S. Taniguchi

1.9k total citations
31 papers, 1.6k citations indexed

About

S. Taniguchi is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, S. Taniguchi has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Genetics. Recurrent topics in S. Taniguchi's work include Ion Transport and Channel Regulation (6 papers), Reproductive Biology and Fertility (3 papers) and Ion channel regulation and function (3 papers). S. Taniguchi is often cited by papers focused on Ion Transport and Channel Regulation (6 papers), Reproductive Biology and Fertility (3 papers) and Ion channel regulation and function (3 papers). S. Taniguchi collaborates with scholars based in Japan and United States. S. Taniguchi's co-authors include Michinari Hamaguchi, Akira Nagafuchi, Shöichiro Tsukita, Norihisa Matsuyoshi, Masatoshi Takeichi, Naoki Oshimori, Tomoyuki Kawamoto, Ajit Elhance, Justin J. Leitenberger and Sushil Kumar and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

S. Taniguchi

30 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Taniguchi Japan 18 901 408 232 206 169 31 1.6k
Yigong Fu United States 16 777 0.9× 375 0.9× 239 1.0× 224 1.1× 141 0.8× 23 1.4k
Bàrbara Laviña Sweden 15 852 0.9× 282 0.7× 193 0.8× 183 0.9× 189 1.1× 23 2.1k
Michael Leserer Germany 4 1.2k 1.3× 576 1.4× 157 0.7× 176 0.9× 280 1.7× 4 1.9k
Hiroki Sawa Japan 21 821 0.9× 292 0.7× 181 0.8× 101 0.5× 172 1.0× 57 1.5k
Patrick Auguste France 22 994 1.1× 539 1.3× 293 1.3× 368 1.8× 137 0.8× 37 1.8k
Axel Ullrich Germany 4 960 1.1× 305 0.7× 131 0.6× 119 0.6× 205 1.2× 5 1.4k
Brad A. Bryan United States 27 1.2k 1.3× 487 1.2× 315 1.4× 123 0.6× 227 1.3× 63 2.1k
Gabriela D’Amico United Kingdom 21 1.2k 1.4× 473 1.2× 256 1.1× 202 1.0× 124 0.7× 31 2.0k
Volker Senner Germany 23 690 0.8× 293 0.7× 153 0.7× 144 0.7× 212 1.3× 45 1.6k
Katerina Tritsaris Denmark 20 875 1.0× 581 1.4× 124 0.5× 164 0.8× 302 1.8× 32 1.7k

Countries citing papers authored by S. Taniguchi

Since Specialization
Citations

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

Fields of papers citing papers by S. Taniguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Taniguchi

This figure shows the co-authorship network connecting the top 25 collaborators of S. Taniguchi. A scholar is included among the top collaborators of S. 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 S. Taniguchi. S. Taniguchi 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.
2.
Taniguchi, S., et al.. (2021). A mechanistic basis for the malignant progression of salivary gland tumors. iScience. 24(12). 103508–103508. 3 indexed citations
3.
Oshimori, Naoki, et al.. (2021). An emerging role for cellular crosstalk in the cancer stem cell niche. The Journal of Pathology. 254(4). 384–394. 39 indexed citations
4.
Taniguchi, S., et al.. (2020). Tumor-initiating cells establish an IL-33–TGF-β niche signaling loop to promote cancer progression. Science. 369(6501). 165 indexed citations
5.
Taniguchi, S., et al.. (2019). ADAP1 promotes invasive squamous cell carcinoma progression and predicts patient survival. Life Science Alliance. 2(6). e201900582–e201900582. 7 indexed citations
6.
Taniguchi, S., Takanobu Nakazawa, Asami Tanimura, et al.. (2009). Involvement of NMDAR2A tyrosine phosphorylation in depression‐related behaviour. The EMBO Journal. 28(23). 3717–3729. 79 indexed citations
7.
Kishigami, Satoshi, Yu Abe, Shuntaro Ikeda, et al.. (2006). 48 EFFECTS OF TRICHOSTATIN A ON DEVELOPMENT OF BOVINE SOMATIC CELL NUCLEAR TRANSFER EMBRYOS. Reproduction Fertility and Development. 19(1). 142–142. 4 indexed citations
8.
Taniguchi, S., Yoshihisa Matsumoto, Takayo Ohto, et al.. (2004). Potentiality of DNA-dependent protein kinase to phosphorylate Ser46 of human p53. Biochemical and Biophysical Research Communications. 323(3). 816–822. 22 indexed citations
9.
Taniguchi, S., Hui Liu, Takanobu Nakazawa, et al.. (2003). p250GAP, a neural RhoGAP protein, is associated with and phosphorylated by Fyn. Biochemical and Biophysical Research Communications. 306(1). 151–155. 36 indexed citations
10.
Kawata, Tetsuji, et al.. (2001). Functional and perfusional assessment with electrocardiograph-gated single photon emission computed tomography after minimally invasive direct coronary artery bypass grafting.. PubMed. 7(2). 99–102.
11.
Usui, Tomohiro, George Seki, Shiro Amano, et al.. (1999). Functional and molecular evidence for Na+-HCO3 – cotransporter in human corneal endothelial cells. Pflügers Archiv - European Journal of Physiology. 438(4). 458–462. 40 indexed citations
12.
Yamada, Hisao, George Seki, S. Taniguchi, et al.. (1996). Roles of Ca2+ and PKC in regulation of acid/base transport in isolated proximal tubules. American Journal of Physiology-Renal Physiology. 271(5). F1068–F1076. 20 indexed citations
13.
Yamada, Hisao, George Seki, S. Taniguchi, et al.. (1996). Mechanism of [Ca2+]i increase by extracellular ATP in isolated rabbit renal proximal tubules. American Journal of Physiology-Cell Physiology. 270(4). C1096–C1104. 29 indexed citations
14.
Nakanishi, Toru, et al.. (1994). Expression of Nerve Growth Factor Family Neurotrophins in a Mouse Osteoblastic Cell Line. Biochemical and Biophysical Research Communications. 198(3). 891–897. 60 indexed citations
15.
Taniguchi, S., Tsuyoshi Watanabe, A. Nakao, et al.. (1994). Detection and quantitation of EP3 prostaglandin E2 receptor mRNA along mouse nephron segments by RT-PCR. American Journal of Physiology-Cell Physiology. 266(5). C1453–C1458. 25 indexed citations
16.
Seki, George, et al.. (1993). Evidence for conductive Cl- pathway in the basolateral membrane of rabbit renal proximal tubule S3 segment.. Journal of Clinical Investigation. 92(3). 1229–1235. 14 indexed citations
17.
Taniguchi, S., et al.. (1993). Distribution of 1,25-Dihydroxyvitamin-D3 Receptor and 25-Hydroxyvitamin-D3-24-Hydroxylase mRNA Expression along Rat Nephron Segments. Biochemical and Biophysical Research Communications. 194(2). 659–664. 26 indexed citations
18.
Okamoto, Koji, Maki Wakamiya, Eiki Koyama, et al.. (1993). A novel class of murine POU gene predominantly expressed in central nervous system.. Journal of Biological Chemistry. 268(10). 7449–7457. 37 indexed citations
20.
Sakai, K., Tomoyuki Kawamoto, S. Taniguchi, et al.. (1986). Expression of Epidermal Growth Factor Receptors on Normal Human Gastric Epithelia and Gastric Carcinomas. JNCI Journal of the National Cancer Institute. 77(5). 1047–52. 134 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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