Kiyoko Umene

42 total papers · 1.1k total citations
32 papers, 835 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 835 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), Ovarian cancer diagnosis and treatment (6 papers) and Endometrial and Cervical Cancer Treatments (6 papers). Kiyoko Umene is often cited by papers focused on Organ and Tissue Transplantation Research (7 papers), Ovarian cancer diagnosis and treatment (6 papers) and Endometrial and Cervical Cancer Treatments (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, Masataka Adachi, Iori Kisu, Megumi Yanokura, Miho Iida and Yusuke Kobayashi 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 820 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kiyoko Umene 392 264 155 155 138 32 835
Thomas T. Tapmeier 216 0.6× 88 0.3× 211 1.4× 232 1.5× 22 0.2× 23 858
Fen Ning 356 0.9× 121 0.5× 189 1.2× 73 0.5× 8 0.1× 31 846
Alexander J. Cole 355 0.9× 131 0.5× 30 0.2× 81 0.5× 11 0.1× 31 765
Songshu Xiao 276 0.7× 122 0.5× 237 1.5× 120 0.8× 5 0.0× 46 795
Barrett Jc 308 0.8× 183 0.7× 56 0.4× 39 0.3× 8 0.1× 43 804
Rabindra N. Bhattacharjee 515 1.3× 69 0.3× 40 0.3× 12 0.1× 40 0.3× 34 972
Xia Luo 365 0.9× 266 1.0× 215 1.4× 239 1.5× 4 0.0× 23 1.0k
Patrizia Pellegrini 292 0.7× 176 0.7× 11 0.1× 25 0.2× 27 0.2× 51 967
Masanori Kanemura 416 1.1× 193 0.7× 171 1.1× 269 1.7× 2 0.0× 37 919
Xin Yu 330 0.8× 116 0.4× 96 0.6× 21 0.1× 5 0.0× 37 866

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

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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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