Shogo Takeda

842 total citations
36 papers, 580 citations indexed

About

Shogo Takeda is a scholar working on Molecular Biology, Dermatology and Pathology and Forensic Medicine. According to data from OpenAlex, Shogo Takeda has authored 36 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Dermatology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Shogo Takeda's work include Dermatology and Skin Diseases (6 papers), Advancements in Transdermal Drug Delivery (4 papers) and IL-33, ST2, and ILC Pathways (4 papers). Shogo Takeda is often cited by papers focused on Dermatology and Skin Diseases (6 papers), Advancements in Transdermal Drug Delivery (4 papers) and IL-33, ST2, and ILC Pathways (4 papers). Shogo Takeda collaborates with scholars based in Japan, United Kingdom and Cameroon. Shogo Takeda's co-authors include Hiroshi Shimoda, Shoketsu Hitoe, Kazuya Toda, Daisuke Kami, Satoshi Gojo, Yoko Itakura, Masatoshi Watanabe, Masashi Toyoda, Hirokazu Yamagami and Kazunari Tominaga and has published in prestigious journals such as Gastroenterology, PLoS ONE and Scientific Reports.

In The Last Decade

Shogo Takeda

34 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shogo Takeda Japan 12 280 90 84 68 55 36 580
Wensheng Zheng China 16 288 1.0× 66 0.7× 76 0.9× 40 0.6× 82 1.5× 35 752
Jing Zhu China 15 291 1.0× 88 1.0× 39 0.5× 59 0.9× 56 1.0× 66 711
Hyo In Kim South Korea 16 435 1.6× 135 1.5× 39 0.5× 52 0.8× 71 1.3× 48 814
Nasser Gholijani Iran 14 207 0.7× 153 1.7× 56 0.7× 31 0.5× 28 0.5× 42 674
Sabine Matou‐Nasri Saudi Arabia 16 281 1.0× 132 1.5× 33 0.4× 81 1.2× 30 0.5× 43 838
Yong Hou China 16 182 0.7× 118 1.3× 32 0.4× 123 1.8× 42 0.8× 45 664
Giulia Martinelli Italy 15 233 0.8× 179 2.0× 61 0.7× 86 1.3× 29 0.5× 41 828
Octavio D. Reyes‐Hernández Mexico 16 213 0.8× 55 0.6× 41 0.5× 49 0.7× 75 1.4× 49 799
Shih-Yi Chuang Taiwan 15 270 1.0× 195 2.2× 34 0.4× 54 0.8× 31 0.6× 18 711
Zhiguo Feng China 16 326 1.2× 96 1.1× 29 0.3× 43 0.6× 32 0.6× 31 808

Countries citing papers authored by Shogo Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Shogo Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shogo Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Shogo Takeda. A scholar is included among the top collaborators of Shogo Takeda 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 Shogo Takeda. Shogo Takeda 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
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Takeda, Shogo, et al.. (2020). Estrogenic and antiandrogenic activities of methoxyflavans isolated from the fruit ofMauritia Flexuosa(Moriche Palm). Journal of Food Biochemistry. 45(1). e13583–e13583. 2 indexed citations
4.
Shimoda, Hiroshi, Tsuyoshi Takara, Kazuo Yamamoto, et al.. (2020). Moriche Palm (Aguaje) Extract improves indefinite complaints in Japanese females: a randomized, placebo-controlled, double-blind trial. Functional Foods in Health and Disease. 10(9). 1 indexed citations
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Yoshino, Yuta, Shogo Takeda, Kazuya Toda, et al.. (2017). Fermented Rice Germ Extract Alleviates Morphological and Functional Damage to Murine Gastrocnemius Muscle by Inactivation of AMP-Activated Protein Kinase. Journal of Medicinal Food. 20(10). 969–980. 6 indexed citations
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Toda, Kazuya, et al.. (2017). Passionflower Extract Induces High-amplitude Rhythms without Phase Shifts in the Expression of Several Circadian Clock Genes in Vitro and in Vivo. International Journal of Biomedical Science. 13(2). 84–92. 16 indexed citations
9.
Toda, Kazuya, Shoketsu Hitoe, Shogo Takeda, & Hiroshi Shimoda. (2016). Black ginger extract increases physical fitness performance and muscular endurance by improving inflammation and energy metabolism. Heliyon. 2(5). e00115–e00115. 48 indexed citations
10.
Tanigawa, Tetsuya, Toshio Watanabe, Sunao Shimada, et al.. (2016). Su1188 Isoliquiritigenin, a Flavonoid Component of Licorice, Prevents Non-Steroidal Anti-Inflammatory Drug-Induced Small Intestinal Injury Through Inhibition of NLRP3 Inflammasome Activation. Gastroenterology. 150(4). S490–S490. 1 indexed citations
11.
Watanabe, Toshio, Yuji Nadatani, Naoki Sugimura, et al.. (2016). NLRP3 inflammasome has a protective effect against oxazolone-induced colitis: a possible role in ulcerative colitis. Scientific Reports. 6(1). 39075–39075. 79 indexed citations
12.
Otani, Koji, Toshio Watanabe, Sunao Shimada, et al.. (2016). Colchicine prevents NSAID-induced small intestinal injury by inhibiting activation of the NLRP3 inflammasome. Scientific Reports. 6(1). 32587–32587. 50 indexed citations
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Toda, Kazuya, Shogo Takeda, Shoketsu Hitoe, et al.. (2015). Enhancement of energy production by black ginger extract containing polymethoxy flavonoids in myocytes through improving glucose, lactic acid and lipid metabolism. Journal of Natural Medicines. 70(2). 163–172. 36 indexed citations
14.
Higashimori, Akihiro, Toshio Watanabe, Yuji Nadatani, et al.. (2015). Mechanisms of NLRP3 inflammasome activation and its role in NSAID-induced enteropathy. Mucosal Immunology. 9(3). 659–668. 49 indexed citations
15.
Watanabe, Toshio, Tetsuya Tanigawa, Shogo Takeda, et al.. (2014). Toll-Like Receptor 2 Mediates Ischemia-Reperfusion Injury of the Small Intestine in Adult Mice. PLoS ONE. 9(10). e110441–e110441. 10 indexed citations
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Nadatani, Yuji, Toshio Watanabe, Tetsuya Tanigawa, et al.. (2013). High-Mobility Group Box 1 Inhibits Gastric Ulcer Healing through Toll-Like Receptor 4 and Receptor for Advanced Glycation End Products. PLoS ONE. 8(11). e80130–e80130. 42 indexed citations
17.
Kami, Daisuke, Shogo Takeda, Hatsune Makino, et al.. (2011). Efficient transfection method using deacylated polyethylenimine-coated magnetic nanoparticles. Journal of Artificial Organs. 14(3). 215–222. 12 indexed citations
18.
Saito, Hirohisa, Hiroyuki Okabe, Kōichi Nakano, et al.. (1995). [Augmentation of chemotherapeutic efficaciousness of UFT by oral l-leucovorin--growth-inhibitory activity of combination against human tumor xenograft].. PubMed. 22(13). 1919–25. 1 indexed citations
19.
Matsuzaki, Yutaka, Takashi Matsuzaki, Shogo Takeda, et al.. (1991). Studies on the Metabolic Fate of Gomisin A (TJN-101). I. Absorption in Rats. YAKUGAKU ZASSHI. 111(9). 524–530. 2 indexed citations
20.
Yamada, Yuji, Hitoshi Saitô, Shigeharu Oie, et al.. (1990). [Experimental study of the effect of combined treatment of UFT with CDDP on human solid tumor-xenografts in nude mice].. PubMed. 17(7). 1327–31. 8 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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