Kanta Taniguchi

443 total citations
8 papers, 372 citations indexed

About

Kanta Taniguchi is a scholar working on Molecular Biology, Nephrology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kanta Taniguchi has authored 8 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Nephrology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kanta Taniguchi's work include Chronic Kidney Disease and Diabetes (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). Kanta Taniguchi is often cited by papers focused on Chronic Kidney Disease and Diabetes (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). Kanta Taniguchi collaborates with scholars based in Japan and Canada. Kanta Taniguchi's co-authors include Naoko Tajima, Tamotsu Yokota, Kazunori Utsunomiya, Hideaki Kurata, Yasushi Kanazawa, Elodie Masson, Eric A. Shikatani, Anu Shah, Rohan John and Ling Xia and has published in prestigious journals such as Diabetes, European Journal of Pharmacology and Journal of Atherosclerosis and Thrombosis.

In The Last Decade

Kanta Taniguchi

8 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kanta Taniguchi Japan 7 172 107 62 46 45 8 372
Tae Niwa Japan 10 188 1.1× 131 1.2× 63 1.0× 67 1.5× 26 0.6× 16 471
John A. Dlugosz Canada 12 218 1.3× 144 1.3× 77 1.2× 77 1.7× 47 1.0× 12 494
Yunpeng Chang China 10 300 1.7× 187 1.7× 110 1.8× 39 0.8× 68 1.5× 14 647
D. R. South Korea 5 205 1.2× 100 0.9× 87 1.4× 39 0.8× 39 0.9× 8 390
Yuichiro Makita Japan 13 128 0.7× 166 1.6× 109 1.8× 89 1.9× 114 2.5× 22 505
Xiaoyan Hou China 10 269 1.6× 71 0.7× 30 0.5× 34 0.7× 35 0.8× 15 483
K Aida Japan 9 187 1.1× 134 1.3× 42 0.7× 111 2.4× 34 0.8× 18 427
Xing Mao China 11 171 1.0× 159 1.5× 51 0.8× 30 0.7× 27 0.6× 18 446
Kamie Snow United States 5 120 0.7× 120 1.1× 76 1.2× 54 1.2× 60 1.3× 6 361
Catherine K. Hathaway United States 5 139 0.8× 116 1.1× 55 0.9× 37 0.8× 59 1.3× 5 321

Countries citing papers authored by Kanta Taniguchi

Since Specialization
Citations

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

Fields of papers citing papers by Kanta Taniguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanta Taniguchi

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

All Works

8 of 8 papers shown
1.
Taniguchi, Kanta, Ling Xia, Howard Goldberg, et al.. (2013). Inhibition of Src Kinase Blocks High Glucose–Induced EGFR Transactivation and Collagen Synthesis in Mesangial Cells and Prevents Diabetic Nephropathy in Mice. Diabetes. 62(11). 3874–3886. 119 indexed citations
2.
Utsunomiya, Kazunori, Sho Ishizawa, Yasushi Kanazawa, et al.. (2009). Association of Polymorphism of Estrogen Receptor-.ALPHA. Gene with Circulating Levels of Adiponectin in Postmenopausal Women with Type 2 Diabetes. Journal of Atherosclerosis and Thrombosis. 16(3). 250–255. 15 indexed citations
3.
Utsunomiya, Kazunori, Sho Ishizawa, Yasushi Kanazawa, et al.. (2009). Association of Urinary Albumin Excretion with Insulin Resistance in Japanese Subjects: Impact of Gender Difference on Insulin Resistance. Internal Medicine. 48(18). 1621–1627. 8 indexed citations
4.
Xia, Ling, Kanta Taniguchi, Howard Goldberg, et al.. (2008). The Tyrosine Kinase Src is a Critical Mediator of High Glucose-induced EGF Receptor (EGFR)Transactivation, MAPK Phosphorylation and Collagen Acc umulation in Mesangial Cells. Canadian Journal of Diabetes. 32(4). 308–308. 1 indexed citations
5.
6.
Utsunomiya, Kazunori, Kanta Taniguchi, Tamotsu Yokota, et al.. (2007). The Rho-kinase inhibitor, fasudil, attenuates diabetic nephropathy in streptozotocin-induced diabetic rats. European Journal of Pharmacology. 568(1-3). 242–247. 131 indexed citations
7.
Saito, Takatoshi, Katsuyoshi Tojo, Yūichi Murakawa, et al.. (2004). A Case of Acquired Deficiency of Pituitary GH, PRL and TSH, Associated with Type 1 Diabetes Mellitus. Endocrine Journal. 51(3). 287–293. 6 indexed citations
8.
Kamiyama, Masumi, Kazunori Utsunomiya, Kanta Taniguchi, et al.. (2003). Contribution of Rho A and Rho Kinase to Platelet-Derived Growth Factor-BB-Induced Proliferation of Vascular Smooth Muscle Cells.. Journal of Atherosclerosis and Thrombosis. 10(2). 117–123. 52 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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