Akihiko Goto

564 total citations
33 papers, 432 citations indexed

About

Akihiko Goto is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, Akihiko Goto has authored 33 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Plant Science. Recurrent topics in Akihiko Goto's work include Drug Transport and Resistance Mechanisms (6 papers), Plant Physiology and Cultivation Studies (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Akihiko Goto is often cited by papers focused on Drug Transport and Resistance Mechanisms (6 papers), Plant Physiology and Cultivation Studies (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Akihiko Goto collaborates with scholars based in Japan, Cambodia and United States. Akihiko Goto's co-authors include Yoshiko Koshita, Toshio Takahara, Tatsushi Ogata, Ikumi Tamai, Akira Tsuji, Jun‐ichi Nezu, Shigeki Sugiura, Tomoji Maeda, Tsuyoshi Yokoi and Takashi Nozawa and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Akihiko Goto

31 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akihiko Goto Japan 11 172 170 134 53 50 33 432
Se-Ra Lee South Korea 13 199 1.2× 18 0.1× 49 0.4× 44 0.8× 34 0.7× 35 407
Mei Zhao China 12 283 1.6× 20 0.1× 37 0.3× 36 0.7× 12 0.2× 21 477
J.S. Kim South Korea 10 139 0.8× 49 0.3× 51 0.4× 16 0.3× 15 0.3× 16 370
Hongli Zhu China 12 194 1.1× 19 0.1× 53 0.4× 16 0.3× 12 0.2× 48 423
Fumiaki Uchiyama Japan 8 168 1.0× 21 0.1× 17 0.1× 22 0.4× 14 0.3× 9 411
Bobak Parang United States 9 236 1.4× 25 0.1× 117 0.9× 9 0.2× 15 0.3× 15 518
Francisco Chung United States 10 123 0.7× 19 0.1× 124 0.9× 58 1.1× 26 0.5× 13 345
Kenta Kajiwara Japan 10 137 0.8× 31 0.2× 42 0.3× 17 0.3× 21 0.4× 17 377

Countries citing papers authored by Akihiko Goto

Since Specialization
Citations

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

Fields of papers citing papers by Akihiko Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiko Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiko Goto. A scholar is included among the top collaborators of Akihiko Goto 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 Akihiko Goto. Akihiko Goto 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.
Goto, Akihiko, et al.. (2024). DMPK perspective on quantitative model analysis for chimeric antigen receptor cell therapy: Advances and challenges. Drug Metabolism and Pharmacokinetics. 56. 101003–101003. 2 indexed citations
2.
Sato, Sho, Siyu Liu, Akihiko Goto, et al.. (2023). Advanced translational PBPK model for transferrin receptor-mediated drug delivery to the brain. Journal of Controlled Release. 357. 379–393. 14 indexed citations
3.
Nakamura, Shinji, Masahiro Kamaura, Natsuko Nakamura, et al.. (2021). Discovery of phenylpyrrolidine derivatives as a novel class of retinol binding protein 4 (RBP4) reducers. Bioorganic & Medicinal Chemistry. 54. 116553–116553. 2 indexed citations
4.
5.
Yamamoto, S., et al.. (2020). Quantitative PCR methodology with a volume-based unit for the sophisticated cellular kinetic evaluation of chimeric antigen receptor T cells. Scientific Reports. 10(1). 17884–17884. 17 indexed citations
6.
7.
Goto, Akihiko, Yoshihiko Tagawa, Sho Sato, et al.. (2017). Influence of body composition on disposition of the highly fat distributed compound as analysed by physiologically based pharmacokinetic (PBPK) modeling and simulation. Biopharmaceutics & Drug Disposition. 38(9). 543–552. 1 indexed citations
8.
Goto, Akihiko, Yoshihiko Tagawa, Sho Sato, et al.. (2017). Impact of acute fat mobilisation on the pharmacokinetics of the highly fat distributed compound TAK‐357, investigated by physiologically based pharmacokinetic (PBPK) modeling and simulation. Biopharmaceutics & Drug Disposition. 38(6). 373–380. 2 indexed citations
9.
Goto, Akihiko, et al.. (2017). Influence of the pharmacokinetic profile on the plasma glucose lowering effect of the PPARγ agonist pioglitazone in Wistar fatty rats. Biopharmaceutics & Drug Disposition. 38(6). 381–388. 2 indexed citations
10.
Nakakariya, Masanori, Akihiko Goto, & Nobuyuki Amano. (2016). Appropriate risk criteria for OATP inhibition at the drug discovery stage based on the clinical relevancy between OATP inhibitors and drug-induced adverse effect. Drug Metabolism and Pharmacokinetics. 31(5). 333–339. 8 indexed citations
11.
Goto, Akihiko, Tomonari Wakabayashi, Tetsuya Tsukamoto, et al.. (2016). Disposition of the Highly Fat Distributed Compound 1-(4-Methoxyphenyl)-4-(2,2,4,6,7-Pentamethyl -2,3-Dihydro-1-Benzofuran-5-yl)Piperazine (TAK-357) in Rats and Dogs. Drug Research. 67(1). 38–45. 4 indexed citations
12.
Maeda, Tomoji, Akihiko Goto, Daisuke Kobayashi, & Ikumi Tamai. (2007). Transport of Organic Cations across the Blood−Testis Barrier. Molecular Pharmaceutics. 4(4). 600–607. 23 indexed citations
13.
Yamada, Yasuhide, Akihiko Goto, Takashi Ura, et al.. (2005). Prognostic and predictive significance of insulin-like growth factor-1 receptor (IGF-1R), epidermal growth factor receptor (EGFR), and HER2 in metastatic colorectal cancer. Journal of Clinical Oncology. 23(16_suppl). 9649–9649. 2 indexed citations
14.
Kobayashi, Daisuke, Akihiko Goto, Tomoji Maeda, et al.. (2005). OCTN2-mediated transport of carnitine in isolated Sertoli cells. Reproduction. 129(6). 729–736. 33 indexed citations
15.
Nozawa, Takashi, Shigeki Sugiura, Miki Nakajima, et al.. (2004). INVOLVEMENT OF ORGANIC ANION TRANSPORTING POLYPEPTIDES IN THE TRANSPORT OF TROGLITAZONE SULFATE: IMPLICATIONS FOR UNDERSTANDING TROGLITAZONE HEPATOTOXICITY. Drug Metabolism and Disposition. 32(3). 291–294. 89 indexed citations
16.
Koshita, Yoshiko, Toshio Takahara, Tatsushi Ogata, & Akihiko Goto. (1999). Involvement of endogenous plant hormones (IAA, ABA, GAs) in leaves and flower bud formation of satsuma mandarin (Citrus unshiu Marc.). Scientia Horticulturae. 79(3-4). 185–194. 107 indexed citations
17.
18.
Goto, Akihiko, et al.. (1982). . NIPPON SHOKUHIN KOGYO GAKKAISHI. 29(3). 155–159. 2 indexed citations
19.
Endõ, Ryūichi, Akihiko Goto, Hiroshi Okano, & Hidehiko Arai. (1979). Solution behavior of [(ethylene‐co‐vinyl alcohol)‐g‐ethylene oxide] graft copolymers. Journal of Polymer Science Polymer Physics Edition. 17(4). 645–654. 3 indexed citations
20.
Goto, Akihiko & Masao Kametaka. (1975). . Nippon Nōgeikagaku Kaishi. 49(4). 197–203.

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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