Takeshi Sako

154 total papers · 3.1k total citations
115 papers, 2.5k citations indexed

About

Takeshi Sako is a scholar working on Biomedical Engineering, Polymers and Plastics and Organic Chemistry. According to data from OpenAlex, Takeshi Sako has authored 115 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Biomedical Engineering, 23 papers in Polymers and Plastics and 20 papers in Organic Chemistry. Recurrent topics in Takeshi Sako's work include Phase Equilibria and Thermodynamics (41 papers), Subcritical and Supercritical Water Processes (29 papers) and Analytical Chemistry and Chromatography (16 papers). Takeshi Sako is often cited by papers focused on Phase Equilibria and Thermodynamics (41 papers), Subcritical and Supercritical Water Processes (29 papers) and Analytical Chemistry and Chromatography (16 papers). Takeshi Sako collaborates with scholars based in Japan, India and United States. Takeshi Sako's co-authors include Idzumi Okajima, Toshiyasu Sakakura, Jun‐Chul Choi, Tsutomu Sugeta, Yuko Saito, Katsuto Otake, Masahito Sato, Yoshinobu SHIMAMURA, Yoshihiro Takebayashi and Masahiro Kato and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Takeshi Sako

110 papers receiving 2.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Takeshi Sako 1.1k 669 608 437 400 115 2.5k
Alessandro Galia 1.6k 1.5× 339 0.5× 515 0.8× 308 0.7× 420 1.1× 150 4.4k
Yingxiong Wang 1.4k 1.3× 889 1.3× 161 0.3× 550 1.3× 777 1.9× 148 3.5k
Qing Zhou 914 0.8× 607 0.9× 252 0.4× 263 0.6× 297 0.7× 83 3.1k
François Cansell 2.1k 2.0× 472 0.7× 166 0.3× 429 1.0× 1.2k 3.0× 100 3.7k
Liping Guo 525 0.5× 1.2k 1.7× 604 1.0× 293 0.7× 1.2k 3.1× 91 3.9k
Haoran Wu 607 0.6× 518 0.8× 224 0.4× 163 0.4× 842 2.1× 118 2.4k
Jyri‐Pekka Mikkola 1.4k 1.3× 783 1.2× 309 0.5× 99 0.2× 609 1.5× 82 2.7k
Satoshi Yoda 1.0k 1.0× 262 0.4× 136 0.2× 291 0.7× 737 1.8× 93 2.3k
Gongying Wang 910 0.8× 637 1.0× 1.0k 1.7× 309 0.7× 983 2.5× 195 3.2k
Ying Huang 861 0.8× 853 1.3× 195 0.3× 343 0.8× 967 2.4× 89 3.7k

Countries citing papers authored by Takeshi Sako

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Sako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Sako

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

All Works

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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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