Yasushi Iida

1.1k total citations
31 papers, 668 citations indexed

About

Yasushi Iida is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Molecular Biology. According to data from OpenAlex, Yasushi Iida has authored 31 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Reproductive Medicine, 14 papers in Obstetrics and Gynecology and 11 papers in Molecular Biology. Recurrent topics in Yasushi Iida's work include Ovarian cancer diagnosis and treatment (21 papers), Endometrial and Cervical Cancer Treatments (11 papers) and Uterine Myomas and Treatments (5 papers). Yasushi Iida is often cited by papers focused on Ovarian cancer diagnosis and treatment (21 papers), Endometrial and Cervical Cancer Treatments (11 papers) and Uterine Myomas and Treatments (5 papers). Yasushi Iida collaborates with scholars based in Japan, United Kingdom and United States. Yasushi Iida's co-authors include Aikou Okamoto, C. Simon Herrington, Charlie Gourley, Robert L. Hollis, Nozomu Yanaihara, Kyosuke Yamada, Misato Saito, Hirokuni Takano, Motoaki Saito and Junya Tabata and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Yasushi Iida

29 papers receiving 659 citations

Peers

Yasushi Iida

ONCOL

Hirokuni Takano Japan

Iwona Podzielinski United States

E Sun Paik South Korea

Dariusz Szpurek Poland

Moon‐Hong Kim South Korea

Ida Paris Italy

Camilla Nero Italy

Maki Tanioka Japan

Seyran Yiğit Türkiye

Masako Shida Japan

Hirokuni Takano Japan

Yasushi Iida

241 ×0.7

316 ×1.7

137 ×0.8

123 ×0.8

ONCOL

298 ×2.2

Citations per year, relative to Yasushi Iida Yasushi Iida (= 1×) peers Hirokuni Takano

Countries citing papers authored by Yasushi Iida

Since Specialization

Citations

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

Fields of papers citing papers by Yasushi Iida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasushi Iida

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

Iida, Yasushi, et al.. (2025). Primary carcinosarcoma of the uterine cervix with somatic mutations of the ATM and NF2 genes: a case report. International Cancer Conference Journal. 14(3). 302–310.

Iida, Yasushi, Michael Churchman, Robert L. Hollis, et al.. (2025). Combined genomic and molecular analysis defines prognostic markers of relapse in stage IA-IC1 clear cell ovarian carcinoma. Gynecologic Oncology. 198. 66–74.

Iida, Yasushi, Nozomu Yanaihara, Yuki Yoshino, et al.. (2024). Bevacizumab increases the sensitivity of olaparib to homologous recombination-proficient ovarian cancer by suppressing CRY1 via PI3K/AKT pathway. Frontiers in Oncology. 14. 1302850–1302850. 4 indexed citations

Yanaihara, Nozomu, Yuki Yoshino, Junya Tabata, et al.. (2022). Paclitaxel sensitizes homologous recombination-proficient ovarian cancer cells to PARP inhibitor via the CDK1/BRCA1 pathway. Gynecologic Oncology. 168. 83–91. 8 indexed citations

Iida, Yasushi, et al.. (2021). Clinical Availability of Tumour Biopsy Using Diagnostic Laparoscopy for Advanced Ovarian Cancer. In Vivo. 35(6). 3325–3331. 7 indexed citations

Takenaka, Masataka, Yasushi Iida, Nozomu Yanaihara, et al.. (2021). Re-thinking the prognostic significance of positive peritoneal cytology in endometrial cancer. Gynecologic Oncology. 161(1). 135–142. 15 indexed citations

Ogawa, Kohei, Toshiyuki Seki, Masataka Takenaka, et al.. (2021). Scoring Systems of Peritoneal Dissemination for the Prediction of Operative Completeness in Advanced Ovarian Cancer. Anticancer Research. 42(1). 115–124. 5 indexed citations

Seki, Toshiyuki, Nozomu Yanaihara, Jason Shapiro, et al.. (2021). Interleukin-6 as an enhancer of anti-angiogenic therapy for ovarian clear cell carcinoma. Scientific Reports. 11(1). 7689–7689. 24 indexed citations

Iida, Yasushi, Aikou Okamoto, Robert L. Hollis, Charlie Gourley, & C. Simon Herrington. (2020). Clear cell carcinoma of the ovary: a clinical and molecular perspective. International Journal of Gynecological Cancer. 31(4). 605–616. 93 indexed citations

10.

Saito, Motoaki, Yasushi Iida, Nozomu Yanaihara, et al.. (2020). Neoadjuvant Chemotherapy for Patients With Diaphragmatic Lesions: A Prognostic Postoperative Analysis. In Vivo. 34(3). 1277–1281. 1 indexed citations

11.

Hollis, Robert L., John P. Thomson, Bárbara Stanley, et al.. (2020). Molecular stratification of endometrioid ovarian carcinoma predicts clinical outcome. Nature Communications. 11(1). 4995–4995. 83 indexed citations

12.

Kawakami, Eiryo, Junya Tabata, Nozomu Yanaihara, et al.. (2019). Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers. Clinical Cancer Research. 25(10). 3006–3015. 156 indexed citations

13.

Hollis, Robert L., Bárbara Stanley, Yasushi Iida, et al.. (2019). Hormone receptor expression patterns define clinically meaningful subgroups of endometrioid ovarian carcinoma. Gynecologic Oncology. 155(2). 318–323. 22 indexed citations

14.

Yanagida, Satoshi, Michael S. Anglesio, Tayyebeh M. Nazeran, et al.. (2017). Clinical and genetic analysis of recurrent adult-type granulosa cell tumor of the ovary: Persistent preservation of heterozygous c.402C>G FOXL2 mutation. PLoS ONE. 12(6). e0178989–e0178989. 11 indexed citations

15.

Kuroda, Takafumi, et al.. (2016). Feasibility of reduced port surgery applying Higuchi's transverse incision. Gynecology and Minimally Invasive Therapy. 6(1). 12–16. 1 indexed citations

16.

Iida, Yasushi, Hiroshi Tanabe, Satoshi Takakura, et al.. (2014). Success rate and safety of tumor debulking with diaphragmatic surgery for advanced epithelial ovarian cancer and peritoneal cancer. Archives of Gynecology and Obstetrics. 291(3). 641–646. 9 indexed citations

17.

Iida, Yasushi. (2012). Hypoxia promotes glycogen synthesis and accumulation in human ovarian clear cell carcinoma. International Journal of Oncology. 40(6). 2122–30. 51 indexed citations

18.

Yamada, Kyosuke, Takako Kiyokawa, Yasushi Iida, et al.. (2012). Pilot study of CD147 protein expression in epithelial ovarian cancer using monoclonal antibody 12C3. Journal of obstetrics and gynaecology research. 38(9). 1211–1219. 4 indexed citations

19.

Yanaihara, Nozomu, Michael S. Anglesio, Kazunori Ochiai, et al.. (2012). Cytokine gene expression signature in ovarian clear cell carcinoma. International Journal of Oncology. 41(3). 1094–1100. 43 indexed citations

20.

Yamada, Kyosuke, Toshiaki Tachibana, Yasushi Iida, et al.. (2008). Establishment and Characterization of JHUCS-1 Cell line Derived from Carcinosarcoma of the Human Uterus. Human Cell. 17(3). 139–144. 4 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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