Kimitoshi Kohno

700 total citations
13 papers, 604 citations indexed

About

Kimitoshi Kohno is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Kimitoshi Kohno has authored 13 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Kimitoshi Kohno's work include Cancer therapeutics and mechanisms (4 papers), Bioactive Compounds and Antitumor Agents (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Kimitoshi Kohno is often cited by papers focused on Cancer therapeutics and mechanisms (4 papers), Bioactive Compounds and Antitumor Agents (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Kimitoshi Kohno collaborates with scholars based in Japan and United Kingdom. Kimitoshi Kohno's co-authors include M Kuwano, Takeshi Uchiumi, Keizo Sugimachi, Michihiko Kuwano, Kenji Sugio, Kotaro Shibahara, Kosei Yasumoto, Yoshihiko Maehara, T Osaki and Morimasa Wada and has published in prestigious journals such as Hepatology, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Kimitoshi Kohno

13 papers receiving 591 citations

Peers

Kimitoshi Kohno
Comparison fields: 5 of 76
  • Molecular Biology 458
  • Oncology 222
  • Cancer Research 85
  • Immunology 54
  • Surgery 47
Xiaobo Cao United States
Lucas B. Murray United States
Takeo Shimasaki Japan
Ami Albihn Sweden
Manoj Kumar Karuppusamy Rathinam United States
W. Roy Smythe United States
Laura Di Magno Italy
Sabine Häcker Germany
Olga Surova Sweden
Xiaobo Cao United States View profile →
Citations per field, relative to Kimitoshi Kohno
Kimitoshi Kohno · 1×
Citations per year, relative to Kimitoshi Kohno
Kimitoshi Kohno · 1×

Countries citing papers authored by Kimitoshi Kohno

Since Specialization
Citations

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

Fields of papers citing papers by Kimitoshi Kohno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimitoshi Kohno

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

All Works

13 of 13 papers shown
# Title Journal Authors Indexed citations
1 Elevated expression of vacuolar proton pump genes and cellular ph in cisplatin resistance International Journal of Cancer Tadashi Murakami, Izumi Shibuya et al. 125
2 Nuclear expression of the Y-box binding protein, YB-1, as a novel marker of disease progression in non-small cell lung cancer. PubMed Kotaro Shibahara, Kenji Sugio et al. 151
3 The human multidrug resistance protein 2 gene: Functional characterization of the 5′-flanking region and expression in hepatic cells Hepatology Toshiya Tanaka, Takeshi Uchiumi et al. 71
4 Structural basis for the regulation of UDP-N-acetyl-alpha-D-galactosamine: polypeptide N-acetylgalactosaminyl transferase-3 gene expression in adenocarcinoma cells. PubMed Minoru Nomoto, Hideki Izumi et al. 44
5 Significance of the expression of proliferation-associated nucleolar antigen p120 in human colorectal tumors Human Pathology Takashi Ueki, Yoshifumi Nakayama et al. 18
6 Angiogenesis as a new target for cancer treatment Cancer Chemotherapy and Pharmacology Midori Ono, Hiroto Izumi et al. 7
7 Drug-induced down-regulation of topoisomerase I in human epidermoid cancer cells resistant to saintopin and camptothecins. PubMed K. Taniguchi, Kimitoshi Kohno et al. 22
8 DNA topoisomerase II alpha gene expression under transcriptional control in etoposide/teniposide-resistant human cancer cells. PubMed Takeshi Kubo, Kimitoshi Kohno et al. 51
9 Rapid turnover of low density lipoprotein receptor in human monocytic THP‐1 cells FEBS Letters Ryoji Hamanaka, T Seguchi et al. 7
10 Drug resistance to cis-diamminedichloroplatinum(II) in chinese hamster ovary cell lines transfected with glutathione S-transferase pi gene Biochemical and Biophysical Research Communications Miki Miyazaki, Kimitoshi Kohno et al. 53
11 Expression of ret Proto‐oncogene in Human Neuroblastomas Japanese Journal of Cancer Research Minako Nagao, Yukihito Ishizaka et al. 38
12 Altered Expression of Epidermal Growth Factor Receptor Gene in a Classical Multidrug‐resistant Variant of a Human Cancer Cell Line, KB Japanese Journal of Cancer Research Hiroshi Takano, Kimitoshi Kohno et al. 10
13 Potentiation by a biscoclaurine alkaloid, cepharanthine, of the toxicity of conjugates of epidermal growth factor with Pseudomonas exotoxin in HeLa cells. PubMed Norio Shiraishi, Tsutomu Shimada et al. 7

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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