Misa Sato

810 total citations
15 papers, 609 citations indexed

About

Misa Sato is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Misa Sato has authored 15 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Control and Systems Engineering. Recurrent topics in Misa Sato's work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Speech and Audio Processing (2 papers). Misa Sato is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Speech and Audio Processing (2 papers). Misa Sato collaborates with scholars based in Japan, United States and United Kingdom. Misa Sato's co-authors include Masashi Fukaya, Tetsuya Iwasaki, Naoto Yoshida, Travis C. Geraci, Jeffrey S. Barton, S. David Cho, Ross Anderson, Martin A. Schreiber, Jennifer M. Watters and Gordon M. Riha and has published in prestigious journals such as Cancer Research, Applied Microbiology and Biotechnology and Journal of Materials Chemistry C.

In The Last Decade

Misa Sato

14 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Misa Sato Japan 8 278 184 145 101 76 15 609
Kevin Wolfe United States 15 96 0.3× 104 0.6× 70 0.5× 6 0.1× 45 0.6× 44 700
Zhi Zeng China 14 92 0.3× 124 0.7× 23 0.2× 18 0.2× 8 0.1× 90 773
Zbigniew Nawrat Poland 11 240 0.9× 59 0.3× 44 0.3× 2 0.0× 32 0.4× 60 542
Jin‐Woo Jung South Korea 15 391 1.4× 153 0.8× 282 1.9× 2 0.0× 31 0.4× 97 755
Raúl Fernández United States 15 243 0.9× 51 0.3× 73 0.5× 29 0.4× 48 1.0k
Ankur Kapoor United States 11 622 2.2× 152 0.8× 206 1.4× 61 0.8× 34 863
Guy Cloutier Canada 16 380 1.4× 292 1.6× 68 0.5× 8 0.1× 3 0.0× 49 899
Valerio Varano Italy 16 165 0.6× 148 0.8× 119 0.8× 13 0.2× 54 689
David H. Stein United States 14 115 0.4× 188 1.0× 201 1.4× 93 1.2× 25 742
Giuseppe Tortora Italy 17 448 1.6× 147 0.8× 70 0.5× 162 2.1× 40 891

Countries citing papers authored by Misa Sato

Since Specialization
Citations

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

Fields of papers citing papers by Misa Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Misa Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Misa Sato. A scholar is included among the top collaborators of Misa 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 Misa Sato. Misa Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Sato, Misa, Shuji Terai, Hiroyuki Tachikawa, et al.. (2018). Abstract P1-07-13: Obesity is associated with poor prognosis of Japanese breast cancer, especially in ER positive/HER2 negative subtype, which tendency is prominent. Cancer Research. 78(4_Supplement). P1–7. 1 indexed citations
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Yanase, Toshihiko, et al.. (2015). Learning Sentence Ordering for Opinion Generation of Debate. 94–103. 10 indexed citations
7.
Takano, Shotaro, Kentaro Uchida, Masayuki Miyagi, et al.. (2015). Synovial macrophage-derived IL-1βregulates the calcitonin receptor in osteoarthritic mice. Clinical & Experimental Immunology. 183(1). 143–149. 24 indexed citations
8.
Sato, Misa, et al.. (2015). End-to-end Argument Generation System in Debating. 109–114. 16 indexed citations
9.
Sato, Misa, Travis C. Geraci, Ross Anderson, et al.. (2014). Correlation of Missed Doses of Enoxaparin With Increased Incidence of Deep Vein Thrombosis in Trauma and General Surgery Patients. JAMA Surgery. 149(4). 365–365. 117 indexed citations
10.
Sato, Osamu, Misa Sato, Koichi Sakajiri, et al.. (2013). High-density poly(hexyl methacrylate) brushes offering a surface for near-zero azimuthal anchoring of liquid crystals at room temperature. Journal of Materials Chemistry C. 1(48). 7992–7992. 19 indexed citations
11.
Kameoka, Hirokazu, et al.. (2013). Bayesian Nonparametric Approach to Blind Separation of Infinitely Many Sparse Sources. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E96.A(10). 1928–1937. 8 indexed citations
12.
Kameoka, Hirokazu, et al.. (2012). Blind Separation of Infinitely Many Sparse Sources. 1–4. 5 indexed citations
13.
Yoshida, Naoto & Misa Sato. (2009). Plasmid uptake by bacteria: a comparison of methods and efficiencies. Applied Microbiology and Biotechnology. 83(5). 791–798. 71 indexed citations
14.
Sato, Misa, Masashi Fukaya, & Tetsuya Iwasaki. (2002). Serpentine locomotion with robotic snakes. IEEE Control Systems. 22(1). 64–81. 317 indexed citations
15.
Sato, Misa, et al.. (1984). Heavy Parts Assembly by Coordinative Control of Robot and Balancing Manipulator. IFAC Proceedings Volumes. 17(2). 2349–2354. 6 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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