Kiyoshi Ohtani

5.9k total citations · 2 hit papers
78 papers, 5.0k citations indexed

About

Kiyoshi Ohtani is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Kiyoshi Ohtani has authored 78 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 32 papers in Immunology and 28 papers in Oncology. Recurrent topics in Kiyoshi Ohtani's work include T-cell and Retrovirus Studies (28 papers), Cancer-related Molecular Pathways (26 papers) and Animal Disease Management and Epidemiology (25 papers). Kiyoshi Ohtani is often cited by papers focused on T-cell and Retrovirus Studies (28 papers), Cancer-related Molecular Pathways (26 papers) and Animal Disease Management and Epidemiology (25 papers). Kiyoshi Ohtani collaborates with scholars based in Japan, United States and United Kingdom. Kiyoshi Ohtani's co-authors include Joseph R. Nevins, James DeGregori, Kazuo Sugamura, Masataka Nakamura, D. Gale Johnson, Ritsuko Iwanaga, Masataka Nakamura, Hironobu Asao, Satoru Kumaki and Nobuyuki Tanaka and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Kiyoshi Ohtani

77 papers receiving 4.9k citations

Hit Papers

Cloning of the γ Chain of... 1992 2026 2003 2014 1992 1995 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiyoshi Ohtani Japan 33 2.6k 2.1k 1.9k 808 801 78 5.0k
James C. Mulloy United States 41 4.0k 1.5× 2.0k 1.0× 1.3k 0.7× 713 0.9× 703 0.9× 114 6.7k
Tetsuya Nosaka Japan 37 3.2k 1.2× 3.3k 1.6× 2.4k 1.3× 619 0.8× 571 0.7× 120 7.7k
Jun–ichi Fujisawa Japan 40 3.0k 1.2× 3.0k 1.4× 1.1k 0.6× 1.8k 2.2× 1.7k 2.1× 101 6.5k
Ramón Garcı́a-Escudero Spain 33 1.6k 0.6× 598 0.3× 828 0.4× 531 0.7× 314 0.4× 82 3.2k
Michiyuki Maeda Japan 30 865 0.3× 2.4k 1.1× 566 0.3× 757 0.9× 654 0.8× 72 3.5k
W C Greene United States 23 1.1k 0.4× 2.3k 1.1× 552 0.3× 393 0.5× 353 0.4× 45 3.4k
Masaya Higuchi Japan 27 796 0.3× 1.2k 0.6× 551 0.3× 469 0.6× 471 0.6× 78 2.5k
Jacob-S. Seeler France 30 3.8k 1.5× 809 0.4× 1.0k 0.5× 156 0.2× 155 0.2× 35 4.5k
Rémy Bosselut United States 38 1.6k 0.6× 3.2k 1.6× 893 0.5× 160 0.2× 160 0.2× 82 4.5k
Isao Hamaguchi Japan 23 1.9k 0.7× 873 0.4× 488 0.3× 223 0.3× 213 0.3× 122 3.2k

Countries citing papers authored by Kiyoshi Ohtani

Since Specialization
Citations

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

Fields of papers citing papers by Kiyoshi Ohtani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyoshi Ohtani

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Ohtani. A scholar is included among the top collaborators of Kiyoshi Ohtani 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 Kiyoshi Ohtani. Kiyoshi Ohtani 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, Ritsuko, et al.. (2025). Transcriptional Activation Mechanisms and Target Genes of the Oncogene Product Tax of Human T-Cell Leukemia Virus Type 1. Genes. 16(10). 1221–1221. 1 indexed citations
2.
Kamiya, Yuki, Ritsuko Iwanaga, Andrew P. Bradford, et al.. (2024). DEAD/H Box 5 (DDX5) Augments E2F1-Induced Cell Death Independent of the Tumor Suppressor p53. International Journal of Molecular Sciences. 25(24). 13251–13251. 1 indexed citations
4.
Araki, Keigo, et al.. (2024). Non-canonical olfactory pathway activation induces cell fusion of cervical cancer cells. Neoplasia. 57. 101044–101044. 1 indexed citations
6.
Iwanaga, Ritsuko, et al.. (2023). Deregulated E2F Activity as a Cancer-Cell Specific Therapeutic Tool. Genes. 14(2). 393–393. 12 indexed citations
7.
Iwanaga, Ritsuko, et al.. (2023). Expanding Roles of the E2F-RB-p53 Pathway in Tumor Suppression. Biology. 12(12). 1511–1511. 17 indexed citations
8.
Komori, Hideyuki, et al.. (2023). The TFDP1 gene coding for DP1, the heterodimeric partner of the transcription factor E2F, is a target of deregulated E2F. Biochemical and Biophysical Research Communications. 663. 154–162. 9 indexed citations
9.
Komori, Hideyuki, Eiko Ozono, Ritsuko Iwanaga, et al.. (2018). Differential requirement for dimerization partner DP between E2F-dependent activation of tumor suppressor and growth-related genes. Scientific Reports. 8(1). 8438–8438. 12 indexed citations
10.
Araki, Keigo, et al.. (2018). Mitochondrial protein E2F3d, a distinctive E2F3 product, mediates hypoxia-induced mitophagy in cancer cells. Communications Biology. 2(1). 3–3. 20 indexed citations
11.
Okuda, Masahiko, Keigo Araki, Kiyoshi Ohtani, & Yoshifumi Nishimura. (2016). The Interaction Mode of the Acidic Region of the Cell Cycle Transcription Factor DP1 with TFIIH. Journal of Molecular Biology. 428(24). 4993–5006. 10 indexed citations
12.
Ma, Teng, et al.. (2011). Inability of p53-reactivating compounds Nutlin-3 and RITA to overcome p53 resistance in tumor cells deficient in p53Ser46 phosphorylation. Biochemical and Biophysical Research Communications. 417(3). 931–937. 12 indexed citations
13.
Ohno, Yoshinori, Shin’ichiro Yasunaga, Motoaki Ohtsubo, et al.. (2010). Hoxb4 transduction down-regulates Geminin protein, providing hematopoietic stem and progenitor cells with proliferation potential. Proceedings of the National Academy of Sciences. 107(50). 21529–21534. 23 indexed citations
14.
Gohda, Jin, Yuetsu Tanaka, Shintaro Sato, et al.. (2007). HTLV-1 Tax-induced NFκB activation is independent of Lys-63-linked-type polyubiquitination. Biochemical and Biophysical Research Communications. 357(1). 225–230. 21 indexed citations
15.
Iwanaga, Ritsuko, Hideyuki Komori, Susumu Ishida, et al.. (2005). Identification of novel E2F1 target genes regulated in cell cycle-dependent and independent manners. Oncogene. 25(12). 1786–1798. 55 indexed citations
16.
Ohtani, Kiyoshi & Masataka Nakamura. (2003). MOLECULAR MECHANISMS OF Tax-MEDIATED CELL GROWTH OF HUMAN T LYMPHOCYTES. 50. 43–60. 1 indexed citations
17.
Funato, Noriko, Kiyoshi Ohtani, Kimie Ohyama, Takayuki Kuroda, & Masataka Nakamura. (2001). Common Regulation of Growth Arrest and Differentiation of Osteoblasts by Helix-Loop-Helix Factors. Molecular and Cellular Biology. 21(21). 7416–7428. 107 indexed citations
18.
Ohtani, Kiyoshi. (1999). Implication of transcription factor E2F in regulation of DNA replication. Frontiers in bioscience. 4(1-3). d793–d793. 44 indexed citations
20.
Ohtani, Kiyoshi, et al.. (1989). Electroporation: application to human lympboid cell lines for stable introduction of a transactivator gene of human T-cell leukemia virus type I. Nucleic Acids Research. 17(4). 1589–1604. 80 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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