Daisuke Maeda

3.2k total citations
123 papers, 2.6k citations indexed

About

Daisuke Maeda is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Daisuke Maeda has authored 123 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 24 papers in Biomedical Engineering and 17 papers in Molecular Biology. Recurrent topics in Daisuke Maeda's work include DNA Repair Mechanisms (11 papers), Advanced MEMS and NEMS Technologies (8 papers) and Mechanical and Optical Resonators (7 papers). Daisuke Maeda is often cited by papers focused on DNA Repair Mechanisms (11 papers), Advanced MEMS and NEMS Technologies (8 papers) and Mechanical and Optical Resonators (7 papers). Daisuke Maeda collaborates with scholars based in Japan, United States and Australia. Daisuke Maeda's co-authors include Masayuki Seki, Takemi Enomoto, Srinivasa M. Srinivasula, Qi Xiao, Ken‐ichi Fujita, Tatsuro Irimura, Hirotatsu Kojima, Yasunobu Hirata, Yasuyuki Imai and Kazuya Kikuchi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Daisuke Maeda

106 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisuke Maeda Japan 27 966 335 281 253 252 123 2.6k
Chia‐Cheng Chang United States 33 2.0k 2.1× 171 0.5× 404 1.4× 202 0.8× 179 0.7× 128 4.0k
Kae Nakamura Japan 38 1.4k 1.4× 1.1k 3.4× 333 1.2× 196 0.8× 257 1.0× 102 4.6k
Yusuke Yoshida Japan 24 570 0.6× 231 0.7× 95 0.3× 84 0.3× 272 1.1× 145 1.9k
Hyunsung Park South Korea 31 1.3k 1.4× 571 1.7× 234 0.8× 303 1.2× 227 0.9× 100 3.7k
Thomas Neumann Germany 29 826 0.9× 107 0.3× 248 0.9× 350 1.4× 91 0.4× 97 2.6k
Makoto Aihara Japan 45 2.0k 2.1× 255 0.8× 155 0.6× 294 1.2× 163 0.6× 380 6.8k
Lili Cheng China 28 1.2k 1.3× 250 0.7× 410 1.5× 201 0.8× 128 0.5× 74 2.8k
Yan Chen China 33 790 0.8× 242 0.7× 151 0.5× 95 0.4× 339 1.3× 181 3.1k
Kwanghee Kim United States 30 1.9k 1.9× 596 1.8× 762 2.7× 205 0.8× 679 2.7× 104 5.3k

Countries citing papers authored by Daisuke Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Maeda. A scholar is included among the top collaborators of Daisuke Maeda 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 Daisuke Maeda. Daisuke Maeda 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.
Maeda, Daisuke, et al.. (2023). Fusion of Vision Deep-Learning Person Detection and Radio Beacon Ranging for Identifying and Locating Factory Workers. IEEE Sensors Letters. 7(5). 1–4. 1 indexed citations
2.
Yamashita, Norio, et al.. (2022). Efficient 3D observation of steel microstructure using serial sectioning with precision cutting and on-site etching. Precision Engineering. 75. 37–45. 6 indexed citations
3.
Nakao, Noriya, et al.. (2020). Torque Ripple Suppression Control for PMSMs using Feedforward Compensation and Online Parameter Estimation. IEEJ Transactions on Industry Applications. 141(1). 18–27.
5.
Giner, J., et al.. (2018). MEMS Gyroscope With Concentrated Springs Suspensions Demonstrating Single Digit Frequency Split and Temperature Robustness. Journal of Microelectromechanical Systems. 28(1). 25–35. 34 indexed citations
6.
Maeda, Daisuke, et al.. (2017). The Effect of Nickel and Platinum Catalysis on Endothermic Fuel for Regenerative Cooling System. JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES. 65(2). 41–46.
7.
Weyemi, Urbain, Christophe E. Redon, Daisuke Maeda, et al.. (2016). The histone variant H2A.X is a regulator of the epithelial–mesenchymal transition. Nature Communications. 7(1). 10711–10711. 61 indexed citations
8.
Maeda, Daisuke, et al.. (2014). A study on transmission delay improvement over inter-BS network in eICIC based 3D cell structure. 113(456). 121–126. 1 indexed citations
9.
Sakamoto, Kiyoshi, et al.. (2013). Robust Maximum Torque Control Technique for Sensorless Permanent Magnet Synchronous Motor Drives. IEEJ Transactions on Industry Applications. 133(12). 1128–1138. 4 indexed citations
10.
Maeda, Daisuke, et al.. (2012). Extraction of Muscle Synergies in Hand-Force Control and Implementation to Musculoskeletal Robots. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 24(1). 536–544.
11.
Maeda, Daisuke, et al.. (2011). New clock generation techniques for synchronous sampling of 16-QAM RF signals. Asia-Pacific Microwave Conference. 1434–1437.
12.
Maeda, Daisuke, et al.. (2010). A Simplified Sensorless Vector Control Based on Average DC Bus Current for Fan Motor. IEEJ Transactions on Industry Applications. 130(11). 1233–1240. 4 indexed citations
13.
Maeda, Daisuke, et al.. (2010). 1P1-C03 Assist Device to Decrease Physical Burden of Agricultural Workers. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2010(0). _1P1–C03_1. 1 indexed citations
14.
Wada, Kojiro, et al.. (2010). A case of TIA due to traumatic internal carotid artery dissection diagnosed using carotid ultrasonography. 23(2-3). 120–123. 1 indexed citations
15.
Fujihara, Hisako, Hitoshi Ogino, Daisuke Maeda, et al.. (2009). Poly(ADP-ribose) Glycohydrolase Deficiency Sensitizes Mouse ES Cells to DNA Damaging Agents. Current Cancer Drug Targets. 9(8). 953–962. 27 indexed citations
16.
Maeda, Daisuke, Kanae Ashida, Svetlana A. Chechetka, et al.. (2006). Knockdown of an Arbuscular Mycorrhiza-inducible Phosphate Transporter Gene of Lotus japonicus Suppresses Mutualistic Symbiosis. Plant and Cell Physiology. 47(7). 807–817. 142 indexed citations
17.
Maeda, Daisuke & Manabu Iguchi. (2006). Bubble Attachment to Sliding Gate and Related Liquid Flow. Jikken rikigaku. 6(3). 308–314.
18.
Yamazaki, Takaharu, Yoshikazu Nakajima, Kazuomi Sugamoto, et al.. (2005). Development of Three-dimensional Kinematic Analysis System for Artificial Knee Implants Using X-ray Fluoroscopic Imaging. Japanese Journal of Radiological Technology. 61(1). 79–87. 5 indexed citations
19.
Kojima, Hirotatsu, Kazuya Kikuchi, Hiroshi Nagoshi, et al.. (1998). Direct evidence of nitric oxide production from bovine aortic endothelial cells using new fluorescence indicators: diaminofluoresceins. FEBS Letters. 427(2). 263–266. 343 indexed citations
20.
Maeda, Daisuke, et al.. (1994). 417. FCR system in Osaka University Hospital. Japanese Journal of Radiological Technology. 50(8). 1332–1332. 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.

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