T. Mitsui

1.6k total citations · 1 hit paper
43 papers, 1.1k citations indexed

About

T. Mitsui is a scholar working on Atmospheric Science, Cardiology and Cardiovascular Medicine and Statistical and Nonlinear Physics. According to data from OpenAlex, T. Mitsui has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 8 papers in Cardiology and Cardiovascular Medicine and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in T. Mitsui's work include Geology and Paleoclimatology Research (13 papers), Ecosystem dynamics and resilience (6 papers) and Cardiomyopathy and Myosin Studies (6 papers). T. Mitsui is often cited by papers focused on Geology and Paleoclimatology Research (13 papers), Ecosystem dynamics and resilience (6 papers) and Cardiomyopathy and Myosin Studies (6 papers). T. Mitsui collaborates with scholars based in Japan, United Kingdom and Germany. T. Mitsui's co-authors include W. B. Westphal, R. Pepinsky, Satoshi Hoshino, F. Jona, Michel Crucifix, Eric Wolff, Polychronis C. Tzedakis, D. P. Eastman, Y. Okaya and Niklas Boers and has published in prestigious journals such as Nature, Biophysical Journal and Journal of Physics D Applied Physics.

In The Last Decade

T. Mitsui

40 papers receiving 1.1k citations

Hit Papers

Dielectric and X-Ray Studies ofCaxBa1−xTiO3andCaxSr1−xTiO3 1961 2026 1982 2004 1961 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Mitsui Japan 12 693 372 295 187 179 43 1.1k
José Enríque Spain 17 743 1.1× 741 2.0× 38 0.1× 205 1.1× 103 0.6× 105 1.4k
Xiaohui Liu China 20 1.0k 1.5× 330 0.9× 386 1.3× 234 1.3× 68 0.4× 59 1.5k
Xian Wu United States 19 230 0.3× 145 0.4× 302 1.0× 58 0.3× 120 0.7× 43 958
S. Aramaki Japan 17 236 0.3× 87 0.2× 74 0.3× 80 0.4× 154 0.9× 44 863
Karo Michaelian Mexico 20 1.3k 1.8× 417 1.1× 211 0.7× 123 0.7× 539 3.0× 60 2.0k
N. Kristianpoller Israel 18 787 1.1× 59 0.2× 285 1.0× 90 0.5× 80 0.4× 92 1.1k
Eran Greenberg United States 30 1.4k 2.0× 564 1.5× 245 0.8× 118 0.6× 67 0.4× 147 3.6k
Shuqing Jiang China 16 568 0.8× 232 0.6× 88 0.3× 69 0.4× 74 0.4× 73 1.1k
N. Duane Loh Singapore 16 621 0.9× 145 0.4× 146 0.5× 164 0.9× 184 1.0× 50 1.3k

Countries citing papers authored by T. Mitsui

Since Specialization
Citations

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

Fields of papers citing papers by T. Mitsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

20 of 20 papers shown
1.
Mitsui, T. & Niklas Boers. (2024). Statistical precursor signals for Dansgaard–Oeschger cooling transitions. Climate of the past. 20(3). 683–699. 3 indexed citations
2.
Mitsui, T., Matteo Willeit, & Niklas Boers. (2023). Synchronization phenomena observed in glacial–interglacial cycles simulated in an Earth system model of intermediate complexity. Earth System Dynamics. 14(6). 1277–1294. 4 indexed citations
3.
Mitsui, T., et al.. (2022). Orbital insolation variations, intrinsic climate variability, and Quaternary glaciations. Climate of the past. 18(4). 863–893. 17 indexed citations
4.
Mitsui, T., Polychronis C. Tzedakis, & Eric Wolff. (2022). Insolation evolution and ice volume legacies determine interglacial and glacial intensity. Climate of the past. 18(9). 1983–1996. 6 indexed citations
5.
Sherriff‐Tadano, Sam, Ayako Abe‐Ouchi, Akira Oka, T. Mitsui, & Fuyuki Saito. (2021). Does a difference in ice sheets between Marine Isotope Stages 3 and 5a affect the duration of stadials?. 1 indexed citations
6.
Mitsui, T., et al.. (2021). Orbital Insolation Variations, Intrinsic Climate Variability, and Quaternary Glaciations. Refubium (Universitätsbibliothek der Freien Universität Berlin). 2 indexed citations
7.
Sherriff‐Tadano, Sam, Ayako Abe‐Ouchi, Akira Oka, T. Mitsui, & Fuyuki Saito. (2021). Does a difference in ice sheets between Marine Isotope Stages 3 and 5a affect the duration of stadials? Implications from hosing experiments. Climate of the past. 17(5). 1919–1936. 2 indexed citations
8.
Ditlevsen, Peter, T. Mitsui, & Michel Crucifix. (2019). Crossover and peaks in the Pleistocene climate spectrum; understanding from simple ice age models. Climate Dynamics. 54(3-4). 1801–1818. 10 indexed citations
9.
Tzedakis, Polychronis C., Michel Crucifix, T. Mitsui, & Eric Wolff. (2017). A simple rule to determine which insolation cycles lead to interglacials. Nature. 542(7642). 427–432. 100 indexed citations
10.
Mitsui, T., Michel Crucifix, & Kazuyuki Aihara. (2015). Bifurcations and strange nonchaotic attractors in a phase oscillator model of glacial–interglacial cycles. Physica D Nonlinear Phenomena. 306. 25–33. 15 indexed citations
11.
Mitsui, T., et al.. (2012). Torus-doubling process via strange nonchaotic attractors. Physics Letters A. 376(24-25). 1907–1914. 3 indexed citations
12.
Mitsui, T.. (2011). Subdiffusion due to strange nonchaotic dynamics: A numerical study. Physical Review E. 83(6). 66212–66212. 3 indexed citations
13.
Mitsui, T. & Yôji Aizawa. (2010). Intermittency route to strange nonchaotic attractors in a non-skew-product map. Physical Review E. 81(4). 46210–46210. 4 indexed citations
14.
Mitsui, T.. (2008). Nonchaotic stagnant motion in a marginal quasiperiodic gradient system. Physical Review E. 78(2). 26206–26206. 1 indexed citations
15.
Yoshimura, Hideaki�, et al.. (2000). Application of SEM-modified X-ray microscope to entomology and histology, and effects of X-ray coherence in imaging. Journal of Electron Microscopy. 49(5). 621–628. 10 indexed citations
16.
Mitsui, T.. (1999). Induced potential model of muscular contraction mechanism and myosin molecular structure. Advances in Biophysics. 36. 107–158. 1 indexed citations
17.
Mitsui, T., et al.. (1998). Induced Potential Model for Muscular Contraction Mechanism, Including Two Attached States of Myosin Head. Journal of Theoretical Biology. 192(1). 35–41. 3 indexed citations
18.
Mitsui, T.. (1987). Development of super fine wire solder by in-rotating-liquid spinning method.. Bulletin of the Japan Institute of Metals. 26(4). 314–316. 1 indexed citations
19.
Wakabayashi, Katsuzo, Hajime Tanaka, Yoshiyuki Amemiya, et al.. (1985). Time-resolved x-ray diffraction studies on the intensity changes of the 5.9 and 5.1 nm actin layer lines from frog skeletal muscle during an isometric tetanus using synchrotron radiation. Biophysical Journal. 47(6). 847–850. 36 indexed citations
20.
Pepinsky, R., Y. Okaya, D. P. Eastman, & T. Mitsui. (1957). Ferroelectricity in Glycine Silver Nitrate. Physical Review. 107(6). 1538–1539. 66 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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