Toshimoto Kushida

39 total papers · 585 total citations
31 papers, 451 citations indexed

About

Toshimoto Kushida is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Geophysics. According to data from OpenAlex, Toshimoto Kushida has authored 31 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 16 papers in Atomic and Molecular Physics, and Optics and 7 papers in Geophysics. Recurrent topics in Toshimoto Kushida's work include Solid-state spectroscopy and crystallography (12 papers), Advanced NMR Techniques and Applications (7 papers) and High-pressure geophysics and materials (7 papers). Toshimoto Kushida is often cited by papers focused on Solid-state spectroscopy and crystallography (12 papers), Advanced NMR Techniques and Applications (7 papers) and High-pressure geophysics and materials (7 papers). Toshimoto Kushida collaborates with scholars based in United States, Japan and France. Toshimoto Kushida's co-authors include A. H. Silver, Jason Murphy, Yoshitaka Kōi, Akira Tsujimura, Erhard W. Rothe, Daniel Fried, Gene P. Reck, Mitsugu Hanabusa, T. Hihara and R. W. Terhune and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

Toshimoto Kushida

31 papers receiving 417 citations

Author Peers

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

Author Last Decade Papers Cites
Toshimoto Kushida 209 175 120 90 88 31 451
M. Thomas 165 0.8× 212 1.2× 76 0.6× 75 0.8× 87 1.0× 36 532
K. Nishiyama 140 0.7× 169 1.0× 170 1.4× 47 0.5× 89 1.0× 45 526
M. J. R. Hoch 276 1.3× 168 1.0× 103 0.9× 69 0.8× 176 2.0× 47 530
R. R. Hewitt 192 0.9× 165 0.9× 190 1.6× 43 0.5× 127 1.4× 20 441
P. F. Chester 223 1.1× 127 0.7× 117 1.0× 62 0.7× 42 0.5× 19 479
E. H. Jacobsen 175 0.8× 283 1.6× 113 0.9× 44 0.5× 37 0.4× 21 521
A. R. Arends 173 0.8× 152 0.9× 115 1.0× 43 0.5× 37 0.4× 17 444
Kenjirô Kambe 294 1.4× 178 1.0× 83 0.7× 106 1.2× 158 1.8× 26 501
C.J.C Edwards 130 0.6× 100 0.6× 75 0.6× 59 0.7× 52 0.6× 19 413
Hiroshi Miyagi 132 0.6× 208 1.2× 55 0.5× 30 0.3× 62 0.7× 48 487

Countries citing papers authored by Toshimoto Kushida

Since Specialization
Citations

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

Fields of papers citing papers by Toshimoto Kushida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshimoto Kushida

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