Masayuki Nakao

2.6k total citations
182 papers, 1.9k citations indexed

About

Masayuki Nakao is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Masayuki Nakao has authored 182 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Biomedical Engineering, 54 papers in Electrical and Electronic Engineering and 47 papers in Mechanical Engineering. Recurrent topics in Masayuki Nakao's work include Nanofabrication and Lithography Techniques (25 papers), Advanced Surface Polishing Techniques (24 papers) and Neuroscience and Neural Engineering (20 papers). Masayuki Nakao is often cited by papers focused on Nanofabrication and Lithography Techniques (25 papers), Advanced Surface Polishing Techniques (24 papers) and Neuroscience and Neural Engineering (20 papers). Masayuki Nakao collaborates with scholars based in Japan, United States and Singapore. Masayuki Nakao's co-authors include Keisuke Nagato, Hirokazu Takahashi, Takeshi Ooi, Takehiko Kitamori, Manabu Tokeshi, Kimitaka Kaga, Tamao Odake, Kiichi Sato, Hiroko Kimura and Y. Hatamura and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Masayuki Nakao

166 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masayuki Nakao Japan	21	810	490	321	278	269	182	1.9k
Norihisa Miki Japan	26	1.5k 1.8×	683 1.4×	453 1.4×	129 0.5×	324 1.2×	229	2.3k
Jongwoo Lee United States	18	1.7k 2.1×	513 1.0×	324 1.0×	175 0.6×	296 1.1×	115	2.5k
Jing Qiu China	25	966 1.2×	603 1.2×	183 0.6×	311 1.1×	540 2.0×	152	2.4k
Benoît Charlot France	21	774 1.0×	610 1.2×	74 0.2×	288 1.0×	130 0.5×	70	1.6k
Ya Huang China	21	825 1.0×	378 0.8×	323 1.0×	228 0.8×	181 0.7×	63	1.4k
Jun Nakanishi Japan	34	1.7k 2.1×	461 0.9×	172 0.5×	520 1.9×	247 0.9×	123	3.7k
Subramanian Sundaram United States	19	1.1k 1.4×	381 0.8×	550 1.7×	166 0.6×	269 1.0×	43	1.7k
King Wai Chiu Lai Hong Kong	26	1.2k 1.4×	730 1.5×	112 0.3×	705 2.5×	128 0.5×	194	2.4k
Shuo Gao China	26	961 1.2×	506 1.0×	465 1.4×	112 0.4×	157 0.6×	164	2.0k

Countries citing papers authored by Masayuki Nakao

Since Specialization

Citations

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

Fields of papers citing papers by Masayuki Nakao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Nakao

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

All Works

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20 of 20 papers shown

Lutters, Eric, et al.. (2025). Ethics in manufacturing: a decision-making perspective. Procedia CIRP. 134. 1155–1160.

Chen, Liwei, et al.. (2024). Effect of laser welding strategy for reducing intermetallic compound formation and residual stress. Precision Engineering. 88. 415–427. 3 indexed citations

Liu, Ang, et al.. (2023). Explainable AI for customer segmentation in product development. CIRP Annals. 72(1). 89–92. 13 indexed citations

Yoshizaki, Reina & Masayuki Nakao. (2023). Ultrashort pulse laser processing of single crystalline diamond for efficient and smooth grooving with top-hat beam modulation. CIRP Annals. 72(1). 189–192. 2 indexed citations

Koizumi, K, et al.. (2023). Paving the Way for Memory Enhancement: Development and Examination of a Neurofeedback System Targeting the Medial Temporal Lobe. Biomedicines. 11(8). 2262–2262.

Ito, Yusuke, et al.. (2023). Multi-timescale observation of ultrashort pulse laser ablation of copper. Optics Communications. 537. 129462–129462. 3 indexed citations

Koizumi, K, et al.. (2023). Intracranial Neurofeedback Modulating Neural Activity in the Mesial Temporal Lobe During Memory Encoding: A Pilot Study. Applied Psychophysiology and Biofeedback. 48(4). 439–451. 1 indexed citations

Kometani, Reo, Masayuki Nakao, Hideaki Takata, et al.. (2014). Chromosome Interior Observation by Focused Ion Beam/Scanning Electron Microscopy (FIB/SEM) Using Ionic Liquid Technique. Microscopy and Microanalysis. 20(5). 1340–1347. 17 indexed citations

Nakao, Masayuki, et al.. (2010). Microscale pH gradient generation by electrolysis on a light-addressable planar electrode. Sensors and Actuators B Chemical. 149(1). 205–211. 36 indexed citations

10.

Tani, Toshiki, et al.. (2009). Voltage-sensitive-dye imaging of microstimulation-evoked neural activity through intracortical horizontal and callosal connections in cat visual cortex. Journal of Neural Engineering. 6(6). 66002–66002. 6 indexed citations

11.

Suzuki, Hideaki, et al.. (2007). Large area optical devices with glass-pressed/metal-embedded sub-wavelength grating. 59(6). 522–525. 1 indexed citations

12.

Takahashi, Hirokazu, Masayuki Nakao, & Kimitaka Kaga. (2007). Multiple neural origins of early auditory evoked potential of rat. Neuroscience. 148(4). 845–856. 8 indexed citations

13.

Takahashi, Hirokazu, et al.. (2005). Easy-to-Prepare Assembly Array of Tungsten Microelectrodes. IEEE Transactions on Biomedical Engineering. 52(5). 952–956. 17 indexed citations

14.

Nakao, Masayuki, et al.. (2005). Micro Thermocouple Array for Measuring Resin Temperature in an Injection Mold. Seimitsu kougakkaishi rombunshuu/Seimitsu kougakkaishi/Seimitsu Kougakkaishi rombunshuu. 71(10). 1255–1259. 1 indexed citations

15.

Takahashi, Hirokazu, Masayuki Nakao, & Kimitaka Kaga. (2005). Interfield differences in intensity and frequency representation of evoked potentials in rat auditory cortex. Hearing Research. 210(1-2). 9–23. 40 indexed citations

16.

Nakao, Masayuki. (2004). Reuse of Failure Knowledge. Nihon Kikai Gakkaishi/Journal of the Japan Society of Mechanical Engineers. 107(1025). 286–289.

17.

Miura, Hiroyuki, Daizo Okada, Hirofumi Ishihara, et al.. (2002). . 9(1). 68–70. 1 indexed citations

18.

Horie, H., Kazuhiro Yoshiuchi, Shinobu Nomura, et al.. (1996). The clinical application studies of Tokyo university egogram, second edition (TEG 2.0) - Comparison between controls and patients by TEG patterns and multivariate analysis. 36(4). 315–324. 1 indexed citations

19.

Ichiki, Katsunori, et al.. (1995). Fast Atom Beam (FAB) Processing with Separated Masks. IEICE Transactions on Electronics. 78(2). 174–179. 1 indexed citations

20.

Yoshiuchi, Kazuhiro, H. Horie, Shinobu Nomura, et al.. (1995). The usefulness in clinical application of Tokyo University Egogram, second edition (TEG 2.0) - Correlations to other psychological tests. 35(7). 561–567. 3 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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