Yu Toyoda

2.3k total citations
61 papers, 1.3k citations indexed

About

Yu Toyoda is a scholar working on Nephrology, Oncology and Molecular Biology. According to data from OpenAlex, Yu Toyoda has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Nephrology, 21 papers in Oncology and 18 papers in Molecular Biology. Recurrent topics in Yu Toyoda's work include Gout, Hyperuricemia, Uric Acid (25 papers), Drug Transport and Resistance Mechanisms (20 papers) and Alcohol Consumption and Health Effects (9 papers). Yu Toyoda is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (25 papers), Drug Transport and Resistance Mechanisms (20 papers) and Alcohol Consumption and Health Effects (9 papers). Yu Toyoda collaborates with scholars based in Japan, Czechia and United States. Yu Toyoda's co-authors include Tappei Takada, Hiroshi Suzuki, Toshihisa Ishikawa, Hirotaka Matsuo, Hiroshi Miyata, Kimiyoshi Ichida, Hiroshi Nakagawa, Hiroshi Suzuki, Yoshihide Yamanashi and Kazuyuki Hoshijima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Yu Toyoda

55 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Toyoda Japan 22 457 419 386 272 170 61 1.3k
Hideharu Domoto Japan 10 556 1.2× 582 1.4× 261 0.7× 584 2.1× 227 1.3× 28 1.7k
Mieko Iwahashi United States 19 506 1.1× 413 1.0× 113 0.3× 395 1.5× 355 2.1× 27 1.4k
Takanori Komada Japan 22 1.2k 2.6× 150 0.4× 445 1.2× 314 1.2× 180 1.1× 42 2.0k
Eugene O. Apostolov United States 23 480 1.1× 74 0.2× 272 0.7× 181 0.7× 128 0.8× 33 1.4k
Warren E. Glaab United States 21 974 2.1× 206 0.5× 187 0.5× 133 0.5× 115 0.7× 53 1.7k
Janny G.P. Peters Netherlands 18 552 1.2× 533 1.3× 115 0.3× 168 0.6× 51 0.3× 23 1.3k
Thomas C. Knauss United States 19 400 0.9× 168 0.4× 148 0.4× 351 1.3× 88 0.5× 33 1.4k
Carl Whatling Sweden 23 383 0.8× 174 0.4× 85 0.2× 236 0.9× 178 1.0× 44 1.5k
Jen‐Pi Tsai Taiwan 19 383 0.8× 115 0.3× 169 0.4× 155 0.6× 182 1.1× 101 1.1k

Countries citing papers authored by Yu Toyoda

Since Specialization
Citations

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

Fields of papers citing papers by Yu Toyoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Toyoda

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Toyoda. A scholar is included among the top collaborators of Yu Toyoda 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 Yu Toyoda. Yu Toyoda 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.
Toyoda, Yu, et al.. (2025). Structural basis of urate transport by glucose transporter 9. Cell Reports. 44(4). 115514–115514. 2 indexed citations
2.
Hara, Satoshi, Takeshi Kusunoki, Hiroshi Nakagawa, et al.. (2024). Impact of Reduced Acidic Earwax pH and Earwax‐Determinant Genotypes in Acquired Middle Ear Cholesteatoma. Otolaryngology. 171(5). 1511–1517.
3.
Yasujima, Tomoya, Hirotaka Matsuo, Yu Toyoda, et al.. (2024). Functional characteristics of equilibrative nucleoside transporter 2 (ENT2/SLC29A2) for the transport of urate as a newly identified substrate. Drug Metabolism and Pharmacokinetics. 62. 101048–101048.
4.
Nakayama, Akiyoshi, Masafumi Kurajoh, Yu Toyoda, et al.. (2023). Dysuricemia. Biomedicines. 11(12). 3169–3169. 10 indexed citations
5.
Toyoda, Yu, et al.. (2023). SVCT2/SLC23A2 is a sodium-dependent urate transporter: functional properties and practical application. Journal of Biological Chemistry. 299(8). 104976–104976. 3 indexed citations
6.
Toyoda, Yu, Sung Kweon Cho, Velibor Tasić, et al.. (2023). Identification of a dysfunctional exon-skipping splice variant in GLUT9/SLC2A9 causal for renal hypouricemia type 2. Frontiers in Genetics. 13. 1048330–1048330. 6 indexed citations
7.
Nakayama, Akiyoshi, Yusuke Kawamura, Yu Toyoda, et al.. (2021). Genetic epidemiological analysis of hypouricaemia from 4993 Japanese on non-functional variants of URAT1/SLC22A12 gene. Lara D. Veeken. 61(3). 1276–1281. 10 indexed citations
8.
Nakatochi, Masahiro, Yu Toyoda, Masahiro Kanai, et al.. (2021). An X chromosome-wide meta-analysis based on Japanese cohorts revealed that non-autosomal variations are associated with serum urate. Lara D. Veeken. 60(9). 4430–4432. 2 indexed citations
9.
Toyoda, Yu, Yusuke Kawamura, Akiyoshi Nakayama, et al.. (2021). Substantial anti-gout effect conferred by common and rare dysfunctional variants of URAT1/SLC22A12. Lara D. Veeken. 60(11). 5224–5232. 12 indexed citations
10.
Sakiyama, Masayuki, Hirotaka Matsuo, Yu Toyoda, et al.. (2021). Porphyrin accumulation in humans with common dysfunctional variants of ABCG2, a porphyrin transporter: potential association with acquired photosensitivity. Human Cell. 34(4). 1082–1086. 5 indexed citations
11.
Toyoda, Yu, Tappei Takada, Hiroshi Miyata, et al.. (2020). Identification of GLUT12/SLC2A12 as a urate transporter that regulates the blood urate level in hyperuricemia model mice. Proceedings of the National Academy of Sciences. 117(31). 18175–18177. 28 indexed citations
12.
Takada, Tappei, Takehito Yamamoto, Hirotaka Matsuo, et al.. (2018). Identification of ABCG2 as an Exporter of Uremic Toxin Indoxyl Sulfate in Mice and as a Crucial Factor Influencing CKD Progression. Scientific Reports. 8(1). 11147–11147. 53 indexed citations
13.
Toyoda, Yu, et al.. (2017). Clinical and Molecular Evidence of ABCC11 Protein Expression in Axillary Apocrine Glands of Patients with Axillary Osmidrosis. International Journal of Molecular Sciences. 18(2). 417–417. 19 indexed citations
14.
15.
Toyoda, Yu, Tappei Takada, Hiroshi Miyata, Toshihisa Ishikawa, & Hiroshi Suzuki. (2016). Regulation of the Axillary Osmidrosis-Associated ABCC11 Protein Stability by N-Linked Glycosylation: Effect of Glucose Condition. PLoS ONE. 11(6). e0157172–e0157172. 17 indexed citations
16.
Ito, Naoki, Kousei Ito, Yuki Ikebuchi, et al.. (2015). Prediction of Drug Transfer into Milk Considering Breast Cancer Resistance Protein (BCRP)-Mediated Transport. Pharmaceutical Research. 32(8). 2527–37. 30 indexed citations
17.
Ito, Naoki, Kousei Ito, Yuki Ikebuchi, et al.. (2014). Organic Cation Transporter/Solute Carrier Family 22a is Involved in Drug Transfer into Milk in Mice. Journal of Pharmaceutical Sciences. 103(10). 3342–3348. 24 indexed citations
19.
Toyoda, Yu, et al.. (2008). MRP class of human ATP binding cassette (ABC) transporters: historical background and new research directions. Xenobiotica. 38(7-8). 833–862. 95 indexed citations
20.
Tashiro, Tsuguhiko, Hideo Yamamori, Naganori Hayashi, et al.. (1997). N-3 vs N-6 POLYUNSATURATED FATTY ACIDS (PUFA) IN CRITICAL ILLNESS. 31(3). 107–110.

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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