Kiyofumi Kaneshiro

1.1k total citations
8 papers, 840 citations indexed

About

Kiyofumi Kaneshiro is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Kiyofumi Kaneshiro has authored 8 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Genetics. Recurrent topics in Kiyofumi Kaneshiro's work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (2 papers) and Prostate Cancer Treatment and Research (2 papers). Kiyofumi Kaneshiro is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (2 papers) and Prostate Cancer Treatment and Research (2 papers). Kiyofumi Kaneshiro collaborates with scholars based in Japan, France and Vietnam. Kiyofumi Kaneshiro's co-authors include Nobutaka Hirokawa, Mitsutoshi Setou, Harukata Miki, Hiroyuki Aburatani, Katsuhiko Shirahige, Shuichi Tsutsumi, Yuki Katou, Tomohiko Urano, Yasuyoshi Ouchi and Kazuhiro Ikeda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Cancer Research.

In The Last Decade

Kiyofumi Kaneshiro

7 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
Kiyofumi Kaneshiro Japan 7 608 363 122 101 88 8 840
Michela Raponi United Kingdom 14 769 1.3× 272 0.7× 306 2.5× 48 0.5× 90 1.0× 21 1.0k
Toshiyasu Goto Japan 15 772 1.3× 308 0.8× 108 0.9× 33 0.3× 101 1.1× 29 1.0k
M. Kasim Diril Singapore 13 742 1.2× 521 1.4× 94 0.8× 47 0.5× 130 1.5× 19 987
Tomoyo Okada Japan 19 837 1.4× 396 1.1× 36 0.3× 166 1.6× 166 1.9× 22 1.3k
Wolfgang Breitwieser United Kingdom 16 817 1.3× 142 0.4× 110 0.9× 30 0.3× 117 1.3× 21 1.0k
Jon M. Askham United Kingdom 16 788 1.3× 571 1.6× 54 0.4× 40 0.4× 138 1.6× 22 982
K Letwin Canada 11 1.0k 1.7× 292 0.8× 125 1.0× 58 0.6× 222 2.5× 12 1.4k
Jit Kong Cheong Singapore 13 710 1.2× 102 0.3× 82 0.7× 55 0.5× 109 1.2× 24 925
Avinash K. Persaud Canada 14 769 1.3× 275 0.8× 55 0.5× 35 0.3× 155 1.8× 26 939
Taryn A. Schiripo United States 7 984 1.6× 727 2.0× 164 1.3× 36 0.4× 249 2.8× 7 1.4k

Countries citing papers authored by Kiyofumi Kaneshiro

Since Specialization
Citations

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

Fields of papers citing papers by Kiyofumi Kaneshiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyofumi Kaneshiro

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyofumi Kaneshiro. A scholar is included among the top collaborators of Kiyofumi Kaneshiro 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 Kiyofumi Kaneshiro. Kiyofumi Kaneshiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Takayama, Ken‐ichi, Shuichi Tsutsumi, Takashi Suzuki, et al.. (2008). Amyloid Precursor Protein Is a Primary Androgen Target Gene That Promotes Prostate Cancer Growth. Cancer Research. 69(1). 137–142. 96 indexed citations
2.
Takayama, Ken‐ichi, Kiyofumi Kaneshiro, Shogo Tsutsumi, et al.. (2007). Identification of novel androgen response genes in prostate cancer cells by coupling chromatin immunoprecipitation and genomic microarray analysis. Oncogene. 26(30). 4453–4463. 86 indexed citations
3.
Kaneshiro, Kiyofumi, Shuichi Tsutsumi, Shingo Tsuji, Katsuhiko Shirahige, & Hiroyuki Aburatani. (2006). An integrated map of p53-binding sites and histone modification in the human ENCODE regions. Genomics. 89(2). 178–188. 45 indexed citations
4.
Hayashi, Hiroshi, Genta Nagae, Shuichi Tsutsumi, et al.. (2006). High-resolution mapping of DNA methylation in human genome using oligonucleotide tiling array. Human Genetics. 120(5). 701–711. 43 indexed citations
5.
Katou, Yuki, Kiyofumi Kaneshiro, Hiroyuki Aburatani, & Katsuhiko Shirahige. (2006). Genomic Approach for the Understanding of Dynamic Aspect of Chromosome Behavior. Methods in enzymology on CD-ROM/Methods in enzymology. 409. 389–410. 57 indexed citations
6.
Kaneshiro, Kiyofumi, et al.. (2004). Protecting methods for treatment related to regenerative medicine and gene therapy in Japan. Nature Biotechnology. 22(3). 343–345.
7.
Miki, Harukata, Mitsutoshi Setou, Kiyofumi Kaneshiro, & Nobutaka Hirokawa. (2001). All kinesin superfamily protein, KIF, genes in mouse and human. Proceedings of the National Academy of Sciences. 98(13). 7004–7011. 494 indexed citations
8.
Kaneshiro, Kiyofumi, et al.. (1991). Proceedings of the International Symposium on the Biology and Control of Fruit Flies. Medical Entomology and Zoology. 19 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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2026