Makito Sato

2.2k total citations
101 papers, 1.3k citations indexed

About

Makito Sato is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Makito Sato has authored 101 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Endocrinology, Diabetes and Metabolism, 25 papers in Cardiology and Cardiovascular Medicine and 24 papers in Molecular Biology. Recurrent topics in Makito Sato's work include Hormonal Regulation and Hypertension (25 papers), Inflammatory mediators and NSAID effects (19 papers) and Eicosanoids and Hypertension Pharmacology (13 papers). Makito Sato is often cited by papers focused on Hormonal Regulation and Hypertension (25 papers), Inflammatory mediators and NSAID effects (19 papers) and Eicosanoids and Hypertension Pharmacology (13 papers). Makito Sato collaborates with scholars based in Japan, United States and Vietnam. Makito Sato's co-authors include KAORU YOSHINAGA, Keishi Abe, John L. Davis, Bert M. Glaser, Peter A. Campochiaro, Minoru Yasujima, Ken Omata, Yutaka Imai, Masashi Yanagisawa and T Haruyama and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Makito Sato

95 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makito Sato Japan 20 337 282 170 154 135 101 1.3k
Yoshinori Hinokio Japan 25 754 2.2× 209 0.7× 437 2.6× 234 1.5× 138 1.0× 36 1.9k
Elizabeth Stevens United Kingdom 20 294 0.9× 287 1.0× 252 1.5× 450 2.9× 46 0.3× 29 1.7k
Hsiu‐Fen Lin Taiwan 24 473 1.4× 428 1.5× 153 0.9× 132 0.9× 83 0.6× 78 1.7k
Kota Sato Japan 25 567 1.7× 117 0.4× 53 0.3× 356 2.3× 133 1.0× 166 2.0k
Hyman Engelberg United States 19 229 0.7× 398 1.4× 198 1.2× 159 1.0× 64 0.5× 86 1.5k
Jason Viereck United States 16 726 2.2× 285 1.0× 137 0.8× 463 3.0× 49 0.4× 36 1.6k
Fernando D. Testai United States 28 627 1.9× 292 1.0× 43 0.3× 225 1.5× 34 0.3× 123 2.6k
Noriko Yoshida Japan 27 929 2.8× 387 1.4× 101 0.6× 178 1.2× 47 0.3× 98 2.1k
Joseph P. Noon United Kingdom 17 244 0.7× 583 2.1× 299 1.8× 627 4.1× 65 0.5× 18 1.5k
Gerard King Ireland 11 192 0.6× 389 1.4× 103 0.6× 159 1.0× 36 0.3× 29 924

Countries citing papers authored by Makito Sato

Since Specialization
Citations

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

Fields of papers citing papers by Makito Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makito Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Makito Sato. A scholar is included among the top collaborators of Makito 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 Makito Sato. Makito 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.
Yoshida, S., Emi Yuda, Kento Masukawa, et al.. (2024). Automatic Pain Detection Algorithm for Patients with Cancer Pain Using Wristwatch Wearable Devices. PubMed. 2024. 1–4.
2.
Kanda, Takeshi, et al.. (2024). A novel GABAergic population in the medial vestibular nucleus maintains wakefulness and gates rapid eye movement sleep. iScience. 27(3). 109289–109289. 3 indexed citations
3.
Mohawk, Jennifer A., Kimberly H. Cox, Makito Sato, et al.. (2019). Neuronal Myocyte-Specific Enhancer Factor 2D (MEF2D) Is Required for Normal Circadian and Sleep Behavior in Mice. Journal of Neuroscience. 39(40). 7958–7967. 16 indexed citations
4.
Ohyama, Yoshiaki, Ayako Taketomi-Takahashi, Huong Thanh Nguyen, et al.. (2018). Influence of cardiac function on image quality in coronary computed tomography angiography. Clinical Imaging. 53. 58–64. 1 indexed citations
5.
Suzuki, Yuta, Makito Sato, Hiroaki Shiokawa, Masashi Yanagisawa, & Hiroyuki Kitagawa. (2017). MASC: Automatic Sleep Stage Classification Based on Brain and Myoelectric Signals. 1489–1496. 9 indexed citations
6.
Kasama, Shu, et al.. (2015). Myocardial scintigraphic evidence of Kounis syndrome: what is the aetiology of acute coronary syndrome?. European Heart Journal. 37(14). 1157–1157. 19 indexed citations
7.
8.
9.
Sato, Makito, Toshiharu Yamashita, Akiko Satô, et al.. (2009). N-Propionyl-Cysteaminylphenol-Magnetite Conjugate (NPrCAP/M) Is a Nanoparticle for the Targeted Growth Suppression of Melanoma Cells. Journal of Investigative Dermatology. 129(9). 2233–2241. 38 indexed citations
10.
Ono, Ichiro, Yoshikiyo Akasaka, Takafumi Kamiya, et al.. (2009). De novo follicular regeneration of the skin by wingless int 3 and bone morphogenetic protein 2 genes introduced into dermal fibroblasts and fibroblast growth factor‐2 protein. Wound Repair and Regeneration. 17(3). 436–446. 1 indexed citations
11.
Sato, Makito, Kenji Saga, & Hiroyuki Takahashi. (2008). Postmenopausal frontal fibrosing alopecia in a Japanese woman with Sjögren's syndrome. The Journal of Dermatology. 35(11). 729–731. 17 indexed citations
12.
Sato, Makito, Jun Ohashi, Naoyuki Tsuchiya, et al.. (2002). Association of HLA-A*3303-B*4403-DRB1*1302 haplotype, but not of TNFA promoter and NKp30 polymorphism, with postherpetic neuralgia (PHN) in the Japanese population. Genes and Immunity. 3(8). 477–481. 30 indexed citations
13.
Sato, Makito, Jun Ohashi, Naoyuki Tsuchiya, et al.. (2001). Identification of novel single nucleotide substitutions in the NKp30 gene expressed in human natural killer cells. Tissue Antigens. 58(4). 255–258. 11 indexed citations
14.
Sato, Makito. (2000). Influence of Corn Oil and Diet on Reproduction and the Kidney in Female Sprague-Dawley Rats. Toxicological Sciences. 56(1). 156–164. 10 indexed citations
15.
Sauvaget, Catherine, Ichiro Tsuji, Yuko Minami, et al.. (1997). Dementia-Free Life Expectancy among Elderly Japanese. Gerontology. 43(3). 168–175. 18 indexed citations
16.
Tsuji, Ichiro, et al.. (1994). [Changes in physical disability among Japanese elderly].. PubMed. 41(5). 415–23. 7 indexed citations
17.
18.
Yasujima, Minoru, Keishi Abe, Masaya Tanno, et al.. (1987). Renal Kallikrein Activity in Spontaneously Hypertensive Rats. Journal of Hypertension. 5(6). 687–692. 2 indexed citations
19.
Abe, K., Kazuo Tsunoda, Makito Sato, et al.. (1987). Interactions of Renal Prostaglandins, Renin-Angiotensin System and Renal Kallikrein-Kinin System in Human Hypertension. Birkhäuser Basel eBooks. 22. 215–220.
20.
Yasujima, Minoru, Keishi Abe, Nobuo Irokawa, et al.. (1978). Urinary prostaglandin and sodium metabolism in patients with essential hypertension.. The Tohoku Journal of Experimental Medicine. 124(3). 277–283. 7 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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