Kisho Ono

2.2k total citations
89 papers, 1.5k citations indexed

About

Kisho Ono is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Kisho Ono has authored 89 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 19 papers in Oncology and 15 papers in Surgery. Recurrent topics in Kisho Ono's work include Extracellular vesicles in disease (13 papers), Cancer, Hypoxia, and Metabolism (8 papers) and MicroRNA in disease regulation (6 papers). Kisho Ono is often cited by papers focused on Extracellular vesicles in disease (13 papers), Cancer, Hypoxia, and Metabolism (8 papers) and MicroRNA in disease regulation (6 papers). Kisho Ono collaborates with scholars based in Japan, United States and Grenada. Kisho Ono's co-authors include Takanori Eguchi, Eman A. Taha, Kuniaki Okamoto, Stuart K. Calderwood, Chiharu Sogawa, Akira Sasaki, Soichiro Ibaragi, Yuka Okusha, Hotaka Kawai and Ken‐ichi Kozaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute and Biochemical and Biophysical Research Communications.

In The Last Decade

Kisho Ono

84 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kisho Ono Japan 20 860 415 290 178 166 89 1.5k
Chia‐Wei Hsu Taiwan 21 834 1.0× 295 0.7× 211 0.7× 235 1.3× 138 0.8× 38 1.5k
Shyam S. Chauhan India 25 1.1k 1.3× 671 1.6× 609 2.1× 142 0.8× 241 1.5× 103 2.1k
Wanli Liu China 26 1.1k 1.2× 508 1.2× 548 1.9× 320 1.8× 208 1.3× 57 1.9k
Daniel R. O’Brien United States 18 717 0.8× 370 0.9× 301 1.0× 160 0.9× 245 1.5× 50 1.5k
Shin Nieh Taiwan 30 951 1.1× 404 1.0× 646 2.2× 223 1.3× 270 1.6× 102 2.3k
Alfredo Ribeiro‐Silva Brazil 26 658 0.8× 444 1.1× 890 3.1× 225 1.3× 166 1.0× 124 2.1k
Jinsong Hou China 26 885 1.0× 534 1.3× 353 1.2× 186 1.0× 87 0.5× 75 1.6k
Eunae Sandra Cho South Korea 17 635 0.7× 310 0.7× 176 0.6× 81 0.5× 91 0.5× 42 1.0k
Rizwan Masood United States 29 1.2k 1.4× 356 0.9× 990 3.4× 234 1.3× 247 1.5× 66 2.5k
Kathrin Scheckenbach Germany 25 464 0.5× 221 0.5× 513 1.8× 143 0.8× 265 1.6× 64 1.4k

Countries citing papers authored by Kisho Ono

Since Specialization
Citations

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

Fields of papers citing papers by Kisho Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kisho Ono

This figure shows the co-authorship network connecting the top 25 collaborators of Kisho Ono. A scholar is included among the top collaborators of Kisho Ono 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 Kisho Ono. Kisho Ono 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.
Iwanaga, Joe, Kyoichi Obata, Kisho Ono, et al.. (2025). What Is the Appropriate Sample Size in Human Cadaveric Studies? A Quantitative Review of 770 Articles. Clinical Anatomy. 39(1). 14–19. 1 indexed citations
2.
Hara, I., Kyoichi Obata, Kisho Ono, et al.. (2025). Peripheral calcifying odontogenic cyst: A case report and literature review. Journal of Oral and Maxillofacial Surgery Medicine and Pathology. 37(6). 1314–1320.
3.
Ono, Kisho, et al.. (2025). Tongue Schwannoma at the Median Inferior Surface in the Elderly: A Case Report. Clinical Case Reports. 13(7). e70506–e70506.
4.
Ono, Kisho, Hotaka Kawai, Kyoichi Obata, et al.. (2024). Novel mechanism of cisplatin resistance in head and neck squamous cell carcinoma involving extracellular vesicles and a copper transporter system. Head & Neck. 46(3). 636–650. 1 indexed citations
5.
Baba, Osamu, Fangdong Zou, Takahiro Horie, & Kisho Ono. (2024). A novel VCP modulator, KUS121, attenuates atherosclerosis progression by maintaining intracellular ATP and mitigating ER stress in endothelial cells. European Heart Journal. 45(Supplement_1). 1 indexed citations
6.
Ono, Kisho & Takanori Eguchi. (2023). Proteomic Profiling of the Extracellular Vesicle Chaperone in Cancer. Methods in molecular biology. 2693. 233–249. 1 indexed citations
7.
Eguchi, Takanori, Hotaka Kawai, Manh Tien Tran, et al.. (2023). Rab11 suppresses head and neck carcinoma by regulating EGFR and EpCAM exosome secretion. Journal of Oral Biosciences. 66(1). 205–216. 1 indexed citations
8.
Iwanaga, Joe, et al.. (2023). Lingual nerve impairment/injury after retrieval of the displaced mandibular third molar into the floor of the mouth. British Journal of Oral and Maxillofacial Surgery. 61(3). 193–197. 4 indexed citations
9.
Ono, Kisho & Takanori Eguchi. (2023). Large-Scale Databases and Portals on Cancer Genome to Analyze Chaperone Genes Correlated to Patient Prognosis. Methods in molecular biology. 2693. 293–306. 3 indexed citations
10.
Ono, Kisho, Takanori Eguchi, Hotaka Kawai, et al.. (2023). EpEX, the soluble extracellular domain of EpCAM, resists cetuximab treatment of EGFR-high head and neck squamous cell carcinoma. Oral Oncology. 142. 106433–106433. 6 indexed citations
12.
Ono, Kisho, Kyoichi Obata, Hotaka Kawai, et al.. (2022). Lip pleomorphic adenomas: case series and literature review. Gland Surgery. 11(10). 1730–1740. 5 indexed citations
13.
Eguchi, Takanori, et al.. (2022). Comprehensive Method for Exosome Isolation and Proteome Analysis for Detection of CCN Factors in/on Exosomes. Methods in molecular biology. 2582. 59–76. 8 indexed citations
14.
Ono, Kisho, Tatsuo Okui, Yuki Kunisada, et al.. (2021). A case of langerhans cell histiocytosis of the mandible that spontaneously regressed after biopsy in a child. SHILAP Revista de lepidopterología. 9(6). e04321–e04321. 2 indexed citations
15.
Yoshida, Kaya, Kayo Yoshida, Natsumi Fujiwara, et al.. (2020). Outer membrane vesicles of Porphyromonas gingivalis attenuate insulin sensitivity by delivering gingipains to the liver. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(6). 165731–165731. 104 indexed citations
16.
Sogawa, Chiharu, Takanori Eguchi, Yuka Okusha, et al.. (2019). A Reporter System Evaluates Tumorigenesis, Metastasis, β-catenin/MMP Regulation, and Druggability. Tissue Engineering Part A. 25(19-20). 1413–1425. 17 indexed citations
17.
Hirota, Yuki, Natsuko Kondo, Shinji Kawabata, et al.. (2013). High linear-energy-transfer radiation can overcome radioresistance of glioma stem-like cells to low linear-energy-transfer radiation. Journal of Radiation Research. 55(1). 75–83. 24 indexed citations
19.
Ito, Hideyuki, Tsutomu Hatano, Tomoko Nakanishi, et al.. (2001). Tannins and related polyphenols, HIV reverse transcriptase inhibitors, from Rosa woodsii. 55(4). 3 indexed citations
20.
Kikuchi, Hiroshi, Eiichi Ohtsuka, Kisho Ono, et al.. (2000). Allogeneic bone marrow transplantation-related transmission of human T lymphotropic virus type I (HTLV-I). Bone Marrow Transplantation. 26(11). 1235–1237. 8 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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