Nobuo Misawa

858 total citations
43 papers, 620 citations indexed

About

Nobuo Misawa is a scholar working on Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nobuo Misawa has authored 43 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 13 papers in Molecular Biology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nobuo Misawa's work include Nanopore and Nanochannel Transport Studies (12 papers), Neurobiology and Insect Physiology Research (11 papers) and Lipid Membrane Structure and Behavior (10 papers). Nobuo Misawa is often cited by papers focused on Nanopore and Nanochannel Transport Studies (12 papers), Neurobiology and Insect Physiology Research (11 papers) and Lipid Membrane Structure and Behavior (10 papers). Nobuo Misawa collaborates with scholars based in Japan, China and United Kingdom. Nobuo Misawa's co-authors include Shoji Takeuchi, Toshihisa Osaki, Ryohei Kanzaki, Hidefumi Mitsuno, Satoshi Fujii, Koki Kamiya, Ryugo Tero, Kazuaki Sawada, Tsuneo Urisu and Kazuhiro Takahashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters and Analytical Chemistry.

In The Last Decade

Nobuo Misawa

43 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nobuo Misawa Japan 15 356 261 147 124 103 43 620
Édith Pajot-Augy France 14 303 0.9× 296 1.1× 167 1.1× 297 2.4× 89 0.9× 21 731
Yanxia Hou France 19 694 1.9× 324 1.2× 105 0.7× 215 1.7× 310 3.0× 58 1.1k
Daesan Kim South Korea 10 264 0.7× 85 0.3× 68 0.5× 151 1.2× 69 0.7× 18 399
Melanie Larisika Austria 10 197 0.6× 116 0.4× 72 0.5× 71 0.6× 121 1.2× 11 392
Elena Tuccori United Kingdom 6 152 0.4× 90 0.3× 241 1.6× 102 0.8× 121 1.2× 7 519
Ciril Reiner‐Rozman Austria 12 288 0.8× 243 0.9× 49 0.3× 48 0.4× 237 2.3× 22 576
Eun Hae Oh South Korea 15 553 1.6× 146 0.6× 181 1.2× 352 2.8× 171 1.7× 20 790
Seon Namgung South Korea 11 351 1.0× 66 0.3× 74 0.5× 69 0.6× 131 1.3× 19 491
Heehong Yang South Korea 11 364 1.0× 123 0.5× 88 0.6× 206 1.7× 169 1.6× 13 550
Sefi Vernick Israel 11 146 0.4× 127 0.5× 44 0.3× 17 0.1× 129 1.3× 29 363

Countries citing papers authored by Nobuo Misawa

Since Specialization
Citations

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

Fields of papers citing papers by Nobuo Misawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuo Misawa

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuo Misawa. A scholar is included among the top collaborators of Nobuo Misawa 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 Nobuo Misawa. Nobuo Misawa 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.
2.
Sato, Junichi, et al.. (2019). Preparation of tethered-type supported lipid bilayer using water-soluble silane coupling agent. Japanese Journal of Applied Physics. 58(SI). SIID05–SIID05. 4 indexed citations
3.
Kamiya, Koki, Toshihisa Osaki, Ryuji Kawano, et al.. (2018). Electrophysiological measurement of ion channels on plasma/organelle membranes using an on-chip lipid bilayer system. Scientific Reports. 8(1). 17498–17498. 31 indexed citations
4.
Fujii, Satoshi, Nobuo Misawa, Koki Kamiya, Toshihisa Osaki, & Shoji Takeuchi. (2018). Breathable fabric meets a lipid bilayer system for rapid vapor detection. 276–277. 2 indexed citations
5.
Takahashi, Toshiaki, et al.. (2018). Surface stress sensor based on MEMS Fabry–Perot interferometer with high wavelength selectivity for label-free biosensing. Journal of Micromechanics and Microengineering. 28(5). 54002–54002. 17 indexed citations
6.
Nakamoto, Takamichi, et al.. (2017). Sensitivity Improvement by Applying Lock-In Technique to Fluorescent Instrumentation for Cell-Based Odor Sensor. Sensors and Materials. 65–65. 11 indexed citations
7.
Nakamoto, Takamichi, et al.. (2017). Development of Automated Flow Measurement System for Cell‐based Odor Sensor. Electronics and Communications in Japan. 100(9). 41–49. 4 indexed citations
8.
Fujii, Satoshi, Toshihisa Osaki, Yuya Morimoto, et al.. (2017). Pesticide vapor sensing using an aptamer, nanopore, and agarose gel on a chip. Lab on a Chip. 17(14). 2421–2425. 42 indexed citations
9.
Choi, Yong‐Joon, Kazuhiro Takahashi, Nobuo Misawa, et al.. (2017). Multi-wavelength fluorescence detection of submicromolar concentrations using a filter-free fluorescence sensor. Sensors and Actuators B Chemical. 256. 38–47. 17 indexed citations
10.
Nakamoto, Takamichi, et al.. (2016). Development of Automated Flow Measurement System for Cell-based Odor Sensor. IEEJ Transactions on Sensors and Micromachines. 136(7). 289–295. 2 indexed citations
11.
Mitsuno, Hidefumi, Nobuo Misawa, Shinya Yamahira, et al.. (2016). Cell-Based Odorant Sensor Array for Odor Discrimination Based on Insect Odorant Receptors. Journal of Chemical Ecology. 42(7). 716–724. 45 indexed citations
12.
Nakamoto, Takamichi, et al.. (2016). Lock-in Measurement Technique in Fluorescent Instrumentation System for Cell-based Odor Sensor. IEEJ Transactions on Sensors and Micromachines. 136(3). 83–89. 3 indexed citations
13.
Murakami, Yuji, et al.. (2014). FROG EGG-Array device integrated with fluidic channel and microelectrodes for chemical sensing. 318–321. 2 indexed citations
14.
Misawa, Nobuo, et al.. (2013). Cell array fluidic channel integrated with electrodes for cell-based multiple chemical sensing. 2451–2454. 2 indexed citations
15.
Takahashi, Kazuhiro, et al.. (2012). 4.2.5 A MEMS Based FabryPerot Protein Sensor with Reference Sensor. Proceedings IMCS 2012. 352–355. 2 indexed citations
16.
Takahashi, Kazuhiro, et al.. (2011). A LABEL-FREE PROTEIN SENSOR BASED ON MEMS FABRY-PEROT INTERFEROMETER INTEGRATED WITH SILICON PHOTODIODE. 1. 680–682. 3 indexed citations
17.
Misawa, Nobuo, Hidefumi Mitsuno, Ryohei Kanzaki, & Shoji Takeuchi. (2010). Highly sensitive and selective odorant sensor using living cells expressing insect olfactory receptors. Proceedings of the National Academy of Sciences. 107(35). 15340–15344. 84 indexed citations
18.
Arakawa, Taro, Nobuo Misawa, Ryugo Tero, et al.. (2007). Immobilization of protein molecules on step-controlled sapphire surfaces. Surface Science. 601(21). 4915–4921. 13 indexed citations
19.
Kim, Yong‐Hoon, Md. Mashiur Rahman, Zhenlong Zhang, et al.. (2006). Supported lipid bilayer formation by the giant vesicle fusion induced by vesicle–surface electrostatic attractive interaction. Chemical Physics Letters. 420(4-6). 569–573. 31 indexed citations
20.
Tero, Ryugo, et al.. (2005). Fabrication of avidin single molecular layer on silicon oxide surfaces and formation of tethered lipid bilayer membranes. e-Journal of Surface Science and Nanotechnology. 3. 237–243. 22 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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