Ken‐ichi Hosoya

9.2k total citations · 1 hit paper
217 papers, 7.5k citations indexed

About

Ken‐ichi Hosoya is a scholar working on Oncology, Biochemistry and Molecular Biology. According to data from OpenAlex, Ken‐ichi Hosoya has authored 217 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Oncology, 63 papers in Biochemistry and 61 papers in Molecular Biology. Recurrent topics in Ken‐ichi Hosoya's work include Drug Transport and Resistance Mechanisms (87 papers), Amino Acid Enzymes and Metabolism (60 papers) and Metabolism and Genetic Disorders (34 papers). Ken‐ichi Hosoya is often cited by papers focused on Drug Transport and Resistance Mechanisms (87 papers), Amino Acid Enzymes and Metabolism (60 papers) and Metabolism and Genetic Disorders (34 papers). Ken‐ichi Hosoya collaborates with scholars based in Japan, United States and Poland. Ken‐ichi Hosoya's co-authors include Tetsuya Terasaki, Sumio Ohtsuki, Masanori Tachikawa, Masatoshi Tomi, Hitomi Takanaga, Shin‐ichi Akanuma, Yoshiyuki Kubo, Kwang‐Jin Kim, Satoko Hori and Vincent H.L. Lee and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Advanced Drug Delivery Reviews.

In The Last Decade

Ken‐ichi Hosoya

212 papers receiving 7.3k citations

Hit Papers

Chromatographic Characterization of Silica C18 Packing Ma... 1989 2026 2001 2013 1989 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken‐ichi Hosoya Japan 46 2.5k 2.1k 1.2k 1.2k 995 217 7.5k
Masanori Tachikawa Japan 41 1.7k 0.7× 1.7k 0.8× 734 0.6× 865 0.7× 726 0.7× 150 4.9k
Sumio Ohtsuki Japan 60 4.2k 1.7× 4.6k 2.2× 1.2k 1.0× 1.9k 1.6× 2.2k 2.2× 232 11.7k
Hitomi Takanaga Japan 53 2.9k 1.1× 2.4k 1.2× 1.0k 0.8× 1.2k 1.0× 416 0.4× 88 8.2k
Mark A. Yorek United States 45 3.6k 1.4× 424 0.2× 964 0.8× 321 0.3× 715 0.7× 168 11.0k
Cecília M. P. Rodrigues Portugal 60 5.9k 2.4× 2.8k 1.4× 201 0.2× 818 0.7× 554 0.6× 260 11.9k
Kenneth Maiese United States 72 7.3k 2.9× 1.7k 0.8× 266 0.2× 472 0.4× 1.3k 1.3× 220 14.0k
Jan Albrecht Poland 41 2.2k 0.9× 378 0.2× 864 0.7× 286 0.2× 581 0.6× 187 6.3k
Zhihong Huang China 33 5.6k 2.3× 734 0.4× 428 0.4× 399 0.3× 1.9k 2.0× 135 12.5k
Carsten Culmsee Germany 60 7.0k 2.8× 1.1k 0.5× 289 0.2× 496 0.4× 1.7k 1.7× 162 12.7k
Juan P. Bolaños Spain 57 6.0k 2.4× 434 0.2× 1.1k 1.0× 479 0.4× 2.1k 2.1× 146 11.6k

Countries citing papers authored by Ken‐ichi Hosoya

Since Specialization
Citations

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

Fields of papers citing papers by Ken‐ichi Hosoya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken‐ichi Hosoya. 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 Ken‐ichi Hosoya. The network helps show where Ken‐ichi Hosoya may publish in the future.

Co-authorship network of co-authors of Ken‐ichi Hosoya

This figure shows the co-authorship network connecting the top 25 collaborators of Ken‐ichi Hosoya. A scholar is included among the top collaborators of Ken‐ichi Hosoya 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 Ken‐ichi Hosoya. Ken‐ichi Hosoya 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.
Tega, Yuma, et al.. (2024). In vitro characterization of taurine transport using the human brain microvascular endothelial cell line as a human blood-brain barrier model. Drug Metabolism and Pharmacokinetics. 61. 101040–101040. 2 indexed citations
2.
Endo, Hiroki, Masahiro Ogasawara, Yuma Tega, et al.. (2024). Upregulation of P-Glycoprotein and Breast Cancer Resistance Protein Activity in Newly Developed <i>in Vitro</i> Rat Blood–Brain Barrier Spheroids Using Advanced Glycation End-Products. Biological and Pharmaceutical Bulletin. 47(11). 1893–1903.
5.
Akanuma, Shin‐ichi, Yukiko Yoshida, Björn Bauer, et al.. (2022). Freshly isolated retinal capillaries to determine efflux transporter function at the inner BRB. Journal of Controlled Release. 343. 434–442. 5 indexed citations
7.
Akanuma, Shin‐ichi, et al.. (2019). Organic anion-transporting polypeptide 1a4–mediated heterogeneous distribution of sulforhodamine-101 in rat hepatic lobules. Drug Metabolism and Pharmacokinetics. 34(4). 239–246. 6 indexed citations
8.
9.
Tomi, Masatoshi, Shin‐ichi Akanuma, Akiko Tabuchi, et al.. (2011). Up-regulation of l-Type Amino Acid Transporter 1 (LAT1) in Cultured Rat Retinal Capillary Endothelial Cells in Response to Glucose Deprivation. Drug Metabolism and Pharmacokinetics. 27(3). 317–324. 15 indexed citations
10.
Tachikawa, Masanori, et al.. (2011). Inner Blood–Retinal Barrier Mediates L-Isomer-Predominant Transport of Serine. Journal of Pharmaceutical Sciences. 100(9). 3892–3903. 10 indexed citations
11.
Akanuma, Shin‐ichi, Yasuo Uchida, Sumio Ohtsuki, et al.. (2011). Molecular-weight-dependent, Anionic-substrate-preferential Transport of β-Lactam Antibiotics via Multidrug Resistance-associated Protein 4. Drug Metabolism and Pharmacokinetics. 26(6). 602–611. 23 indexed citations
12.
Hosoya, Ken‐ichi, et al.. (2010). Response of Rat Retinal Capillary Pericytes and Endothelial Cells to Glucose. Journal of Ocular Pharmacology and Therapeutics. 27(1). 7–15. 16 indexed citations
13.
Kador, Peter F., et al.. (2009). Polyol Formation in Cell Lines of Rat Retinal Capillary Pericytes and Endothelial Cells (TR-rPCT and TR-iBRB). Journal of Ocular Pharmacology and Therapeutics. 25(4). 299–307. 14 indexed citations
14.
Tomi, Masatoshi, et al.. (2006). Functional and molecular characterization of adenosine transport at the rat inner blood–retinal barrier. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1758(1). 13–19. 40 indexed citations
15.
Ohtsuki, Sumio, Atsushi Kurihara, Hideo Naganuma, et al.. (2004). Brain Insulin Impairs Amyloid-β(1-40) Clearance from the Brain. Journal of Neuroscience. 24(43). 9632–9637. 84 indexed citations
16.
Fernandes, Rosa, Ana Luı́sa Carvalho, Raquel Seiça, et al.. (2004). Downregulation of retinal GLUT1 in diabetes by the ubiquitin proteasome pathway. Investigative Ophthalmology & Visual Science. 45(13). 3255–3255. 1 indexed citations
17.
Hosoya, Ken‐ichi, Masatoshi Tomi, Daisuke Nakai, et al.. (2004). Transporter mRNA Expression in a Conditionally Immortalized Rat Small Intestine Epithelial Cell Line (TR-SIE). Drug Metabolism and Pharmacokinetics. 19(4). 264–269. 8 indexed citations
18.
Hosoya, Ken‐ichi, et al.. (2002). Overexpression of GLUT1 and Increased Glucose Transport Leads to Apoptosis in Retinal Endothelial Cells. Investigative Ophthalmology & Visual Science. 43(13). 1342–1342. 1 indexed citations
19.
Kang, Young‐Sook, Sumio Ohtsuki, Hitomi Takanaga, et al.. (2002). Regulation of taurine transport at the blood–brain barrier by tumor necrosis factor‐α, taurine and hypertonicity. Journal of Neurochemistry. 83(5). 1188–1195. 101 indexed citations
20.
Hosoya, Ken‐ichi, Tetsu Kondo, Masatoshi Tomi, et al.. (2001). MCT1-Mediated Transport of L-Lactic Acid at the Inner Blood–Retinal Barrier: A Possible Route for Delivery of Monocarboxylic Acid Drugs to the Retina. Pharmaceutical Research. 18(12). 1669–1676. 79 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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