Yuya Nishio

26 total papers · 1.3k total citations
16 papers, 254 citations indexed

About

Yuya Nishio is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yuya Nishio has authored 16 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 8 papers in Electrical and Electronic Engineering and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yuya Nishio's work include Analog and Mixed-Signal Circuit Design (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers) and Neuroscience and Neural Engineering (4 papers). Yuya Nishio is often cited by papers focused on Analog and Mixed-Signal Circuit Design (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers) and Neuroscience and Neural Engineering (4 papers). Yuya Nishio collaborates with scholars based in United States, Japan and South Korea. Yuya Nishio's co-authors include Kiichi Niitsu, Atsuki Kobayashi, Zhenan Bao, Jeffrey B.‐H. Tok, Joonhwa Choi, Bao‐Nguyen T. Nguyen, Jaewon Kim, Kazuo Nakazato, JinKi Min and Samuel E. Root and has published in prestigious journals such as ACS Nano, Journal of Materials Chemistry A and IEEE Transactions on Electron Devices.

In The Last Decade

Yuya Nishio

14 papers receiving 251 citations

Hit Papers

A substrate-less nanomesh... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuya Nishio 188 116 60 40 38 16 254
Michael McKnight 211 1.1× 79 0.7× 52 0.9× 19 0.5× 43 1.1× 19 313
Junwoo Yea 282 1.5× 104 0.9× 80 1.3× 54 1.4× 76 2.0× 12 332
Kyumin Kang 205 1.1× 127 1.1× 58 1.0× 41 1.0× 92 2.4× 19 314
Kyubeen Kim 172 0.9× 80 0.7× 50 0.8× 74 1.9× 44 1.2× 10 244
Amir Servati 237 1.3× 72 0.6× 73 1.2× 16 0.4× 84 2.2× 17 310
Yunlong Zhao 185 1.0× 97 0.8× 68 1.1× 13 0.3× 39 1.0× 15 257
Young Joong Lee 197 1.0× 56 0.5× 53 0.9× 37 0.9× 63 1.7× 8 262
Tsz Hung Wong 257 1.4× 92 0.8× 107 1.8× 29 0.7× 127 3.3× 20 329
Radu Chirila 263 1.4× 154 1.3× 106 1.8× 49 1.2× 63 1.7× 14 319
Haseena Bashir Muhammad 258 1.4× 72 0.6× 115 1.9× 38 0.9× 38 1.0× 13 305

Countries citing papers authored by Yuya Nishio

Since Specialization
Citations

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

Fields of papers citing papers by Yuya Nishio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuya Nishio

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

All Works

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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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