Satoshi Tsukamoto

3.0k total citations · 1 hit paper
77 papers, 2.2k citations indexed

About

Satoshi Tsukamoto is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Satoshi Tsukamoto has authored 77 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 23 papers in Electrical and Electronic Engineering and 17 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Satoshi Tsukamoto's work include Reproductive Biology and Fertility (17 papers), Autophagy in Disease and Therapy (13 papers) and Advanced MIMO Systems Optimization (13 papers). Satoshi Tsukamoto is often cited by papers focused on Reproductive Biology and Fertility (17 papers), Autophagy in Disease and Therapy (13 papers) and Advanced MIMO Systems Optimization (13 papers). Satoshi Tsukamoto collaborates with scholars based in Japan, United States and France. Satoshi Tsukamoto's co-authors include Noboru Mizushima, Akiko Kuma, Akitsugu Yamamoto, Chieko Kishi, Mirei Murakami, Naojiro Minami, Hideaki Morishita, Atsushi Yamamoto, Y. Toyota and Yutaro Hama and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Satoshi Tsukamoto

70 papers receiving 2.2k citations

Hit Papers

An Autophagic Flux Probe that Releases an Internal Control 2016 2026 2019 2022 2016 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
Satoshi Tsukamoto Japan 21 1.1k 864 456 280 170 77 2.2k
Jessie E. King United States 9 2.4k 2.1× 415 0.5× 97 0.2× 405 1.4× 369 2.2× 10 3.4k
Zhen Li China 26 1.4k 1.3× 129 0.1× 120 0.3× 125 0.4× 142 0.8× 148 2.5k
Zhenghong Zhang China 21 351 0.3× 115 0.1× 193 0.4× 141 0.5× 135 0.8× 71 1.2k
Grace Y. Liu United States 7 1.5k 1.3× 357 0.4× 38 0.1× 308 1.1× 341 2.0× 13 2.3k
Xiaohui Wu China 27 2.5k 2.2× 220 0.3× 150 0.3× 440 1.6× 248 1.5× 85 3.5k
Hidenori Otera Japan 23 4.2k 3.6× 879 1.0× 75 0.2× 536 1.9× 571 3.4× 27 4.8k
Carla F. Bento United Kingdom 21 1.2k 1.1× 1.6k 1.9× 136 0.3× 893 3.2× 563 3.3× 28 3.0k
Kazuya Matsumoto Japan 26 1.2k 1.1× 77 0.1× 545 1.2× 89 0.3× 145 0.9× 111 2.0k
Brian Magnuson United States 18 1.6k 1.4× 221 0.3× 53 0.1× 223 0.8× 118 0.7× 37 2.3k
Éric R. Paquet Canada 30 2.3k 2.0× 116 0.1× 145 0.3× 133 0.5× 113 0.7× 61 3.0k

Countries citing papers authored by Satoshi Tsukamoto

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Tsukamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Tsukamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Tsukamoto. A scholar is included among the top collaborators of Satoshi 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 Satoshi Tsukamoto. Satoshi Tsukamoto 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.
Tsukamoto, Satoshi, et al.. (2024). TRPC6 is a mechanosensitive channel essential for ultrasound neuromodulation in the mammalian brain. Proceedings of the National Academy of Sciences. 121(50). e2404877121–e2404877121.
2.
Maejima, Ikuko, Taichi Hara, Satoshi Tsukamoto, et al.. (2023). RAB35 is required for murine hippocampal development and functions by regulating neuronal cell distribution. Communications Biology. 6(1). 440–440. 6 indexed citations
3.
Kyuuma, Masanao, Keiichi Inoue, Yuki Hata, et al.. (2021). Mitophagy reporter mouse analysis reveals increased mitophagy activity in disuse‐induced muscle atrophy. Journal of Cellular Physiology. 236(11). 7612–7624. 23 indexed citations
4.
Chino, Haruka, et al.. (2021). NEK9 regulates primary cilia formation by acting as a selective autophagy adaptor for MYH9/myosin IIA. Nature Communications. 12(1). 3292–3292. 40 indexed citations
5.
Tsukamoto, Satoshi, et al.. (2021). mRNA decapping factor Dcp1a is essential for embryonic growth in mice. Biochemical and Biophysical Research Communications. 555. 128–133. 7 indexed citations
6.
Hara, Taichi, Ikuko Maejima, Hisae Kobayashi, et al.. (2018). Rer1-mediated quality control system is required for neural stem cell maintenance during cerebral cortex development. PLoS Genetics. 14(9). e1007647–e1007647. 12 indexed citations
7.
Hou, Yafei, et al.. (2017). Throughput Measurement of 2-by-2 LCX-MIMO System over Linear Corridor Environment. 41(6). 37–40.
8.
Yoshii, Saori R., Akiko Kuma, Takumi Akashi, et al.. (2016). Systemic Analysis of Atg5-Null Mice Rescued from Neonatal Lethality by Transgenic ATG5 Expression in Neurons. Developmental Cell. 39(1). 116–130. 100 indexed citations
9.
Fujita, Takahiro, et al.. (2015). Study on multiple antenna combining for sequentially switched antenna array receivers. International Symposium on Antennas and Propagation.
10.
Suzuki, Shinnosuke, et al.. (2015). Histone methyltransferase Smyd3 regulates early embryonic lineage commitment in mice. Reproduction. 150(1). 21–30. 17 indexed citations
11.
Sogawa, Chizuru, Yasuhiro Fujiwara, Satoshi Tsukamoto, et al.. (2014). Mutant phenotype analysis suggests potential roles for C-type natriuretic peptide receptor (NPR-B) in male mouse fertility. Reproductive Biology and Endocrinology. 12(1). 64–64. 11 indexed citations
12.
Tsukamoto, Satoshi, et al.. (2013). Field experiments of LTE-Advanced-based 8×8 multiuser MIMO system with vector perturbation. 83–88. 4 indexed citations
13.
Miyasaka, Tomohiro, et al.. (2013). A proposal of QoE based self-organized wireless system considering the measurement results in a major hospital. 101–106. 6 indexed citations
14.
Tsukamoto, Satoshi, et al.. (2013). Outdoor experiments of nonlinear multiuser MIMO transmission with vector perturbation. IEICE Technical Report; IEICE Tech. Rep.. 112(424). 237–242. 1 indexed citations
15.
Fujimori, Akira, Kyoko Itoh, Hirokazu Hirakawa, et al.. (2013). Disruption of Aspm causes microcephaly with abnormal neuronal differentiation. Brain and Development. 36(8). 661–669. 33 indexed citations
16.
Hou, Yafei, et al.. (2012). Precoding Weight Interpolation Method to Mitigate Spectrum Efficiency Loss of Vector Perturbation Based Multiuser MIMO with Limited CSI Feedback (無線通信システム). 112(239). 195–200.
17.
Hou, Yafei, et al.. (2012). Precoding Weight Interpolation Method to Mitigate Spectrum Efficiency Loss of Vector Perturbation Based Multiuser MIMO with Limited CSI Feedback. IEICE Technical Report; IEICE Tech. Rep.. 112(239). 195–200.
18.
Yano, Kazuto, et al.. (2012). R&D on DSA system for efficient spectrum usage in ISM band. IEICE Technical Report; IEICE Tech. Rep.. 111(452). 65–72. 1 indexed citations
19.
Yano, Kazuto, et al.. (2008). Multi-node link-level simulation including MAC layer processing. IEICE Technical Report; IEICE Tech. Rep.. 107(518). 73–78. 1 indexed citations
20.
Tsukamoto, Satoshi, et al.. (2006). Oog1, an oocyte-specific protein, interacts with Ras and Ras-signaling proteins during early embryogenesis. Biochemical and Biophysical Research Communications. 343(4). 1105–1112. 12 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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