Yuichi Konosu

34 total papers · 553 total citations
23 papers, 452 citations indexed

About

Yuichi Konosu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Polymers and Plastics. According to data from OpenAlex, Yuichi Konosu has authored 23 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 12 papers in Electrical and Electronic Engineering and 6 papers in Polymers and Plastics. Recurrent topics in Yuichi Konosu's work include Advanced Sensor and Energy Harvesting Materials (8 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Conducting polymers and applications (5 papers). Yuichi Konosu is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (8 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Conducting polymers and applications (5 papers). Yuichi Konosu collaborates with scholars based in Japan, United States and Austria. Yuichi Konosu's co-authors include Hidetoshi Matsumoto, Akihiko Tanioka, Mie Minagawa, Minoru Ashizawa, Shinji Imaizumi, Kazuma Tsuboi, Wei Lu, James M. Tour, Yutaka Yamagata and Kozo Inoue and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and ACS Applied Materials & Interfaces.

In The Last Decade

Yuichi Konosu

22 papers receiving 442 citations

Author Peers

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

Author Last Decade Papers Cites
Yuichi Konosu 222 203 141 132 100 23 452
Youchen Zhang 178 0.8× 118 0.6× 181 1.3× 125 0.9× 163 1.6× 29 550
Tomáš Trčka 295 1.3× 157 0.8× 93 0.7× 135 1.0× 94 0.9× 27 534
Dante Luís Chinaglia 253 1.1× 119 0.6× 99 0.7× 166 1.3× 101 1.0× 24 444
Jen‐Ming Yang 149 0.7× 148 0.7× 91 0.6× 127 1.0× 54 0.5× 18 435
Changlong Li 207 0.9× 128 0.6× 81 0.6× 103 0.8× 87 0.9× 30 443
Xiaolin Wang 301 1.4× 117 0.6× 64 0.5× 201 1.5× 145 1.4× 14 517
Iwona Karbownik 158 0.7× 87 0.4× 122 0.9× 138 1.0× 129 1.3× 30 472
Shuqiang Xiong 160 0.7× 136 0.7× 112 0.8× 138 1.0× 107 1.1× 17 477
Mostafa Youssefi 165 0.7× 109 0.5× 59 0.4× 166 1.3× 124 1.2× 31 433
Zheyi Meng 237 1.1× 155 0.8× 123 0.9× 93 0.7× 148 1.5× 30 547

Countries citing papers authored by Yuichi Konosu

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Konosu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Konosu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Konosu. A scholar is included among the top collaborators of Yuichi Konosu 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 Yuichi Konosu. Yuichi Konosu 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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