Mikihiko Naito

1.0k total citations
18 papers, 913 citations indexed

About

Mikihiko Naito is a scholar working on Molecular Biology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mikihiko Naito has authored 18 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mikihiko Naito's work include Drug Transport and Resistance Mechanisms (7 papers), Cancer therapeutics and mechanisms (5 papers) and Pharmacological Effects and Toxicity Studies (4 papers). Mikihiko Naito is often cited by papers focused on Drug Transport and Resistance Mechanisms (7 papers), Cancer therapeutics and mechanisms (5 papers) and Pharmacological Effects and Toxicity Studies (4 papers). Mikihiko Naito collaborates with scholars based in Japan. Mikihiko Naito's co-authors include T Tsuruo, Takashi Tsuruo, Motowo Nakajima, Takashi Tsuruo, Wakao Sato, Hirotami Matsuo, Hisakazu Ohtani, Akihiro Tomida, Yasufumi Sawada and Taro Ishiguro and has published in prestigious journals such as Oncogene, Biochemical and Biophysical Research Communications and Journal of Hepatology.

In The Last Decade

Mikihiko Naito

18 papers receiving 899 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikihiko Naito Japan 13 533 418 134 84 68 18 913
Pamela K. Smitherman United States 18 652 1.2× 327 0.8× 85 0.6× 93 1.1× 10 0.1× 20 1.0k
Tianxin Yang China 21 671 1.3× 170 0.4× 36 0.3× 79 0.9× 100 1.5× 30 1.2k
Steadman D. Harrison United States 15 543 1.0× 242 0.6× 30 0.2× 39 0.5× 118 1.7× 53 888
Tianlu Shi China 9 515 1.0× 394 0.9× 53 0.4× 71 0.8× 24 0.4× 20 996
Luigi Candussio Italy 15 231 0.4× 255 0.6× 111 0.8× 57 0.7× 10 0.1× 42 664
Véronique Bourgarel‐Rey France 22 526 1.0× 277 0.7× 42 0.3× 69 0.8× 27 0.4× 30 1.1k
Qiangrong Pan China 13 689 1.3× 203 0.5× 25 0.2× 76 0.9× 116 1.7× 16 967
Felicia Fei‐Lei Chung Malaysia 21 737 1.4× 327 0.8× 29 0.2× 79 0.9× 37 0.5× 44 1.3k
Michael J. Hafey United States 10 579 1.1× 525 1.3× 125 0.9× 112 1.3× 8 0.1× 16 985
Kerrie B. Bouker United States 17 742 1.4× 481 1.2× 25 0.2× 51 0.6× 37 0.5× 27 1.4k

Countries citing papers authored by Mikihiko Naito

Since Specialization
Citations

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

Fields of papers citing papers by Mikihiko Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikihiko Naito

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

All Works

18 of 18 papers shown
1.
Matsuo, Hirotami, et al.. (2000). Effect of bioflavonoids on vincristine transport across blood–brain barrier. European Journal of Pharmacology. 395(3). 193–201. 132 indexed citations
2.
Dohgu, Shinya, Hiroaki Ikesue, Mikihiko Naito, et al.. (2000). Involvement of Glial Cells in Cyclosporine-Increased Permeability of Brain Endothelial Cells. Cellular and Molecular Neurobiology. 20(6). 781–786. 26 indexed citations
3.
Nagawa, Hirokazu, et al.. (2000). Analysis of Novel Metastasis‐associated Gene TI‐227. Japanese Journal of Cancer Research. 91(4). 390–394. 3 indexed citations
4.
Matsuo, Hirotami, et al.. (2000). Efficient Introduction of Macromolecules and Oligonucleotides into Brain Capillary Endothelial Cells Using HVJ-Liposomes. Journal of drug targeting. 8(4). 207–216. 7 indexed citations
5.
Chen, Zhihong, Hiroyuki Seimiya, Mikihiko Naito, et al.. (1999). ASK1 mediates apoptotic cell death induced by genotoxic stress. Oncogene. 18(1). 173–180. 156 indexed citations
6.
Homma, M., Hiroshi Suzuki, Hiroyuki Kusuhara, et al.. (1999). High-Affinity Efflux Transport System for Glutathione Conjugates on the Luminal Membrane of a Mouse Brain Capillary Endothelial Cell Line (MBEC4). Journal of Pharmacology and Experimental Therapeutics. 288(1). 198–203. 37 indexed citations
7.
Mikami, Koji, Mikihiko Naito, Hideaki Yano, et al.. (1998). Immunological Quantitation of DT‐Diaphorase in Carcinoma Cell Lines and Clinical Colon Cancers: Advanced Tumors Express Greater Levels of DT‐Diaphorase. Japanese Journal of Cancer Research. 89(9). 910–915. 48 indexed citations
8.
Watanabe, Toru, et al.. (1996). Modulation of Multidrug Resistance by SDZ PSC 833 in Leukemic and Solid‐tumor‐bearing Mouse Models. Japanese Journal of Cancer Research. 87(2). 184–193. 12 indexed citations
9.
Fujita, Naoya, Yukinari Kato, Mikihiko Naito, & Takashi Tsuruo. (1996). A novel anti-Thy-1 (CD90) monoclonal antibody induces apoptosis in mouse malignant T-lymphoma cells in spite of inducing bcl-2 expression. International Journal of Cancer. 66(4). 544–550. 20 indexed citations
10.
Mikami, Koji, et al.. (1996). DT-diaphorase as a critical determinant of sensitivity to mitomycin C in human colon and gastric carcinoma cell lines.. PubMed. 56(12). 2823–6. 72 indexed citations
11.
Ishiguro, Taro, Motowo Nakajima, Mikihiko Naito, Tetsuichiro Muto, & T. Tsuruo. (1996). Identification of genes differentially expressed in B16 murine melanoma sublines with different metastatic potentials.. PubMed. 56(4). 875–9. 91 indexed citations
12.
Suzuki, Hiroshi, Yasufumi Sawada, Mikihiko Naito, et al.. (1995). Induction of hepatic P-glycoprotein enhances biliary excretion of vincristine in rats. Journal of Hepatology. 23(4). 440–448. 37 indexed citations
13.
Ishida, H., Masami Okabe, Katsushige Gomi, et al.. (1994). Modulation of Adriamycin Resistance in Human Breast Carcinoma MCF‐7 Cells in vitro and in vivo by Medroxyprogesterone Acetate. Japanese Journal of Cancer Research. 85(5). 542–549. 7 indexed citations
14.
Kataoka, Shiro, Mikihiko Naito, Naoya Fujita, et al.. (1993). Control of Apoptosis and Growth of Malignant T Lymphoma Cells by Lymph Node Stromal Cells. Experimental Cell Research. 207(2). 271–276. 26 indexed citations
15.
Naito, Mikihiko, et al.. (1993). Enhancement of Reversing Effect of Cyclosporin A on Vincristine Resistance by Anti‐P‐glycoprotein Monoclonal Antibody MRK‐16. Japanese Journal of Cancer Research. 84(5). 489–492. 7 indexed citations
16.
Fujita, Naoya, Shinichi Kataoka, Mikihiko Naito, et al.. (1993). Suppression of T-lymphoma cell apoptosis by monoclonal antibodies raised against cell surface adhesion molecules.. PubMed. 53(20). 5022–7. 26 indexed citations
17.
Sato, Wakao, et al.. (1990). Staurosporine, a potent inhibitor of C-kinase, enhances drug accumulation in multidrug-resistant cells. Biochemical and Biophysical Research Communications. 173(3). 1252–1257. 83 indexed citations
18.
Naito, Mikihiko & T Tsuruo. (1989). Competitive inhibition by verapamil of ATP-dependent high affinity vincristine binding to the plasma membrane of multidrug-resistant K562 cells without calcium ion involvement.. PubMed. 49(6). 1452–5. 123 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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