Tetsuya Yamamoto

6.3k total citations
188 papers, 4.2k citations indexed

About

Tetsuya Yamamoto is a scholar working on Nephrology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Tetsuya Yamamoto has authored 188 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Nephrology, 57 papers in Molecular Biology and 44 papers in Pathology and Forensic Medicine. Recurrent topics in Tetsuya Yamamoto's work include Gout, Hyperuricemia, Uric Acid (87 papers), Alcohol Consumption and Health Effects (31 papers) and Biochemical and Molecular Research (20 papers). Tetsuya Yamamoto is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (87 papers), Alcohol Consumption and Health Effects (31 papers) and Biochemical and Molecular Research (20 papers). Tetsuya Yamamoto collaborates with scholars based in Japan, China and United States. Tetsuya Yamamoto's co-authors include Yuji Moriwaki, Sumio Takahashi, Kazuya Higashino, Zenta Tsutsumi, Toshikazu Hada, Ichiro Hisatome, Hidenori Koyama, Tokio Osaki, Jidong Cheng and Yasuhiro Moriwaki and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer.

In The Last Decade

Tetsuya Yamamoto

183 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuya Yamamoto Japan 34 1.8k 1.3k 953 813 653 188 4.2k
Wei Mu China 40 3.0k 1.6× 1.6k 1.3× 1.2k 1.2× 1.1k 1.3× 873 1.3× 78 6.1k
Hirotaka Matsuo Japan 39 2.5k 1.4× 2.7k 2.2× 1.1k 1.2× 503 0.6× 904 1.4× 147 6.4k
Andreas Pasch Switzerland 38 2.2k 1.2× 847 0.7× 497 0.5× 221 0.3× 508 0.8× 134 4.5k
Hunjoo Ha South Korea 49 2.0k 1.1× 2.8k 2.2× 519 0.5× 801 1.0× 1.2k 1.8× 167 7.8k
Kenichi Shikata Japan 41 1.6k 0.9× 1.8k 1.4× 303 0.3× 898 1.1× 725 1.1× 177 6.1k
Theodoros Eleftheriadis Greece 33 1.2k 0.7× 860 0.7× 305 0.3× 497 0.6× 554 0.8× 196 3.8k
Yuji Moriwaki Japan 27 816 0.5× 758 0.6× 402 0.4× 403 0.5× 291 0.4× 112 2.3k
Muhammad M. Yaqoob United Kingdom 36 1.6k 0.9× 1.2k 0.9× 476 0.5× 391 0.5× 561 0.9× 132 4.6k
Alexander So Switzerland 43 3.2k 1.8× 2.9k 2.3× 665 0.7× 828 1.0× 1.6k 2.5× 130 7.5k
Shougang Zhuang United States 53 2.4k 1.3× 4.8k 3.8× 857 0.9× 831 1.0× 960 1.5× 213 9.0k

Countries citing papers authored by Tetsuya Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Yamamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Yamamoto. A scholar is included among the top collaborators of Tetsuya Yamamoto 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 Tetsuya Yamamoto. Tetsuya Yamamoto 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.
Xie, De, Jiayu Chen, Mingyan Zhang, et al.. (2025). Uric Acid Stimulates PINK1/Parkin-Mediated Mitophagy via Nrf2/HO-1 Pathway to Protect Against Neuronal Apoptosis in Alzheimer’s Disease. Antioxidants and Redox Signaling. 43(7-9). 381–399. 3 indexed citations
2.
Xie, De, Qiuyang Zheng, Jiaming Lv, et al.. (2025). Uric Acid Functions as an Endogenous Modulator of Microglial Function and Amyloid Clearance in Alzheimer's Disease. Advanced Science. 12(48). e10270–e10270.
3.
Yamamoto, Tetsuya, Masato Kasahara, Kenji Ueshima, et al.. (2024). Multicenter randomized controlled trial of intensive uric acid lowering therapy for CKD patients with hyperuricemia: TARGET-UA. Clinical and Experimental Nephrology. 28(8). 764–772. 3 indexed citations
4.
Zhao, Hairong, Jiaming Lu, Furong He, et al.. (2022). Hyperuricemia contributes to glucose intolerance of hepatic inflammatory macrophages and impairs the insulin signaling pathway via IRS2-proteasome degradation. Frontiers in Immunology. 13. 931087–931087. 14 indexed citations
5.
Wang, Qiang, Hairong Zhao, Jiaming Lu, et al.. (2021). Uric acid inhibits HMGB1-TLR4-NF-κB signaling to alleviate oxygen-glucose deprivation/reoxygenation injury of microglia. Biochemical and Biophysical Research Communications. 540. 22–28. 24 indexed citations
6.
Yu, Wei, Wei Wang, Weidong Liu, et al.. (2021). Silencing TXNIP ameliorates high uric acid-induced insulin resistance via the IRS2/AKT and Nrf2/HO-1 pathways in macrophages. Free Radical Biology and Medicine. 178. 42–53. 31 indexed citations
7.
Ikenaga, Takeshi, Hiroki Noguchi, Keiji Kakumoto, et al.. (2019). Effect of phytic acid on postprandial serum uric acid level in healthy volunteers: a randomized, double-blind, crossover study. Nucleosides Nucleotides & Nucleic Acids. 39(4). 504–517. 11 indexed citations
8.
Yamamoto, Tetsuya, et al.. (2018). A case report of myocarditis combined with hepatitis caused by herpes simplex virus. BMC Cardiovascular Disorders. 18(1). 134–134. 14 indexed citations
9.
Ishikawa, Eiichi & Tetsuya Yamamoto. (2016). [Intraoperative BCNU Wafer Implantation for High-Grade Glioma--A Questionnaire Targeting Japanese Neurosurgeons].. PubMed. 43(5). 603–7. 1 indexed citations
10.
Kitamura, Naoya, et al.. (2013). A case of paraneoplastic pemphigus without an underlying neoplasm initially associated with oral symptoms. Japanese Journal of Oral & Maxillofacial Surgery. 59(4). 254–258. 2 indexed citations
11.
Inokuchi, Taku, et al.. (2010). Increased Frequency of Metabolic Syndrome and Its Individual Metabolic Abnormalities in Japanese Patients With Primary Gout. JCR Journal of Clinical Rheumatology. 16(3). 109–112. 18 indexed citations
13.
Yamanaka, Hisashi, Naoyuki Kamatani, Tatsuo Hosoya, et al.. (2001). Retrospective analysis of liver toxicity due to anti-hvperuricemic drugs in Japan. 25(1). 21–27. 1 indexed citations
14.
Hamada, Toshihiro, Kazuhiko Sonoyama, Yasutaka Yamamoto, et al.. (2000). Mechanism of angiotensin II receptor antagonist losartan on uric acid metabolism. 24(1). 31–37. 2 indexed citations
15.
Yamamoto, Tetsuya, et al.. (2000). The Mechanism of Mononuclear Cell Infiltration in Oral Lichen Planus: The Role of Cytokines Released from Keratinocytes. Journal of Clinical Immunology. 20(4). 294–305. 18 indexed citations
16.
Takahashi, Satoru, Tetsuya Yamamoto, Yasuhiro Moriwaki, Z. Tsutsumi, & Kazuya Higashino. (1995). Increased concentrations of serum Lp(a) lipoprotein in patients with primary gout.. Annals of the Rheumatic Diseases. 54(2). 90–93. 22 indexed citations
17.
Moriwaki, Yuji, Tetsuya Yamamoto, Sumio Takahashi, et al.. (1993). In vitro oxidation of pyrazinamide and allopurinol by rat liver aldehyde oxidase. Biochemical Pharmacology. 46(6). 975–981. 31 indexed citations
18.
Yamamoto, Tetsuya, et al.. (1992). Antitumor Effects of Liposome-Entrapped Carboplatin after Intraperitoneal Administration in Rats. 37(2). 71–79.
19.
Fujioka, Hiroshi, et al.. (1988). Tumor markers in pleural effusion diagnosis. Cancer. 61(2). 298–302. 59 indexed citations
20.
Hada, Toshikazu, Tetsuya Yamamoto, Hiroyasu Imanishi, et al.. (1987). Novel Cholinesterase Expression in the HuH-7 Cell Line. Tumor Biology. 8(1). 3–8. 9 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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