Kaoru Mitsuhashi

518 total citations
7 papers, 389 citations indexed

About

Kaoru Mitsuhashi is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kaoru Mitsuhashi has authored 7 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kaoru Mitsuhashi's work include Cancer, Hypoxia, and Metabolism (4 papers), Renal cell carcinoma treatment (3 papers) and Synthetic Organic Chemistry Methods (1 paper). Kaoru Mitsuhashi is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), Renal cell carcinoma treatment (3 papers) and Synthetic Organic Chemistry Methods (1 paper). Kaoru Mitsuhashi collaborates with scholars based in Japan and United States. Kaoru Mitsuhashi's co-authors include Atsushi Inoue, Miyuki Mabuchi, Hiroshi Kamiyama, Yukinori Minoshima, Noboru Yamamoto, Yoshihiko Kotake, Akira Yokoi, Takashi Owa, Naoko Hata Sugi and Koji Sagane and has published in prestigious journals such as Cancer Research, International Journal of Cancer and Nature Chemical Biology.

In The Last Decade

Kaoru Mitsuhashi

7 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaoru Mitsuhashi Japan 4 314 93 49 36 36 7 389
Marty J. Heslin United States 5 245 0.8× 104 1.1× 33 0.7× 37 1.0× 51 1.4× 7 329
Marlena Walls United States 8 202 0.6× 84 0.9× 51 1.0× 26 0.7× 33 0.9× 11 312
Steve W. Elmore United States 3 369 1.2× 179 1.9× 32 0.7× 29 0.8× 47 1.3× 4 437
Malini Guha Canada 10 289 0.9× 198 2.1× 46 0.9× 22 0.6× 34 0.9× 22 456
Filippo Spriano Switzerland 13 320 1.0× 161 1.7× 53 1.1× 76 2.1× 31 0.9× 43 513
Anna Koren Austria 10 473 1.5× 178 1.9× 39 0.8× 34 0.9× 28 0.8× 17 583
Elisabetta Di Bello Italy 10 232 0.7× 74 0.8× 46 0.9× 18 0.5× 66 1.8× 14 360
Yang Wen China 4 333 1.1× 184 2.0× 47 1.0× 20 0.6× 99 2.8× 4 418
Nobuaki Amino Japan 9 242 0.8× 208 2.2× 58 1.2× 13 0.4× 25 0.7× 14 457
Ahmed S.A. Mady United States 9 341 1.1× 114 1.2× 81 1.7× 23 0.6× 24 0.7× 13 444

Countries citing papers authored by Kaoru Mitsuhashi

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Mitsuhashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaoru Mitsuhashi

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

All Works

7 of 7 papers shown
1.
Yamazaki, Kazuto, Kenji Kubara, Yuji Mano, et al.. (2025). Species-specific gene expression manipulation in humanized livers of chimeric mice via siRNA-encapsulated lipid nanoparticle treatment. Molecular Therapy — Methods & Clinical Development. 33(2). 101466–101466. 2 indexed citations
2.
Yamazaki, Kazuto, Kenji Kubara, Keita Kondo, et al.. (2023). Lipid nanoparticle-targeted mRNA formulation as a treatment for ornithine-transcarbamylase deficiency model mice. Molecular Therapy — Nucleic Acids. 33. 210–226. 23 indexed citations
3.
Matsuki, Masahiro, Yusuke Adachi, Yoichi Ozawa, et al.. (2017). Targeting of tumor growth and angiogenesis underlies the enhanced antitumor activity of lenvatinib in combination with everolimus. Cancer Science. 108(4). 763–771. 57 indexed citations
4.
Uehara, Taisuke, Yukinori Minoshima, Koji Sagane, et al.. (2017). Selective degradation of splicing factor CAPERα by anticancer sulfonamides. Nature Chemical Biology. 13(6). 675–680. 279 indexed citations
5.
Adachi, Yusuke, Masahiro Matsuki, Atsumi Yamaguchi, et al.. (2016). Abstract 3264: Lenvatinib in combination with everolimus demonstrated enhanced antiangiogenesis and antitumor activity in human RCC xenograft models. Cancer Research. 76(14_Supplement). 3264–3264. 2 indexed citations
6.
Guzmán, Esther A., Qunli Xu, Tara P. Pitts, et al.. (2016). Leiodermatolide, a novel marine natural product, has potent cytotoxic and antimitotic activity against cancer cells, appears to affect microtubule dynamics, and exhibits antitumor activity. International Journal of Cancer. 139(9). 2116–2126. 25 indexed citations
7.
Mitsuhashi, Kaoru, Takayuki Kimura, Taisuke Hoshi, et al.. (2016). Abstract 3262: Effects of lenvatinib mesilate in combination with everolimus on VEGF and FGF-driven angiogenesis and tumor growth. Cancer Research. 76(14_Supplement). 3262–3262. 1 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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