Toru Utsunomiya

162 total papers · 983 total citations
84 papers, 761 citations indexed

About

Toru Utsunomiya is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Toru Utsunomiya has authored 84 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 26 papers in Atomic and Molecular Physics, and Optics and 24 papers in Biomedical Engineering. Recurrent topics in Toru Utsunomiya's work include Force Microscopy Techniques and Applications (24 papers), Molecular Junctions and Nanostructures (22 papers) and Electrochemical Analysis and Applications (15 papers). Toru Utsunomiya is often cited by papers focused on Force Microscopy Techniques and Applications (24 papers), Molecular Junctions and Nanostructures (22 papers) and Electrochemical Analysis and Applications (15 papers). Toru Utsunomiya collaborates with scholars based in Japan, United States and Egypt. Toru Utsunomiya's co-authors include Hiroyuki Sugimura, Takashi Ichii, Yudi Tu, Yasuyuki Yokota, Kenichi Fukui, Ahmed I. A. Soliman, Mitsuo Shimada, Om P. Khatri, Toshiaki Enoki and Thomas Wandlowski and has published in prestigious journals such as Journal of Clinical Oncology, ACS Nano and Applied Physics Letters.

In The Last Decade

Toru Utsunomiya

80 papers receiving 750 citations

Author Peers

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

Author Last Decade Papers Cites
Toru Utsunomiya 291 226 205 146 118 84 761
C. Mathieu 209 0.7× 269 1.2× 233 1.1× 130 0.9× 45 0.4× 47 692
S. Sam 469 1.6× 312 1.4× 283 1.4× 67 0.5× 76 0.6× 60 887
David Mendez Soares 485 1.7× 264 1.2× 209 1.0× 132 0.9× 189 1.6× 54 759
Yan Zhu 213 0.7× 352 1.6× 167 0.8× 49 0.3× 38 0.3× 40 724
Walter Giurlani 431 1.5× 325 1.4× 106 0.5× 73 0.5× 117 1.0× 74 822
A. Caprani 202 0.7× 270 1.2× 253 1.2× 59 0.4× 177 1.5× 63 855
Mădălina Ciobanu 219 0.8× 128 0.6× 211 1.0× 43 0.3× 150 1.3× 40 890
Jae-Woo Kim 299 1.0× 411 1.8× 219 1.1× 71 0.5× 62 0.5× 72 876
Alfredo C. Peterlevitz 330 1.1× 469 2.1× 158 0.8× 71 0.5× 49 0.4× 62 857
Jingjing Chen 299 1.0× 454 2.0× 112 0.5× 173 1.2× 28 0.2× 67 820

Countries citing papers authored by Toru Utsunomiya

Since Specialization
Citations

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

Fields of papers citing papers by Toru Utsunomiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Utsunomiya

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