Masaki Sekino

7.4k total citations · 2 hit papers
210 papers, 6.0k citations indexed

About

Masaki Sekino is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Masaki Sekino has authored 210 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Radiology, Nuclear Medicine and Imaging, 66 papers in Biomedical Engineering and 38 papers in Electrical and Electronic Engineering. Recurrent topics in Masaki Sekino's work include Advanced MRI Techniques and Applications (56 papers), Transcranial Magnetic Stimulation Studies (34 papers) and Neuroscience and Neural Engineering (24 papers). Masaki Sekino is often cited by papers focused on Advanced MRI Techniques and Applications (56 papers), Transcranial Magnetic Stimulation Studies (34 papers) and Neuroscience and Neural Engineering (24 papers). Masaki Sekino collaborates with scholars based in Japan, United States and United Kingdom. Masaki Sekino's co-authors include Tomoyuki Yokota, Takao Someya, Shoogo Ueno, Hiroyuki Ohsaki, Wonryung Lee, Naoji Matsuhisa, Sunghoon Lee, Yusuke Inoue, Hanbit Jin and Kenjiro Fukuda and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Masaki Sekino

196 papers receiving 5.9k citations

Hit Papers

Inflammation-free, gas-permeable, lightweight, stretchabl... 2017 2026 2020 2023 2017 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masaki Sekino Japan 33 3.6k 2.2k 1.8k 997 844 210 6.0k
Hye Rim Cho South Korea 22 4.2k 1.2× 1.5k 0.7× 1.3k 0.7× 874 0.9× 455 0.5× 47 5.7k
Yuhao Liu China 21 4.3k 1.2× 1.7k 0.8× 1.5k 0.9× 1.2k 1.2× 808 1.0× 44 5.3k
Ellis Meng United States 37 3.0k 0.8× 2.0k 0.9× 563 0.3× 754 0.8× 2.3k 2.7× 186 5.0k
Philippe Renaud Switzerland 55 9.1k 2.5× 4.6k 2.1× 450 0.3× 495 0.5× 1.6k 1.8× 262 12.6k
John S. Ho Singapore 40 4.1k 1.1× 2.4k 1.1× 944 0.5× 734 0.7× 914 1.1× 116 6.6k
Pingqiang Cai Singapore 37 2.5k 0.7× 1.4k 0.7× 885 0.5× 677 0.7× 626 0.7× 58 4.6k
Matsuhiko Nishizawa Japan 54 3.2k 0.9× 4.2k 1.9× 1.4k 0.8× 140 0.1× 946 1.1× 263 8.7k
Jang‐Ung Park South Korea 63 9.1k 2.5× 6.8k 3.1× 2.6k 1.5× 1.4k 1.4× 1.3k 1.5× 153 13.4k
Xinge Yu China 54 4.4k 1.2× 4.5k 2.1× 2.9k 1.6× 1.1k 1.1× 366 0.4× 208 8.9k
Jong Won Chung South Korea 28 5.0k 1.4× 4.2k 1.9× 4.3k 2.4× 987 1.0× 484 0.6× 62 7.9k

Countries citing papers authored by Masaki Sekino

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Sekino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Sekino

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Sekino. A scholar is included among the top collaborators of Masaki Sekino 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 Masaki Sekino. Masaki Sekino 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
3.
Matsumoto, Wataru, Kei Kamada, Mizuki Uenomachi, et al.. (2024). Modality for estimating NMR relaxation time using perturbed angular correlation in double-photon emission nuclides. AIP Advances. 14(1). 1 indexed citations
4.
Katsumi, Ryota, Tokuhisa Kawawaki, S. Yabukami, et al.. (2023). Rapid virus detection using magnetic second harmonics of superparamagnetic iron oxide nanoparticles. AIP Advances. 13(2). 3 indexed citations
5.
Kuwahata, Akihiro, et al.. (2023). Localization of a Ferromagnetic Marker Being Magnetized by a Magnetic Probe Equipped With a Permanent Magnet. IEEE Transactions on Magnetics. 59(11). 1–5.
6.
Sugiyama, Satomi, Toshinori Iwai, Senri Oguri, et al.. (2022). Sentinel lymph node biopsy with a handheld cordless magnetic probe following preoperative MR lymphography using superparamagnetic iron oxide for clinically N0 early oral cancer: A feasibility study. Journal of Stomatology Oral and Maxillofacial Surgery. 123(5). 521–526. 3 indexed citations
7.
Peek, Mirjam, Kohei Saeki, Rose Baker, et al.. (2021). Optimization of SPIO Injection for Sentinel Lymph Node Dissection in a Rat Model. Cancers. 13(19). 5031–5031. 5 indexed citations
8.
Kuwahata, Akihiro, et al.. (2020). Numerical and Experimental Evaluation of Magnetic Markers for Localized Tumor Excision With a Handheld Magnetic Probe. IEEE Transactions on Magnetics. 57(2). 1–5. 1 indexed citations
9.
Hirose, Akira, et al.. (2019). Neural Networks with multiple feature extractors for monitoring tissue circulation. IEICE Technical Report; IEICE Tech. Rep.. 119(225). 53–57.
10.
Sekino, Masaki, Akihiro Kuwahata, Miki Kaneko, et al.. (2018). Handheld magnetic probe with permanent magnet and Hall sensor for identifying sentinel lymph nodes in breast cancer patients. Scientific Reports. 8(1). 1195–1195. 53 indexed citations
11.
Lee, Wonryung, Shingo Kobayashi, Yasutoshi Jimbo, et al.. (2018). Nonthrombogenic, stretchable, active multielectrode array for electroanatomical mapping. Science Advances. 4(10). eaau2426–eaau2426. 190 indexed citations
12.
Peek, Mirjam, Muneer Ahmed, Rose Baker, et al.. (2018). Feasibility study evaluating a magnetic marker in an ex-vivo porcine model. Journal of Magnetism and Magnetic Materials. 460. 334–339.
13.
Eguchi, Yawara, Seiji Ohtori, Masaki Sekino, & Shoogo Ueno. (2015). Effectiveness of magnetically aligned collagen for neural regeneration in vitro and in vivo. Bioelectromagnetics. 36(3). 233–243. 19 indexed citations
14.
Sekino, Masaki, Hiroyuki Ohsaki, Keita Yamamoto, et al.. (2014). Eccentric figure‐eight coils for transcranial magnetic stimulation. Bioelectromagnetics. 36(1). 55–65. 14 indexed citations
15.
Fuketa, Hiroshi, Kazuaki Yoshioka, Yuzo Shinozuka, et al.. (2013). 1µm-thickness 64-channel surface electromyogram measurement sheet with 2V organic transistors for prosthetic hand control. 104–105. 20 indexed citations
16.
Sekino, Masaki, Yoshifumi Abe, Hiroyuki Ohsaki, et al.. (2013). Involvement of glial P2Y1 receptors in cognitive deficit after focal cerebral stroke in a rodent model. Journal of Neuroinflammation. 10(1). 95–95. 55 indexed citations
17.
Kato, Takuya, et al.. (2011). Fabrication of a prototype magnetic stimulator equipped with eccentric spiral coils. PubMed. 2011. 1985–1988. 8 indexed citations
18.
Kaida, Sachiko, Horacio Cabral, Michiaki Kumagai, et al.. (2010). Visible Drug Delivery by Supramolecular Nanocarriers Directing to Single-Platformed Diagnosis and Therapy of Pancreatic Tumor Model. Cancer Research. 70(18). 7031–7041. 101 indexed citations
19.
Kotegawa, Hisashi, Y. Hara, Masaki Sekino, et al.. (2009). 77Se-NMR study of Co-substituted FeSe. Physica C Superconductivity. 470. S426–S427. 6 indexed citations
20.
Sekino, Masaki, Kazuya Yamaguchi, Norio Iriguchi, & Shoogo Ueno. (2004). Conductivity Imaging of the Brain Using Diffusion Tensor Magnetic Resonance Imaging. Journal of the Magnetics Society of Japan. 28(4). 649–656.

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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