Kanako Sugimoto

1.1k total citations
4 papers, 59 citations indexed

About

Kanako Sugimoto is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Genetics. According to data from OpenAlex, Kanako Sugimoto has authored 4 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Astronomy and Astrophysics, 1 paper in Artificial Intelligence and 1 paper in Genetics. Recurrent topics in Kanako Sugimoto's work include Astro and Planetary Science (2 papers), Astrophysics and Star Formation Studies (2 papers) and Human-Animal Interaction Studies (1 paper). Kanako Sugimoto is often cited by papers focused on Astro and Planetary Science (2 papers), Astrophysics and Star Formation Studies (2 papers) and Human-Animal Interaction Studies (1 paper). Kanako Sugimoto collaborates with scholars based in Japan and Germany. Kanako Sugimoto's co-authors include Tomoyuki Hanawa, Naoya Fukuda, J. Kern, Takeshi Nakazato, D. Muders, Vincent Geers, Drew Medlin, Emmanuel Momjian, C. J. Chandler and S. J. Williams and has published in prestigious journals such as The Astrophysical Journal and MPG.PuRe (Max Planck Society).

In The Last Decade

Kanako Sugimoto

3 papers receiving 57 citations

Peers

Kanako Sugimoto
A. Rémy Germany
Gaylor Wafflard-Fernandez France
J. Kozminski United States
Jason E. Ybarra United States
Jochen Stadler United Kingdom
Rahul Patel United States
David Languignon Spain
Travis J. Thieme Taiwan
Pietro Curone United Kingdom
M. Tuttlebee Netherlands
A. Rémy Germany
Kanako Sugimoto
Citations per year, relative to Kanako Sugimoto Kanako Sugimoto (= 1×) peers A. Rémy

Countries citing papers authored by Kanako Sugimoto

Since Specialization
Citations

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

Fields of papers citing papers by Kanako Sugimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanako Sugimoto

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

All Works

4 of 4 papers shown
1.
Kent, Brian R., J. Masters, C. J. Chandler, et al.. (2018). The Very Large Array Data Processing Pipeline. MPG.PuRe (Max Planck Society). 231.
2.
Sugimoto, Kanako, et al.. (2005). Evolution of a Protobinary: Accretion Rates of the Primary and Secondary. The Astrophysical Journal. 623(2). 922–939. 54 indexed citations
3.
Sugimoto, Kanako, et al.. (2004). Effects of the Interaction with Dolphins on Physical and Mental conditions of the Elderly. 9. 11–16. 1 indexed citations
4.
Sugimoto, Kanako, Tomoyuki Hanawa, & Naoya Fukuda. (2004). Decay of Alfven Waves in a Filamentary Cloud. The Astrophysical Journal. 609(2). 810–825. 4 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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2026