Takuma Iguchi

713 total citations
22 papers, 292 citations indexed

About

Takuma Iguchi is a scholar working on Molecular Biology, Cancer Research and Nutrition and Dietetics. According to data from OpenAlex, Takuma Iguchi has authored 22 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Nutrition and Dietetics. Recurrent topics in Takuma Iguchi's work include MicroRNA in disease regulation (5 papers), Vitamin D Research Studies (3 papers) and RNA Interference and Gene Delivery (3 papers). Takuma Iguchi is often cited by papers focused on MicroRNA in disease regulation (5 papers), Vitamin D Research Studies (3 papers) and RNA Interference and Gene Delivery (3 papers). Takuma Iguchi collaborates with scholars based in Japan, Germany and United States. Takuma Iguchi's co-authors include Kazuhiko Mori, Ximei Wu, Ken Sakurai, Haibin Zhu, Chao Tang, Hongfeng Ruan, Kéiichi Tanaka, Tsuyoshi Nakanishi, Norio Itoh and Satoshi Tamai and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Endocrinology.

In The Last Decade

Takuma Iguchi

21 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takuma Iguchi Japan 12 147 59 51 49 34 22 292
Haiyang Chen China 11 192 1.3× 130 2.2× 48 0.9× 118 2.4× 18 0.5× 44 400
Seo‐Yun Tong South Korea 7 190 1.3× 34 0.6× 25 0.5× 45 0.9× 11 0.3× 7 275
Peyda Korhan Türkiye 9 179 1.2× 108 1.8× 34 0.7× 46 0.9× 13 0.4× 15 364
Rachel Howarth United Kingdom 9 163 1.1× 56 0.9× 78 1.5× 34 0.7× 13 0.4× 14 423
Raksha R. Bhat United States 11 125 0.9× 42 0.7× 14 0.3× 77 1.6× 13 0.4× 19 296
A Scuto Italy 5 173 1.2× 22 0.4× 57 1.1× 84 1.7× 6 0.2× 6 301
Hiroyuki Shigeta Japan 7 148 1.0× 17 0.3× 33 0.6× 41 0.8× 29 0.9× 31 357
Liyuan Liu China 9 88 0.6× 29 0.5× 49 1.0× 31 0.6× 4 0.1× 21 244
Rasa Sabaliauskaitė Lithuania 11 123 0.8× 67 1.1× 7 0.1× 39 0.8× 9 0.3× 39 257

Countries citing papers authored by Takuma Iguchi

Since Specialization
Citations

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

Fields of papers citing papers by Takuma Iguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuma Iguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Takuma Iguchi. A scholar is included among the top collaborators of Takuma Iguchi 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 Takuma Iguchi. Takuma Iguchi 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.
Chiba, Katsuyoshi, Tomomichi Ishizaka, Takuma Iguchi, et al.. (2020). Comprehensive analysis of cardiac function, blood biomarkers and histopathology for milrinone-induced cardiotoxicity in cynomolgus monkeys. Journal of Pharmacological and Toxicological Methods. 103. 106870–106870. 2 indexed citations
3.
Iguchi, Takuma, Kōichi Goto, Kyoko Watanabe, et al.. (2020). Fluoroquinolones suppress gluconeogenesis by inhibiting fructose 1,6-bisphosphatase in primary monkey hepatocytes. Toxicology in Vitro. 65. 104786–104786. 1 indexed citations
4.
Kinoshita, Junzo, et al.. (2020). Outer retinal involvement in <i>N</i>-methyl-<i>D</i>-aspartate-induced inner retinal injury in rabbits assessed by optical coherence tomography. The Journal of Toxicological Sciences. 45(5). 261–269. 3 indexed citations
5.
Kumagai, Kazuyoshi, et al.. (2018). DS-7250, a Diacylglycerol Acyltransferase 1 Inhibitor, Enhances Hepatic Steatosis in Zucker Fatty Rats via Upregulation of Fatty Acid Synthesis. Toxicologic Pathology. 46(3). 302–311. 1 indexed citations
6.
Iguchi, Takuma, et al.. (2018). Establishment of an in vitro cytotoxicity assay platform using primary monkey cardiomyocytes. Toxicology in Vitro. 54. 130–136.
7.
Nakamura, Kōichi, Tatsuya Kawaguchi, Takuma Iguchi, et al.. (2018). UNC569-induced Morphological Changes in Pigment Epithelia and Photoreceptor Cells in the Retina through MerTK Inhibition in Mice. Toxicologic Pathology. 46(2). 193–201. 12 indexed citations
8.
Iguchi, Takuma, et al.. (2018). Absolute Quantification of Plasma MicroRNA Levels in Cynomolgus Monkeys, Using Quantitative Real-time Reverse Transcription PCR. Journal of Visualized Experiments. 9 indexed citations
9.
Saitoh, Wataru, et al.. (2018). Plasma citrulline is a sensitive safety biomarker for small intestinal injury in rats. Toxicology Letters. 295. 416–423. 13 indexed citations
10.
Iguchi, Takuma, et al.. (2017). Gene expression analysis of Arc mRNA as a neuronal cell activity marker in the hippocampus and amygdala in two-way active avoidance test in rats. Journal of Pharmacological and Toxicological Methods. 88(Pt 2). 140–146. 2 indexed citations
11.
Tamai, Satoshi, et al.. (2017). A monkey model of acetaminophen-induced hepatotoxicity; phenotypic similarity to human. The Journal of Toxicological Sciences. 42(1). 73–84. 8 indexed citations
12.
Iguchi, Takuma, Ken Sakurai, Satoshi Tamai, & Kazuhiko Mori. (2017). Circulating liver-specific microRNAs in cynomolgus monkeys. Journal of Toxicologic Pathology. 31(1). 3–13. 6 indexed citations
13.
Ogitani, Yusuke, Yuki Abe, Takuma Iguchi, et al.. (2016). Wide application of a novel topoisomerase I inhibitor-based drug conjugation technology. Bioorganic & Medicinal Chemistry Letters. 26(20). 5069–5072. 35 indexed citations
14.
Sakurai, Ken, et al.. (2016). MicroRNA profiles in a monkey testicular injury model induced by testicular hyperthermia. Journal of Applied Toxicology. 36(12). 1614–1621. 18 indexed citations
15.
Tang, Chao, Haibin Zhu, Hongfeng Ruan, et al.. (2015). Hedgehog signaling through GLI1 and GLI2 is required for epithelial–mesenchymal transition in human trophoblasts. Biochimica et Biophysica Acta (BBA) - General Subjects. 1850(7). 1438–1448. 40 indexed citations
16.
Sakurai, Ken, et al.. (2015). MicroRNA profling in ethylene glycol monomethyl ether-induced monkey testicular toxicity model. The Journal of Toxicological Sciences. 40(3). 375–382. 16 indexed citations
17.
Tang, Chao, Yibin Pan, Huan Luo, et al.. (2015). Hedgehog signaling stimulates the conversion of cholesterol to steroids. Cellular Signalling. 27(3). 487–497. 29 indexed citations
18.
Tamai, Satoshi, et al.. (2015). Impact of different blood sampling techniques on plasma biomarkers for skeletal myopathy in conscious rats. Fundamental Toxicological Sciences. 2(1). 25–36. 2 indexed citations
19.
Wu, Ximei, Takuma Iguchi, Norio Itoh, et al.. (2007). Ascorbic Acid Transported by Sodium-Dependent Vitamin C Transporter 2 Stimulates Steroidogenesis in Human Choriocarcinoma Cells. Endocrinology. 149(1). 73–83. 33 indexed citations
20.

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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