Satoshi Takeda

2.4k total citations
101 papers, 1.8k citations indexed

About

Satoshi Takeda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Insect Science. According to data from OpenAlex, Satoshi Takeda has authored 101 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 29 papers in Cellular and Molecular Neuroscience and 29 papers in Insect Science. Recurrent topics in Satoshi Takeda's work include Neurobiology and Insect Physiology Research (24 papers), Bone health and osteoporosis research (23 papers) and Insect Utilization and Effects (23 papers). Satoshi Takeda is often cited by papers focused on Neurobiology and Insect Physiology Research (24 papers), Bone health and osteoporosis research (23 papers) and Insect Utilization and Effects (23 papers). Satoshi Takeda collaborates with scholars based in Japan, Canada and United States. Satoshi Takeda's co-authors include Naranjan S. Dhalla, Yoshiaki Tanaka, Ayako Shiraishi, Seibu Mochizuki, Hitoshi Saitô, Koichi Endo, Katsuhiko Sato, Toshitaka Nakamura, Sadaoki Sakai and Yasushi Uchiyama and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physiology and Journal of Bone and Mineral Research.

In The Last Decade

Satoshi Takeda

93 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Takeda Japan 24 728 488 469 287 226 101 1.8k
Predrag Sikirić Croatia 34 575 0.8× 169 0.3× 84 0.2× 178 0.6× 807 3.6× 174 3.0k
Xiang‐Ding Chen China 20 677 0.9× 125 0.3× 139 0.3× 123 0.4× 72 0.3× 68 1.4k
Jasper Stevens Netherlands 19 323 0.4× 158 0.3× 80 0.2× 120 0.4× 235 1.0× 97 1.8k
David T. Crawford United States 18 742 1.0× 132 0.3× 403 0.9× 462 1.6× 80 0.4× 23 2.1k
Xue Ma China 29 988 1.4× 104 0.2× 109 0.2× 141 0.5× 137 0.6× 96 2.1k
Peter Heinz‐Erian Austria 25 716 1.0× 78 0.2× 83 0.2× 209 0.7× 487 2.2× 69 1.9k
Kaori Hayashi Japan 23 448 0.6× 74 0.2× 74 0.2× 79 0.3× 51 0.2× 148 1.4k
Seung‐Jae Hong South Korea 27 387 0.5× 91 0.2× 67 0.1× 119 0.4× 30 0.1× 96 1.8k
M. Di Stefano Italy 31 528 0.7× 248 0.5× 137 0.3× 245 0.9× 137 0.6× 129 3.0k
Maria Nilsson Sweden 26 704 1.0× 223 0.5× 68 0.1× 205 0.7× 60 0.3× 45 1.8k

Countries citing papers authored by Satoshi Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Takeda. A scholar is included among the top collaborators of Satoshi 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 Satoshi Takeda. Satoshi 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
1.
Nagata, Nobuhiko, Taishi Harada, Hiroyuki Miyazaki, et al.. (2019). Procalcitonin-Guided Antibiotic Discontinuation Might Shorten the Duration of Antibiotic Treatment Without Increasing Pneumonia Recurrence. The American Journal of the Medical Sciences. 358(1). 33–44. 14 indexed citations
2.
Sakai, Sadaoki, Hiromi Hongo, Tomomaya Yamamoto, et al.. (2018). Sequential Treatment with Eldecalcitol After PTH Improves Bone Mechanical Properties of Lumbar Spine and Femur in Aged Ovariectomized Rats. Calcified Tissue International. 104(3). 251–261. 5 indexed citations
3.
Miyazaki, Hiroyuki, Nobuhiko Nagata, Satoshi Takeda, et al.. (2018). Comprehensive analysis of prognostic factors in hospitalized patients with pneumonia occurring outside hospital: Serum albumin is not less important than pneumonia severity assessment scale. Journal of Infection and Chemotherapy. 24(8). 602–609. 23 indexed citations
4.
Takeda, Satoshi, Mitsuru Saito, Sadaoki Sakai, et al.. (2017). Eldecalcitol, an Active Vitamin D3 Derivative, Prevents Trabecular Bone Loss and Bone Fragility in Type I Diabetic Model Rats. Calcified Tissue International. 101(4). 433–444. 12 indexed citations
5.
Serizawa, Kenichi, et al.. (2015). Eldecalcitol prevents endothelial dysfunction in postmenopausal osteoporosis model rats. Journal of Endocrinology. 228(2). 75–84. 10 indexed citations
6.
Kashiwagi, Hirotaka, Yoshiyuki Ono, Masateru Ohta, et al.. (2013). A series of nonsecosteroidal vitamin D receptor agonists for osteoporosis therapy. Bioorganic & Medicinal Chemistry. 21(7). 1823–1833. 8 indexed citations
7.
Hirata, Michinori, Kenichi Serizawa, Kenji Yogo, et al.. (2012). 22-Oxacalcitriol prevents progression of endothelial dysfunction through antioxidative effects in rats with type 2 diabetes and early-stage nephropathy. Nephrology Dialysis Transplantation. 28(5). 1166–1174. 49 indexed citations
8.
Kumagai, Naoko, Shin‐ichiro Miura, Hideo Toyoshima, et al.. (2010). Acute myocardial infarction due to malignant neoplastic coronary embolus. Journal of Cardiology Cases. 2(3). e123–e127. 9 indexed citations
9.
Mizoguchi, Hirokazu, Chizuko Watanabe, Satoshi Takeda, et al.. (2010). Involvement of mouse μ-opioid receptor splice variants in the spinal antinociception induced by the dermorphin tetrapeptide analog amidino-TAPA. European Journal of Pharmacology. 651(1-3). 66–72. 6 indexed citations
10.
Komori, Sadayoshi, Satoshi Takeda, Kaori Tachibana, et al.. (1998). Exercise-induced Monomorphic Ventricular Tachycardia From the Left Ventricle Outflow Tract. Japanese Circulation Journal. 62(8). 629–631. 1 indexed citations
11.
Takeda, Satoshi, et al.. (1995). Difficulty in inducing extra larval ecdysis in the silkworm, Bombyx mori, by repeated administration of ecdysone.. Nihon sanshigaku zasshi. 64(2). 156–164. 1 indexed citations
12.
Tanaka, Yoshiaki, Kiyoshi Asaoka, & Satoshi Takeda. (1994). Different feeding and gustatory responses to ecdysone and 20-hydroxyecdysone by larvae of the silkworm,Bombyx mori. Journal of Chemical Ecology. 20(1). 125–133. 45 indexed citations
13.
Sakurada, Shinobu, Tsukasa Sakurada, Satoshi Takeda, et al.. (1993). Theophylline-induced nociceptive behavioral response in mice: Possible indirect interaction with spinal N-methyl-d-aspartate receptors. Neurochemistry International. 22(1). 69–74. 10 indexed citations
14.
15.
Yao, Xiang, Hajime Fugo, & Satoshi Takeda. (1991). Effect of validoxylamine A on the trehalase activity in the colleterial glands of the silkmoth, Bombyx mori. Nihon sanshigaku zasshi. 60(4). 296–301. 4 indexed citations
16.
Takeda, Satoshi, Yoshiaki Kono, & Yukihiko Kameda. (1990). Non-glutinous egg production by using a trehalase inhibitor, validoxylamine A, in Bombyx mori. Nihon sanshigaku zasshi. 59(5). 360–365. 4 indexed citations
17.
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19.
Takeda, Satoshi, et al.. (1982). Rearing of mulberry wild silkworm, Bombyx mandarina on artificial diet. Nihon sanshigaku zasshi. 51(3). 237–238.
20.
Takeda, Satoshi & Kinsaku Hasegawa. (1976). Further Studies on the Alteration of Egg Diapause in Bombyx mori by Ouabain-Diapause Egg Production in Non-diapause Egg Producers. Nihon sanshigaku zasshi. 45(4). 337–344. 2 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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