Tsubasa Saeki

15 total papers · 864 total citations
11 papers, 760 citations indexed

About

Tsubasa Saeki is a scholar working on Materials Chemistry, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Tsubasa Saeki has authored 11 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 3 papers in Computational Mechanics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Tsubasa Saeki's work include Fusion materials and technologies (6 papers), Diamond and Carbon-based Materials Research (4 papers) and Ion-surface interactions and analysis (3 papers). Tsubasa Saeki is often cited by papers focused on Fusion materials and technologies (6 papers), Diamond and Carbon-based Materials Research (4 papers) and Ion-surface interactions and analysis (3 papers). Tsubasa Saeki collaborates with scholars based in Japan. Tsubasa Saeki's co-authors include Shin Kajita, N. Ohno, Naoaki Yoshida, Wataru Sakaguchi, A. Iwamae, Reiko Yoshihara, Miyuki Yajima, M. Tokitani, T. Hatae and Akihiro Ikeda and has published in prestigious journals such as Japanese Journal of Applied Physics, Journal of Nuclear Materials and Nuclear Fusion.

In The Last Decade

Tsubasa Saeki

11 papers receiving 736 citations

Hit Papers

Formation process of tung... 2009 2026 2014 2020 2009 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Tsubasa Saeki 708 217 165 122 112 11 760
Wataru Sakaguchi 780 1.1× 243 1.1× 198 1.2× 139 1.1× 142 1.3× 16 863
G.M. Wright 640 0.9× 209 1.0× 208 1.3× 87 0.7× 176 1.6× 26 730
K. Rosolanková 602 0.9× 100 0.5× 226 1.4× 138 1.1× 178 1.6× 13 821
R.G. Macaulay-Newcombe 793 1.1× 182 0.8× 167 1.0× 88 0.7× 165 1.5× 28 832
K. Vörtler 542 0.8× 122 0.6× 84 0.5× 145 1.2× 77 0.7× 20 637
C. E. Wehrenberg 508 0.7× 110 0.5× 191 1.2× 239 2.0× 95 0.8× 27 736
G. De Temmerman 529 0.7× 126 0.6× 179 1.1× 121 1.0× 292 2.6× 19 715
Luis Sandoval 708 1.0× 187 0.9× 103 0.6× 304 2.5× 26 0.2× 26 858
Joachim Roth 549 0.8× 184 0.8× 122 0.7× 47 0.4× 194 1.7× 11 631
J.M. Perlado 633 0.9× 187 0.9× 76 0.5× 140 1.1× 25 0.2× 27 715

Countries citing papers authored by Tsubasa Saeki

Since Specialization
Citations

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

Fields of papers citing papers by Tsubasa Saeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsubasa Saeki

This figure shows the co-authorship network connecting the top 25 collaborators of Tsubasa Saeki. A scholar is included among the top collaborators of Tsubasa Saeki 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 Tsubasa Saeki. Tsubasa Saeki 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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