Kengo Sato

3.4k total citations
82 papers, 2.8k citations indexed

About

Kengo Sato is a scholar working on Surgery, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Kengo Sato has authored 82 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 21 papers in Cellular and Molecular Neuroscience and 20 papers in Molecular Biology. Recurrent topics in Kengo Sato's work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (18 papers), Neuroscience and Neuropharmacology Research (14 papers) and Apelin-related biomedical research (14 papers). Kengo Sato is often cited by papers focused on Cardiovascular, Neuropeptides, and Oxidative Stress Research (18 papers), Neuroscience and Neuropharmacology Research (14 papers) and Apelin-related biomedical research (14 papers). Kengo Sato collaborates with scholars based in Japan, Sweden and United States. Kengo Sato's co-authors include Takeharu Kakiuchi, Takuya Watanabe, Hideo Tsukada, Shingo Nishiyama, Tsutomu Hirano, Masayoshi Shichiri, Norihiro Harada, Dai Fukumoto, Hiroyuki Ohba and Remina Shirai and has published in prestigious journals such as Circulation, Journal of Neuroscience and Journal of the American College of Cardiology.

In The Last Decade

Kengo Sato

80 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kengo Sato Japan 33 914 825 769 629 498 82 2.8k
Nambi Aiyar United States 36 1.8k 2.0× 1.3k 1.6× 868 1.1× 642 1.0× 679 1.4× 107 3.8k
Bernard Masri France 26 1.1k 1.2× 1.5k 1.8× 1.4k 1.8× 1.7k 2.8× 343 0.7× 42 3.4k
Masayasu Matsumoto Japan 35 1.4k 1.5× 1.0k 1.2× 240 0.3× 162 0.3× 230 0.5× 94 4.3k
Douglas G. Tilley United States 34 2.3k 2.6× 690 0.8× 293 0.4× 217 0.3× 227 0.5× 86 3.4k
Yuichi Makino Japan 33 2.9k 3.2× 788 1.0× 497 0.6× 136 0.2× 423 0.8× 82 5.6k
Ursula Quitterer Germany 30 2.1k 2.3× 899 1.1× 176 0.2× 242 0.4× 436 0.9× 55 3.3k
Catherine Pavoine France 29 1.5k 1.6× 278 0.3× 369 0.5× 269 0.4× 302 0.6× 58 2.9k
Zsuzsanna Nagy United Kingdom 38 1.3k 1.5× 537 0.7× 207 0.3× 322 0.5× 330 0.7× 90 3.8k
David Riddell United Kingdom 21 998 1.1× 451 0.5× 489 0.6× 301 0.5× 174 0.3× 43 2.6k
Yves Audigier France 28 1.3k 1.4× 1.6k 1.9× 1.4k 1.8× 1.7k 2.7× 334 0.7× 61 3.4k

Countries citing papers authored by Kengo Sato

Since Specialization
Citations

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

Fields of papers citing papers by Kengo Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kengo Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Kengo Sato. A scholar is included among the top collaborators of Kengo Sato 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 Kengo Sato. Kengo Sato 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.
Ito, Masanori, Masami Futatsubashi, Kengo Sato, et al.. (2020). Neural correlates of head restraint: Unsolicited neuronal activation and dopamine release. NeuroImage. 224. 117434–117434. 5 indexed citations
2.
Takahashi, Yui, Rena Watanabe, Yuki Sato, et al.. (2017). Abstract 11661: Novel Phytopeptide Osmotin Mimics Atheroprotective Effects of Adiponectin via AdipoR1. Circulation. 1 indexed citations
3.
Hiromura, Munenori, Yusaku Mori, Michishige Terasaki, et al.. (2016). Suppressive Effects of Glucose-Dependent Insulinotropic Polypeptide on Cardiac Hypertrophy and Fibrosis in Angiotensin II-Infused Mouse Models. Circulation Journal. 80(9). 1988–1997. 38 indexed citations
4.
Shirai, Remina, Yui Takahashi, Miho Kojima, et al.. (2016). Facilitatory effects of fetuin-A on atherosclerosis. Atherosclerosis. 246. 344–351. 58 indexed citations
5.
Takahashi, Yui, Miho Kojima, Rena Watanabe, et al.. (2016). Contrasting effects of stanniocalcin-related polypeptides on macrophage foam cell formation and vascular smooth muscle cell migration. Peptides. 82. 120–127. 9 indexed citations
6.
Doi, Hisashi, Kengo Sato, Hideo Shindou, et al.. (2016). Blood–brain barrier permeability of ginkgolide: Comparison of the behavior of PET probes 7α-[18F]fluoro- and 10-O-p-[11C]methylbenzyl ginkgolide B in monkey and rat brains. Bioorganic & Medicinal Chemistry. 24(21). 5148–5157. 8 indexed citations
7.
Murai, Taro, Kengo Sato, Yoshihiko Manabe, et al.. (2015). Re-irradiation of recurrent anaplastic ependymoma using radiosurgery or fractionated stereotactic radiotherapy. Japanese Journal of Radiology. 34(3). 211–218. 6 indexed citations
8.
Sato, Kengo, Takuya Watanabe, Kyoko Nohtomi, et al.. (2014). A glucagon-like peptide-1 analog liraglutide suppresses macrophage foam cell formation and atherosclerosis. Peptides. 54. 19–26. 127 indexed citations
9.
Watanabe, Takuya, Kengo Sato, Fumiko Itoh, et al.. (2013). Emerging Roles for Vasoactive Peptides in Diagnostic and Therapeutic Strategies Against Atherosclerotic Cardiovascular Diseases. Current Protein and Peptide Science. 14(6). 472–480. 16 indexed citations
10.
Yamazaki, Hideya, et al.. (2011). Reirradiation of head and neck cancer focusing on hypofractionated stereotactic body radiation therapy. Radiation Oncology. 6(1). 98–98. 21 indexed citations
11.
Shichiri, Masayoshi, et al.. (2009). Expression of prosalusin in human neuroblastoma cells. Peptides. 30(7). 1362–1367. 28 indexed citations
12.
Sato, Kengo, Takatoshi Koyama, & Masayoshi Shichiri. (2008). Biosynthesis and secretion of salusin-α from human cells. Peptides. 29(12). 2203–2207. 16 indexed citations
13.
Suzuki, Noriko, Masayoshi Shichiri, Takumi Akashi, et al.. (2007). Systemic Distribution of Salusin Expression in the Rat. Hypertension Research. 30(12). 1255–1262. 58 indexed citations
14.
Kubo, Tomohiro, Kengo Sato, Daisuke Kobayashi, et al.. (2006). A case of HHV-6 associated acute necrotizing encephalopathy with increase of CD56brightNKcells. Scandinavian Journal of Infectious Diseases. 38(11-12). 1122–1125. 17 indexed citations
15.
Tsukada, Hideo, Takeharu Kakiuchi, Shingo Nishiyama, et al.. (2001). Age differences in muscarinic cholinergic receptors assayed with (+)N‐[11C]methyl‐3‐piperidyl benzilate in the brains of conscious monkeys. Synapse. 41(3). 248–257. 20 indexed citations
16.
17.
Tsukada, Hideo, Shingo Nishiyama, Hiroyuki Ohba, et al.. (2001). Cholinergic neuronal modulations affect striatal dopamine transporter activity: PET studies in the conscious monkey brain. Synapse. 42(3). 193–195. 11 indexed citations
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20.
Tsukada, Hideo, Shingo Nishiyama, Takeharu Kakiuchi, et al.. (1999). Isoflurane anesthesia enhances the inhibitory effects of cocaine and GBR12909 on dopamine transporter: PET studies in combination with microdialysis in the monkey brain. Brain Research. 849(1-2). 85–96. 104 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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