko Akahane is a scholar working on Reproductive Medicine, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Tomoko Akahane has authored 24 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Reproductive Medicine, 8 papers in Molecular Biology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Tomoko Akahane's work include Ovarian cancer diagnosis and treatment (11 papers), Genetic factors in colorectal cancer (6 papers) and BRCA gene mutations in cancer (5 papers). Tomoko Akahane is often cited by papers focused on Ovarian cancer diagnosis and treatment (11 papers), Genetic factors in colorectal cancer (6 papers) and BRCA gene mutations in cancer (5 papers). Tomoko Akahane collaborates with scholars based in Japan. Tomoko Akahane's co-authors include Akira Hirasawa, Daisuke Aoki, Wataru Yamagami, Fumio Kataoka, Atsushi Takahashi, Satoko Uno, Michiaki Kubo, Yusuke Nakamura, Naoyuki Kamatani and Hitoshi Zembutsu and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Tomoko Akahane

23 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoko Akahane Japan 12 312 186 158 139 134 24 592
Marie‐Aude Lefrère‐Belda France 10 144 0.5× 387 2.1× 139 0.9× 68 0.5× 83 0.6× 12 817
John D. Nash United States 12 254 0.8× 177 1.0× 162 1.0× 59 0.4× 74 0.6× 20 595
Hanna Sallinen Finland 14 172 0.6× 197 1.1× 95 0.6× 41 0.3× 61 0.5× 24 394
Julie M. Hastings United States 15 707 2.3× 319 1.7× 181 1.1× 575 4.1× 533 4.0× 23 1.1k
Kuo‐Chang Wen Taiwan 12 81 0.3× 216 1.2× 102 0.6× 63 0.5× 53 0.4× 28 435
Branko Cvjetičanin Slovenia 8 187 0.6× 372 2.0× 82 0.5× 33 0.2× 86 0.6× 18 580
Hua Zhu Canada 18 134 0.4× 300 1.6× 34 0.2× 293 2.1× 359 2.7× 30 755
Claudia Martins Canada 8 97 0.3× 145 0.8× 92 0.6× 54 0.4× 47 0.4× 10 358
Diana L. Hulboy United States 7 159 0.5× 208 1.1× 152 1.0× 155 1.1× 99 0.7× 9 694
D-A Silasi United States 6 89 0.3× 147 0.8× 168 1.1× 140 1.0× 70 0.5× 12 428

Countries citing papers authored by Tomoko Akahane

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Akahane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Akahane

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Akahane. A scholar is included among the top collaborators of Tomoko Akahane 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 Tomoko Akahane. Tomoko Akahane 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.
Akahane, Tomoko, Kenta Masuda, Akira Hirasawa, et al.. (2022). TP53 variants in p53 signatures and the clonality of STICs in RRSO samples. Journal of Gynecologic Oncology. 33(4). e50–e50. 11 indexed citations
2.
Chiyoda, Tatsuyuki, Akira Hirasawa, M. Itoh, et al.. (2020). Patient-derived ovarian cancer organoids capture the genomic profiles of primary tumours applicable for drug sensitivity and resistance testing. Scientific Reports. 10(1). 12581–12581. 115 indexed citations
3.
Hirasawa, Akira, Kokichi Sugano, Teruhiko Yoshida, et al.. (2020). Germline multigene panel testing revealed a BRCA2 pathogenic variant in a patient with suspected Lynch syndrome. International Cancer Conference Journal. 10(1). 6–10. 4 indexed citations
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Hirasawa, Akira, Issei Imoto, Takuya Naruto, et al.. (2017). Prevalence of pathogenic germline variants detected by multigene sequencing in unselected Japanese patients with ovarian cancer. Oncotarget. 8(68). 112258–112267. 42 indexed citations
7.
Hirasawa, Akira, Hiroyuki Nomura, Tomoko Akahane, et al.. (2016). UGT1A1 polymorphism as a prognostic indicator of stage I ovarian clear cell carcinoma patients treated with irinotecan. Japanese Journal of Clinical Oncology. 47(2). 170–174. 2 indexed citations
8.
Yokota, Megumi, Akira Hirasawa, Kazuya Makita, et al.. (2015). Polymorphisms of estrogen metabolism-related genes ESR1 , UGT2B17 , and UGT1A1 are not associated with osteoporosis in artificial menopausal Japanese women. Menopausal Review. 3(3). 161–167. 4 indexed citations
9.
Hirasawa, Akira, Kazuya Makita, Tomoko Akahane, et al.. (2014). Osteoporosis is less frequent in endometrial cancer survivors with hypertriglyceridemia. Japanese Journal of Clinical Oncology. 45(1). 127–131. 4 indexed citations
10.
Hirasawa, Akira, Kazuya Makita, Tomoko Akahane, et al.. (2013). Hypertriglyceridemia is Frequent in Endometrial Cancer Survivors. Japanese Journal of Clinical Oncology. 43(11). 1087–1092. 10 indexed citations
11.
Hirasawa, Akira, Takeru Zama, Tomoko Akahane, et al.. (2013). Polymorphisms in the UGT1A1 gene predict adverse effects of irinotecan in the treatment of gynecologic cancer in Japanese patients. Journal of Human Genetics. 58(12). 794–798. 17 indexed citations
12.
Hirasawa, Akira, Kenta Masuda, Tomoko Akahane, et al.. (2013). Family History and BRCA1/BRCA2 Status Among Japanese Ovarian Cancer Patients and Occult Cancer in a BRCA1 Mutant Case. Japanese Journal of Clinical Oncology. 44(1). 49–56. 11 indexed citations
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Hirasawa, Akira, Tomoko Akahane, Yusuke Tanigawara, & Daisuke Aoki. (2012). Blood-Direct InvaderPlus ® As a New Method for Genetic Testing. Personalized Medicine. 9(6). 657–663. 2 indexed citations
15.
Akahane, Tomoko, Akira Hirasawa, Hiroshi Tsuda, et al.. (2012). The Origin of Stroma Surrounding Epithelial Ovarian Cancer Cells. International Journal of Gynecological Pathology. 32(1). 26–30. 12 indexed citations
16.
Kataoka, Fumio, Hiroshi Tsuda, Tokuzo Arao, et al.. (2011). EGRI and FOSB gene expressions in cancer stroma are independent prognostic indicators for epithelial ovarian cancer receiving standard therapy. Genes Chromosomes and Cancer. 51(3). 300–312. 28 indexed citations
17.
Uno, Satoko, Hitoshi Zembutsu, Akira Hirasawa, et al.. (2010). A genome-wide association study identifies genetic variants in the CDKN2BAS locus associated with endometriosis in Japanese. Nature Genetics. 42(8). 707–710. 183 indexed citations
18.
Akahane, Tomoko, et al.. (2010). Protein kinase C δ and η differently regulate the expression of loricrin and Jun family proteins in human keratinocytes. Biochemical and Biophysical Research Communications. 394(1). 106–111. 8 indexed citations
19.
Akahane, Tomoko, Akihiko Sekizawa, Tsuyoshi Okuda, et al.. (2005). Disappearance of Steroid Hormone Dependency During Malignant Transformation of Ovarian Clear Cell Cancer. International Journal of Gynecological Pathology. 24(4). 369–376. 20 indexed citations
20.

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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