Tappei Takada

6.3k total citations
113 papers, 2.8k citations indexed

About

Tappei Takada is a scholar working on Oncology, Surgery and Nephrology. According to data from OpenAlex, Tappei Takada has authored 113 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Oncology, 48 papers in Surgery and 40 papers in Nephrology. Recurrent topics in Tappei Takada's work include Drug Transport and Resistance Mechanisms (47 papers), Gout, Hyperuricemia, Uric Acid (39 papers) and Cholesterol and Lipid Metabolism (25 papers). Tappei Takada is often cited by papers focused on Drug Transport and Resistance Mechanisms (47 papers), Gout, Hyperuricemia, Uric Acid (39 papers) and Cholesterol and Lipid Metabolism (25 papers). Tappei Takada collaborates with scholars based in Japan, United States and Czechia. Tappei Takada's co-authors include Hiroshi Suzuki, Yoshihide Yamanashi, Yu Toyoda, Hirotaka Matsuo, Yuichi Sugiyama, Kimiyoshi Ichida, Akiyoshi Nakayama, Nariyoshi Shinomiya, Hiroshi Suzuki and Hiroshi Miyata and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

Tappei Takada

105 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tappei Takada Japan 31 1.0k 929 860 763 356 113 2.8k
Promsuk Jutabha Japan 25 778 0.8× 571 0.6× 1.4k 1.6× 1.7k 2.2× 255 0.7× 66 3.6k
Dirk R. de Waart Netherlands 33 1.4k 1.3× 1.1k 1.2× 722 0.8× 852 1.1× 597 1.7× 92 3.5k
Koen van de Wetering Netherlands 32 1.4k 1.3× 317 0.3× 976 1.1× 239 0.3× 270 0.8× 54 3.1k
Xiong Z. Ruan United Kingdom 41 313 0.3× 1.2k 1.3× 2.2k 2.5× 729 1.0× 1.5k 4.3× 112 5.4k
Gur P. Kaushal United States 36 425 0.4× 259 0.3× 1.6k 1.9× 799 1.0× 694 1.9× 56 3.6k
John F. Moorhead United Kingdom 35 231 0.2× 1.1k 1.2× 1.2k 1.4× 598 0.8× 902 2.5× 71 3.9k
Adrián M. Ramos Spain 30 188 0.2× 326 0.4× 1.3k 1.5× 870 1.1× 211 0.6× 62 3.0k
Kenichi Furihata Japan 30 662 0.6× 688 0.7× 1.1k 1.3× 56 0.1× 425 1.2× 118 3.9k
Ellappan Babu United States 25 572 0.6× 160 0.2× 757 0.9× 394 0.5× 122 0.3× 36 2.0k
Birgitta C. Burckhardt Germany 24 666 0.6× 198 0.2× 1.0k 1.2× 467 0.6× 87 0.2× 52 2.2k

Countries citing papers authored by Tappei Takada

Since Specialization
Citations

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

Fields of papers citing papers by Tappei Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tappei Takada

This figure shows the co-authorship network connecting the top 25 collaborators of Tappei Takada. A scholar is included among the top collaborators of Tappei Takada 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 Tappei Takada. Tappei Takada 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
2.
Toyoda, Yu, et al.. (2025). Structural basis of urate transport by glucose transporter 9. Cell Reports. 44(4). 115514–115514. 2 indexed citations
3.
Yagi, Hiroki, Hiroshi Akazawa, Qing Liu, et al.. (2025). Inverse Agonist Activity of Angiotensin II Receptor Blocker Is Crucial for Prevention of Progressive Aortic Dilatation in Marfan Syndrome. Arteriosclerosis Thrombosis and Vascular Biology. 46(1). 132–144.
4.
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.
5.
Ohno, Yoshiyuki, et al.. (2023). Induction of CYP3A activity by dexamethasone may not be strong, even at high doses: insights from a case of tacrolimus co-administration. Journal of Pharmaceutical Health Care and Sciences. 9(1). 39–39. 1 indexed citations
6.
Nakayama, Akiyoshi, Masafumi Kurajoh, Yu Toyoda, et al.. (2023). Dysuricemia. Biomedicines. 11(12). 3169–3169. 10 indexed citations
7.
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
9.
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
10.
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
11.
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
12.
Taguchi, Ayumi, Yuichiro Miyamoto, Michihiro Tanikawa, et al.. (2021). History of whole pelvis plus para-aortic radiation is a risk factor associated with febrile neutropenia during chemotherapy for recurrent cervical cancer. International Journal of Clinical Oncology. 26(9). 1759–1766. 1 indexed citations
13.
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
14.
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
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.
Ikebuchi, Yuki, H. Shimizu, Kousei Ito, et al.. (2012). Ursodeoxycholic acid stimulates the formation of the bile canalicular network. Biochemical Pharmacology. 84(7). 925–935. 5 indexed citations
18.
Takada, Tappei, et al.. (2006). LXR Alpha Transactivates Mouse Organic Solute Transporter Alpha and Beta via IR-1 Elements Shared with FXR. Pharmaceutical Research. 24(2). 390–398. 32 indexed citations
19.
Takada, Tappei, H. Weiß, Olivier Kretz, Gerhard Groß, & Yuichi Sugiyama. (2004). HEPATIC TRANSPORT OF PKI166, AN EPIDERMAL GROWTH FACTOR RECEPTOR KINASE INHIBITOR OF THE PYRROLO-PYRIMIDINE CLASS, AND ITS MAIN METABOLITE, ACU154. Drug Metabolism and Disposition. 32(11). 1272–1278. 26 indexed citations
20.
Takada, Tappei, et al.. (2000). Characterization of 5′-Flanking Region of Human MRP3. Biochemical and Biophysical Research Communications. 270(3). 728–732. 32 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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