Seiichi Tsukamoto

415 total citations
10 papers, 93 citations indexed

About

Seiichi Tsukamoto is a scholar working on Molecular Biology, Food Science and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Seiichi Tsukamoto has authored 10 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Food Science and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Seiichi Tsukamoto's work include Proteins in Food Systems (5 papers), Protein Structure and Dynamics (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Seiichi Tsukamoto is often cited by papers focused on Proteins in Food Systems (5 papers), Protein Structure and Dynamics (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Seiichi Tsukamoto collaborates with scholars based in Japan, Australia and Singapore. Seiichi Tsukamoto's co-authors include Kazuo Fujiwara, Masamichi Ikeguchi, Norio Fukuda, Kotaro Oyama, Shin’ichi Ishiwata, Seine A. Shintani, Fuyu Kobirumaki-Shimozawa, Yoshiteru Yamada, Togo Shimozawa and Takahiro Okabe and has published in prestigious journals such as Biochemistry, Journal of Applied Crystallography and Proteins Structure Function and Bioinformatics.

In The Last Decade

Seiichi Tsukamoto

10 papers receiving 92 citations

Peers

Seiichi Tsukamoto
Elizabeth F. Bayne United States
H. Hilmert Germany
Jennifer E. Dawson United States
Robert H. Meltzer United States
J. Robert Michael United States
Seiichi Tsukamoto
Citations per year, relative to Seiichi Tsukamoto Seiichi Tsukamoto (= 1×) peers K. Yoshida

Countries citing papers authored by Seiichi Tsukamoto

Since Specialization
Citations

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

Fields of papers citing papers by Seiichi Tsukamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiichi Tsukamoto

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

All Works

10 of 10 papers shown
1.
Oyama, Kotaro, G. Isoyama, Seiichi Tsukamoto, et al.. (2020). Single-cell temperature mapping with fluorescent thermometer nanosheets. The Journal of General Physiology. 152(8). 15 indexed citations
2.
Oyama, Kotaro, Seiichi Tsukamoto, Fuyu Kobirumaki-Shimozawa, et al.. (2018). Sarcomeric Auto-Oscillations in Single Myofibrils From the Heart of Patients With Dilated Cardiomyopathy. Circulation Heart Failure. 11(7). e004333–e004333. 6 indexed citations
3.
Shimozawa, Togo, Fuyu Kobirumaki-Shimozawa, Kotaro Oyama, et al.. (2016). In vivo cardiac nano-imaging: A new technology for high-precision analyses of sarcomere dynamics in the heart. Progress in Biophysics and Molecular Biology. 124. 31–40. 9 indexed citations
4.
Tsukamoto, Seiichi, Kotaro Oyama, Seine A. Shintani, et al.. (2016). Simultaneous imaging of local calcium and single sarcomere length in rat neonatal cardiomyocytes using yellow Cameleon-Nano140. The Journal of General Physiology. 148(4). 341–355. 18 indexed citations
5.
Okabe, Takahiro, et al.. (2014). Effect of non-native helix destabilization on the folding of equine β-lactoglobulin. The Journal of Biochemistry. 156(5). 291–297. 1 indexed citations
6.
Okabe, Takahiro, Seiichi Tsukamoto, Kazuo Fujiwara, Naoya Shibayama, & Masamichi Ikeguchi. (2014). Delineation of Solution Burst-Phase Protein Folding Events by Encapsulating the Proteins in Silica Gels. Biochemistry. 53(23). 3858–3866. 6 indexed citations
7.
Nakagawa, Kanako, Yoshiteru Yamada, Yoshitaka Matsumura, et al.. (2013). Relationship between chain collapse and secondary structure formation in a partially folded protein. Biopolymers. 101(6). 651–658. 7 indexed citations
8.
Tsukamoto, Seiichi, Kazuo Fujiwara, & Masamichi Ikeguchi. (2009). Fatty Acids Bound to Recombinant Tear Lipocalin and Their Role in Structural Stabilization. The Journal of Biochemistry. 146(3). 343–350. 15 indexed citations
9.
Tsukamoto, Seiichi, Yoshiteru Yamada, Kazuo Fujiwara, et al.. (2008). Non‐native α‐helix formation is not necessary for folding of lipocalin: Comparison of burst‐phase folding between tear lipocalin and β‐lactoglobulin. Proteins Structure Function and Bioinformatics. 76(1). 226–236. 11 indexed citations
10.
Yamada, Yoshiteru, Seiichi Tsukamoto, Kanako Nakagawa, et al.. (2007). Chloride-ion concentration dependence of molecular dimension in the acid-denatured state of equine β-lactoglobulin. Journal of Applied Crystallography. 40(s1). s213–s216. 5 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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