Shingo Urate

425 total citations
19 papers, 262 citations indexed

About

Shingo Urate is a scholar working on Nephrology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shingo Urate has authored 19 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nephrology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shingo Urate's work include Nephrotoxicity and Medicinal Plants (4 papers), Diabetes Treatment and Management (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). Shingo Urate is often cited by papers focused on Nephrotoxicity and Medicinal Plants (4 papers), Diabetes Treatment and Management (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). Shingo Urate collaborates with scholars based in Japan, Singapore and United States. Shingo Urate's co-authors include Hiromichi Wakui, Kouichi Tamura, Kengo Azushima, Takahiro Yamaji, Toru Suzuki, Eriko Abe, Takayuki Yamada, Shunichiro Tsukamoto, Sho Kinguchi and Yusuke Saigusa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Shingo Urate

18 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shingo Urate Japan 8 119 68 53 46 41 19 262
Shunichiro Tsukamoto Japan 8 62 0.5× 66 1.0× 44 0.8× 33 0.7× 41 1.0× 22 231
Elena Izkhakov Israel 11 175 1.5× 63 0.9× 49 0.9× 52 1.1× 63 1.5× 32 378
Scott T. Baker Australia 7 148 1.2× 162 2.4× 40 0.8× 45 1.0× 29 0.7× 7 338
Richard Chudleigh United Kingdom 10 139 1.2× 91 1.3× 67 1.3× 33 0.7× 35 0.9× 18 257
Jas‐mine Seah Australia 8 110 0.9× 155 2.3× 28 0.5× 42 0.9× 39 1.0× 11 345
Naznin Dixit United States 11 112 0.9× 67 1.0× 151 2.8× 24 0.5× 30 0.7× 17 339
Sedat Üstündağ Türkiye 9 31 0.3× 77 1.1× 39 0.7× 47 1.0× 43 1.0× 32 251
Hans-Ulrich Haering Germany 8 94 0.8× 21 0.3× 56 1.1× 75 1.6× 84 2.0× 19 247
Andrzej Oko Poland 10 34 0.3× 106 1.6× 68 1.3× 55 1.2× 64 1.6× 46 320
G. M. Magee United Kingdom 3 172 1.4× 201 3.0× 42 0.8× 59 1.3× 62 1.5× 4 350

Countries citing papers authored by Shingo Urate

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Urate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shingo Urate

This figure shows the co-authorship network connecting the top 25 collaborators of Shingo Urate. A scholar is included among the top collaborators of Shingo Urate 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 Shingo Urate. Shingo Urate is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Azushima, Kengo, et al.. (2025). Leucine-rich alpha-2-glycoprotein 1 deficiency suppresses ischemia–reperfusion injury-induced renal fibrosis. Scientific Reports. 15(1). 1259–1259. 1 indexed citations
2.
Furuta, Rika A., Shingo Urate, Hiromichi Wakui, et al.. (2025). Enhancement of angiotensin II type 1 receptor-associated protein suppresses kidney inflammation in a mouse model of aristolochic acid nephropathy. Scientific Reports. 15(1). 27975–27975. 1 indexed citations
3.
Tsukamoto, Shunichiro, Hiromichi Wakui, Kengo Azushima, et al.. (2023). Combination of sacubitril/valsartan and blockade of the PI3K pathway enhanced kidney protection in a mouse model of cardiorenal syndrome. European Heart Journal Open. 3(6). oead098–oead098. 2 indexed citations
4.
Tanaka, Shohei, Hiromichi Wakui, Kengo Azushima, et al.. (2023). Effects of a High-Protein Diet on Kidney Injury under Conditions of Non-CKD or CKD in Mice. International Journal of Molecular Sciences. 24(9). 7778–7778. 9 indexed citations
5.
Azushima, Kengo, Shingo Urate, Sho Kinguchi, et al.. (2023). PS-R01-7: A CASE REPORT OF ACCELERATED-MALIGNANT HYPERTENSION SUCCESSFULLY TREATED WITH SACUBITRIL/VALSARTAN. Journal of Hypertension. 41(Suppl 1). e258–e258.
6.
Abe, Eriko, Akio Yamashita, Takahiro Yamaji, et al.. (2022). Angiotensin II type-1 receptor-associated protein interacts with transferrin receptor-1 and promotes its internalization. Scientific Reports. 12(1). 17376–17376. 4 indexed citations
7.
Wakui, Hiromichi, Kengo Azushima, Sho Kinguchi, et al.. (2022). SARS-CoV-2 spike protein antibody titers 6 months after SARS-CoV-2 mRNA vaccination among patients undergoing hemodialysis in Japan. Clinical and Experimental Nephrology. 26(10). 988–996. 7 indexed citations
9.
Tsukamoto, Shunichiro, Shingo Urate, Takayuki Yamada, et al.. (2022). Comparative Efficacy of Pharmacological Treatments for Adults With Autosomal Dominant Polycystic Kidney Disease: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials. Frontiers in Pharmacology. 13. 885457–885457. 5 indexed citations
10.
Urate, Shingo, Hiromichi Wakui, Kengo Azushima, et al.. (2021). Aristolochic Acid Induces Renal Fibrosis and Senescence in Mice. International Journal of Molecular Sciences. 22(22). 12432–12432. 22 indexed citations
11.
Ishii, Takeo, Hiromichi Wakui, Shingo Urate, et al.. (2021). Tissue xanthine oxidoreductase activity in a mouse model of aristolochic acid nephropathy. FEBS Open Bio. 11(2). 507–518. 5 indexed citations
12.
Tsukamoto, Shunichiro, Hiromichi Wakui, Kengo Azushima, et al.. (2021). Tissue-specific expression of the SARS-CoV-2 receptor, angiotensin-converting enzyme 2, in mouse models of chronic kidney disease. Scientific Reports. 11(1). 16843–16843. 7 indexed citations
13.
Azushima, Kengo, Takahiro Yamaji, Shingo Urate, et al.. (2021). Effects of tumor necrosis factor-α inhibition on kidney fibrosis and inflammation in a mouse model of aristolochic acid nephropathy. Scientific Reports. 11(1). 23587–23587. 49 indexed citations
14.
15.
Ohki, Kohji, Hiromichi Wakui, Kazushi Uneda, et al.. (2020). Effects of Erythropoietin-Stimulating Agents on Blood Pressure in Patients with Non-Dialysis CKD and Renal Anemia. SHILAP Revista de lepidopterología. 6(4). 299–308. 4 indexed citations
16.
Yamada, Takayuki, Hiroki Ueyama, Nitin Chopra, et al.. (2020). Systematic Review of the Association Between Worsening Renal Function and Mortality in Patients With Acute Decompensated Heart Failure. Kidney International Reports. 5(9). 1486–1494. 14 indexed citations
18.
Wakui, Hiromichi, Takahiro Yamaji, Kengo Azushima, et al.. (2020). Effects of Rikkunshito treatment on renal fibrosis/inflammation and body weight reduction in a unilateral ureteral obstruction model in mice. Scientific Reports. 10(1). 1782–1782. 6 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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