Kiyoko Umene

1.1k total citations
32 papers, 841 citations indexed

About

Kiyoko Umene is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Kiyoko Umene has authored 32 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Cancer Research and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Kiyoko Umene's work include Organ and Tissue Transplantation Research (7 papers), Endometrial and Cervical Cancer Treatments (6 papers) and Ovarian cancer diagnosis and treatment (6 papers). Kiyoko Umene is often cited by papers focused on Organ and Tissue Transplantation Research (7 papers), Endometrial and Cervical Cancer Treatments (6 papers) and Ovarian cancer diagnosis and treatment (6 papers). Kiyoko Umene collaborates with scholars based in Japan. Kiyoko Umene's co-authors include Kouji Banno, Daisuke Aoki, Yuya Nogami, Kenta Masuda, Eiichiro Tominaga, Iori Kisu, Masataka Adachi, Megumi Yanokura, Yusuke Kobayashi and Miho Iida and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Human Reproduction.

In The Last Decade

Kiyoko Umene

31 papers receiving 826 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiyoko Umene Japan 18 397 267 158 155 138 32 841
Songshu Xiao China 18 280 0.7× 122 0.5× 122 0.8× 243 1.6× 5 0.0× 46 810
Ruifang Xu China 12 198 0.5× 60 0.2× 76 0.5× 78 0.5× 3 0.0× 27 523
Huaijun Zhou China 14 291 0.7× 242 0.9× 53 0.3× 87 0.6× 3 0.0× 38 523
Ismael D.C.G. Silva Brazil 11 171 0.4× 118 0.4× 97 0.6× 74 0.5× 2 0.0× 17 533
Mariano J. Scian United States 15 498 1.3× 309 1.2× 5 0.0× 11 0.1× 167 1.2× 22 887
Lei Deng China 12 219 0.6× 90 0.3× 53 0.3× 74 0.5× 2 0.0× 25 786
Lidija Beketić-Orešković Croatia 13 288 0.7× 102 0.4× 101 0.6× 47 0.3× 2 0.0× 37 591
Namiko Yada-Hashimoto Japan 9 244 0.6× 127 0.5× 205 1.3× 106 0.7× 10 551
Yoshimichi Tanaka Japan 16 350 0.9× 194 0.7× 280 1.8× 198 1.3× 1 0.0× 45 850
Tomohito Tanaka Japan 18 348 0.9× 208 0.8× 338 2.1× 333 2.1× 1 0.0× 81 1.0k

Countries citing papers authored by Kiyoko Umene

Since Specialization
Citations

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

Fields of papers citing papers by Kiyoko Umene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyoko Umene

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoko Umene. A scholar is included among the top collaborators of Kiyoko Umene 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 Kiyoko Umene. Kiyoko Umene 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.
Okazaki, Shogo, Kiyoko Umene, Juntaro Yamasaki, et al.. (2019). Glutaminolysis‐related genes determine sensitivity to xCT‐targeted therapy in head and neck squamous cell carcinoma. Cancer Science. 110(11). 3453–3463. 62 indexed citations
2.
Iijima, Moito, Kouji Banno, Megumi Yanokura, et al.. (2017). Genome-wide analysis of gynecologic cancer: The Cancer Genome Atlas in ovarian and endometrial cancer. Oncology Letters. 13(3). 1063–1070. 14 indexed citations
3.
Watanabe, Keiko, Yusuke Kobayashi, Kouji Banno, et al.. (2017). Recent advances in the molecular mechanisms of Mayer-Rokitansky-Küster-Hauser syndrome. Biomedical Reports. 7(2). 123–127. 8 indexed citations
4.
Kisu, Iori, et al.. (2016). Survey of Attitudes toward Uterus Transplantation among Japanese Women of Reproductive Age: A Cross-Sectional Study. PLoS ONE. 11(5). e0156179–e0156179. 27 indexed citations
5.
Kisu, Iori, Yojiro Kato, Yohei Yamada, et al.. (2016). Organ Perfusion for Uterus Transplantation in Non-Human Primates With Assumed Procurement of a Uterus From a Brain-Dead Donor. Transplantation Proceedings. 48(4). 1266–1269. 8 indexed citations
6.
7.
Banno, Kouji, Megumi Yanokura, Miho Iida, et al.. (2016). Metformin: A candidate for the treatment of gynecological tumors based on drug repositioning. Oncology Letters. 11(2). 1287–1293. 25 indexed citations
8.
Masuda, Kenta, Yusuke Kobayashi, Takehiro Kimura, et al.. (2016). Characterization of the STK11 splicing variant as a normal splicing isomer in a patient with Peutz–Jeghers syndrome harboring genomic deletion of the STK11 gene. Human Genome Variation. 3(1). 16002–16002. 5 indexed citations
9.
Takeda, Takashi, Kouji Banno, Megumi Yanokura, et al.. (2015). ARID1A gene mutation in ovarian and endometrial cancers (Review). Oncology Reports. 35(2). 607–613. 143 indexed citations
10.
Adachi, Masataka, Kouji Banno, Iori Kisu, et al.. (2015). Oncofertility in Gynecologic Malignant Tumors. Journal of Cancer Therapy. 6(14). 1176–1191.
11.
Kisu, Iori, Kouji Banno, Makoto Mihara, et al.. (2015). A surgical technique using the ovarian vein in non‐human primate models of potential living‐donor surgery of uterus transplantation. Acta Obstetricia Et Gynecologica Scandinavica. 94(9). 942–948. 28 indexed citations
12.
Umene, Kiyoko, Megumi Yanokura, Kouji Banno, et al.. (2015). Aurora kinase A has a significant role as a therapeutic target and clinical biomarker in endometrial cancer. International Journal of Oncology. 46(4). 1498–1506. 30 indexed citations
13.
Iida, Miho, Kouji Banno, Megumi Yanokura, et al.. (2014). Candidate biomarkers for cervical cancer treatment: Potential for clinical practice (Review). Molecular and Clinical Oncology. 2(5). 647–655. 27 indexed citations
14.
Nogami, Yuya, Miho Iida, Kouji Banno, et al.. (2014). Application of FDG-PET in cervical cancer and endometrial cancer: utility and future prospects.. PubMed. 34(2). 585–92. 27 indexed citations
15.
Adachi, Masataka, Kouji Banno, Megumi Yanokura, et al.. (2014). Risk-reducing surgery in hereditary gynecological cancer: Clinical applications in Lynch syndrome and hereditary breast and ovarian cancer. Molecular and Clinical Oncology. 3(2). 267–273. 6 indexed citations
16.
Umene, Kiyoko, Kouji Banno, Iori Kisu, et al.. (2013). Aurora kinase inhibitors: Potential molecular-targeted drugs for gynecologic malignant tumors. Biomedical Reports. 1(3). 335–340. 24 indexed citations
17.
Nogami, Yuya, Kouji Banno, Iori Kisu, et al.. (2013). Current status of molecular-targeted drugs for endometrial cancer (Review). Molecular and Clinical Oncology. 1(5). 799–804. 10 indexed citations
18.
Kisu, Iori, Kouji Banno, Megumi Yanokura, et al.. (2013). Indocyanine green fluorescence imaging in the pregnant cynomolgus macaque: childbearing is supported by a unilateral uterine artery and vein alone?. Archives of Gynecology and Obstetrics. 288(6). 1309–1315. 7 indexed citations
19.
Kisu, Iori, Makoto Mihara, Kouji Banno, et al.. (2013). Risks for Donors in Uterus Transplantation. Reproductive Sciences. 20(12). 1406–1415. 37 indexed citations
20.
Banno, Kouji, Iori Kisu, Megumi Yanokura, et al.. (2012). Hereditary Endometrial Cancer: Lynch Syndrome. Current Obstetrics and Gynecology Reports. 2(1). 11–18. 3 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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