T. Kishimoto

6.4k total citations
13 papers, 198 citations indexed

About

T. Kishimoto is a scholar working on Atomic and Molecular Physics, and Optics, Nuclear and High Energy Physics and Computer Networks and Communications. According to data from OpenAlex, T. Kishimoto has authored 13 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Atomic and Molecular Physics, and Optics, 3 papers in Nuclear and High Energy Physics and 2 papers in Computer Networks and Communications. Recurrent topics in T. Kishimoto's work include Distributed and Parallel Computing Systems (2 papers), Nuclear physics research studies (2 papers) and Viral-associated cancers and disorders (2 papers). T. Kishimoto is often cited by papers focused on Distributed and Parallel Computing Systems (2 papers), Nuclear physics research studies (2 papers) and Viral-associated cancers and disorders (2 papers). T. Kishimoto collaborates with scholars based in Japan, France and Canada. T. Kishimoto's co-authors include Henri‐Jacques Delecluse, D Émilie, J. Van Damme, Tetsuya Taga, Odile Devergne, J.-F. Michiels, Christian Gisselbrecht, Martine Raphaël, R. Sawada and Benjamin Nachman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Physics Letters B.

In The Last Decade

T. Kishimoto

12 papers receiving 197 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Kishimoto Japan 4 124 102 45 35 31 13 198
J. Huang United States 4 158 1.3× 121 1.2× 20 0.4× 53 1.5× 33 1.1× 5 205
Susan M. Tollerfield United Kingdom 9 109 0.9× 145 1.4× 37 0.8× 19 0.5× 160 5.2× 9 358
Marianne Veyri France 9 149 1.2× 27 0.3× 38 0.8× 22 0.6× 7 0.2× 16 217
Houria Hendel‐Chavez France 5 32 0.3× 30 0.3× 72 1.6× 38 1.1× 47 1.5× 7 252
Ulrich Duehrsen Germany 7 125 1.0× 99 1.0× 32 0.7× 4 0.1× 72 2.3× 32 243
Selay Lam Canada 6 19 0.2× 32 0.3× 41 0.9× 7 0.2× 25 0.8× 21 114
Olga Samoylova Russia 5 100 0.8× 41 0.4× 43 1.0× 6 0.2× 39 1.3× 16 186
Ernestina Tetteh United States 6 91 0.7× 43 0.4× 16 0.4× 41 1.2× 36 1.2× 6 343
Morgan Mace United States 4 84 0.7× 24 0.2× 22 0.5× 14 0.4× 76 2.5× 8 351
Sope Olugbile United States 9 113 0.9× 64 0.6× 81 1.8× 12 0.3× 5 0.2× 19 305

Countries citing papers authored by T. Kishimoto

Since Specialization
Citations

This map shows the geographic impact of T. Kishimoto'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 T. Kishimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kishimoto more than expected).

Fields of papers citing papers by T. Kishimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Kishimoto

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

All Works

13 of 13 papers shown
1.
Saito, M., T. Kishimoto, J. Tanaka, et al.. (2021). Event Classification with Multi-step Machine Learning. Springer Link (Chiba Institute of Technology).
2.
Terashi, K., M. Saito, C. Bauer, et al.. (2021). Quantum Gate Pattern Recognition and Circuit Optimization for Scientific Applications. SHILAP Revista de lepidopterología. 8 indexed citations
3.
Tanaka, J., et al.. (2019). R&D for the expansion of the Tokyo regional analysis center using Google Cloud Platform. Proceedings Of Science. 17–17. 1 indexed citations
5.
Sekiya, Kotaro, et al.. (2008). Realization of multiple color gamuts in OCB field sequential color LCDs with LED scanning backlights. 1 indexed citations
6.
Hasegawa, Atsushi, T. Kishimoto, Yasuyoshi Mitsumori, Masahide Sasaki, & F. Minami. (2004). Multi-wave-mixing of two-dimensional excitons in semiconductors. Journal of Luminescence. 108(1-4). 211–214. 2 indexed citations
7.
Horiuchi, Hideki, et al.. (1995). Suppressive effect of clenbuterol on citric acid-induced cough reflex in guinea pigs.. PubMed. 88(3). 293–301. 2 indexed citations
8.
Kishimoto, T., et al.. (1992). Antihypertensive effect of the new calcium antagonist (+-)-3-(benzylmethylamino)-2,2-dimethylpropyl-methyl-4-(2-fluoro-5- nitrophenyl)-1,4-dihydro-2,6-dimethyl-3,5-pyridinedicarboxylate hydrochloride in rats.. PubMed. 42(1). 513–16. 2 indexed citations
11.
Nomachi, M., T.-A. Shibata, K. Okada, et al.. (1985). Medium energy gamma rays following radiative capture of 50 MeV polarized protons onB11. Physical Review C. 31(1). 242–245. 3 indexed citations
12.
Kasagi, J., et al.. (1984). Gamma decay of positive-parity levels in 45Ti from the 42Ca(α, nγ)45Ti reaction. Nuclear Physics A. 414(2). 206–218. 5 indexed citations
13.
Kubo, T., et al.. (1983). Deuteron D-state effects on the vector polarization observables in (d, p) reactions at 55.4 MeV. Physics Letters B. 127(6). 403–406. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026