Kei Ihira

941 total citations
23 papers, 704 citations indexed

About

Kei Ihira is a scholar working on Molecular Biology, Cancer Research and Obstetrics and Gynecology. According to data from OpenAlex, Kei Ihira has authored 23 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Cancer Research and 5 papers in Obstetrics and Gynecology. Recurrent topics in Kei Ihira's work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers) and Circular RNAs in diseases (8 papers). Kei Ihira is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers) and Circular RNAs in diseases (8 papers). Kei Ihira collaborates with scholars based in Japan, China and United States. Kei Ihira's co-authors include Hidemichi Watari, Peixin Dong, Ying Xiong, Yosuke Konno, Junming Yue, Noriko Kobayashi, Masataka Kudo, Noriaki Sakuragi, Takahiro Yamada and Sharon J. B. Hanley and has published in prestigious journals such as Scientific Reports, Annals of Surgical Oncology and Oncotarget.

In The Last Decade

Kei Ihira

22 papers receiving 695 citations

Peers

Kei Ihira
Fanfei Kong China
Emilie Marion Canuto Italy
Markéta Bednaříková Czechia
Rui Gou China
Shilong Fu China
Michał Świerniak Poland
Chenggong Sun China
Victoria Heredia-Soto Spain
Xiao-Song Wang United States
Laura M S Seeber Netherlands
Fanfei Kong China
Kei Ihira
Citations per year, relative to Kei Ihira Kei Ihira (= 1×) peers Fanfei Kong

Countries citing papers authored by Kei Ihira

Since Specialization
Citations

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

Fields of papers citing papers by Kei Ihira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kei Ihira

This figure shows the co-authorship network connecting the top 25 collaborators of Kei Ihira. A scholar is included among the top collaborators of Kei Ihira 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 Kei Ihira. Kei Ihira 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.
Yu, Miao, Yosuke Konno, Baojin Wang, et al.. (2023). Integrated multi-omics analyses and functional validation reveal TTK as a novel EMT activator for endometrial cancer. Journal of Translational Medicine. 21(1). 151–151. 11 indexed citations
2.
Kato, Tatsuya, Mahito Takeda, Kei Ihira, et al.. (2022). Patterns and predictors of site‐specific recurrence in cervical cancer after radical hysterectomy. Journal of obstetrics and gynaecology research. 48(12). 3209–3218. 3 indexed citations
3.
Dong, Peixin, Mohammad Taheri, Ying Xiong, et al.. (2022). Long Non-Coding RNA TMPO-AS1 Promotes GLUT1-Mediated Glycolysis and Paclitaxel Resistance in Endometrial Cancer Cells by Interacting With miR-140 and miR-143. Frontiers in Oncology. 12. 20 indexed citations
4.
Dong, Peixin, Ying Xiong, Yosuke Konno, et al.. (2021). Long non-coding RNA DLEU2 drives EMT and glycolysis in endometrial cancer through HK2 by competitively binding with miR-455 and by modulating the EZH2/miR-181a pathway. Journal of Experimental & Clinical Cancer Research. 40(1). 216–216. 58 indexed citations
5.
Dong, Peixin, Ying Xiong, Yosuke Konno, et al.. (2021). Critical Roles of PIWIL1 in Human Tumors: Expression, Functions, Mechanisms, and Potential Clinical Implications. Frontiers in Cell and Developmental Biology. 9. 656993–656993. 17 indexed citations
6.
Komatsu, Hiroaki, Hidemichi Watari, Satoshi Nakagawa, et al.. (2021). Initiatives and achievements of the Japanese Society of Obstetrics and Gynecology, Obstetrics and Gynecology MIRAI Committee 2020. Journal of obstetrics and gynaecology research. 47(6). 1973–1977. 3 indexed citations
7.
Yamazaki, Hiroyuki, Takashi Mitamura, Kei Ihira, et al.. (2021). The difficulty to diagnose cervical cancer developing in the perinatal period with the first‐trimester cytology: A retrospective study. Journal of obstetrics and gynaecology research. 47(9). 3303–3309.
8.
Mayama, Michinori, Hiroshi Asano, Eiji Nomura, et al.. (2020). Four versus six chemotherapy cycles in endometrial carcinoma with a high risk of recurrence: a retrospective study. Japanese Journal of Clinical Oncology. 50(8). 882–888. 3 indexed citations
9.
Sakuragi, Noriaki, Masanori Kaneuchi, Tatsuya Kato, et al.. (2020). Tailored radical hysterectomy for locally advanced cervical cancer. International Journal of Gynecological Cancer. 30(8). 1136–1142. 4 indexed citations
10.
Dong, Peixin, Ying Xiong, Rui Chen, et al.. (2020). PD-L1 Is a Tumor Suppressor in Aggressive Endometrial Cancer Cells and Its Expression Is Regulated by miR-216a and lncRNA MEG3. Frontiers in Cell and Developmental Biology. 8. 598205–598205. 35 indexed citations
11.
Dong, Peixin, Ying Xiong, Junming Yue, et al.. (2020). MicroRNA-361-Mediated Inhibition of HSP90 Expression and EMT in Cervical Cancer Is Counteracted by Oncogenic lncRNA NEAT1. Cells. 9(3). 632–632. 48 indexed citations
12.
Dong, Peixin, Ying Xiong, Junming Yue, et al.. (2020). The Expression, Functions and Mechanisms of Circular RNAs in Gynecological Cancers. Cancers. 12(6). 1472–1472. 39 indexed citations
13.
Asano, Hiroshi, Kanako C. Hatanaka, Ryosuke Matsuoka, et al.. (2019). L1CAM Predicts Adverse Outcomes in Patients with Endometrial Cancer Undergoing Full Lymphadenectomy and Adjuvant Chemotherapy. Annals of Surgical Oncology. 27(7). 2159–2168. 20 indexed citations
14.
Dong, Peixin, Ying Xiong, Junming Yue, et al.. (2019). Long noncoding RNA NEAT1 drives aggressive endometrial cancer progression via miR-361-regulated networks involving STAT3 and tumor microenvironment-related genes. Journal of Experimental & Clinical Cancer Research. 38(1). 295–295. 119 indexed citations
15.
Dong, Peixin, Ying Xiong, Junming Yue, et al.. (2019). MicroRNA-361: A Multifaceted Player Regulating Tumor Aggressiveness and Tumor Microenvironment Formation. Cancers. 11(8). 1130–1130. 19 indexed citations
16.
Mitamura, Takashi, Peixin Dong, Kei Ihira, Masataka Kudo, & Hidemichi Watari. (2018). Molecular-targeted therapies and precision medicine for endometrial cancer. Japanese Journal of Clinical Oncology. 49(2). 108–120. 42 indexed citations
17.
Ihira, Kei, Peixin Dong, Ying Xiong, et al.. (2017). EZH2 inhibition suppresses endometrial cancer progression via miR-361/Twist axis. Oncotarget. 8(8). 13509–13520. 60 indexed citations
18.
Dong, Peixin, Ying Xiong, Hidemichi Watari, et al.. (2016). MiR-137 and miR-34a directly target Snail and inhibit EMT, invasion and sphere-forming ability of ovarian cancer cells. Journal of Experimental & Clinical Cancer Research. 35(1). 132–132. 101 indexed citations
19.
Dong, Peixin, Ying Xiong, Hidemichi Watari, et al.. (2016). Suppression of iASPP-dependent aggressiveness in cervical cancer through reversal of methylation silencing of microRNA-124. Scientific Reports. 6(1). 35480–35480. 26 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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