Masashi Usa

57 total papers · 489 total citations
31 papers, 386 citations indexed

About

Masashi Usa is a scholar working on Physiology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Masashi Usa has authored 31 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Biomedical Engineering. Recurrent topics in Masashi Usa's work include Biofield Effects and Biophysics (12 papers), Optical Imaging and Spectroscopy Techniques (9 papers) and Photoreceptor and optogenetics research (6 papers). Masashi Usa is often cited by papers focused on Biofield Effects and Biophysics (12 papers), Optical Imaging and Spectroscopy Techniques (9 papers) and Photoreceptor and optogenetics research (6 papers). Masashi Usa collaborates with scholars based in Japan, United States and Poland. Masashi Usa's co-authors include Humio Inaba, B. Devaraj, Masaki Kobayashi, Masaki Kobayashi, Motohiro Takeda, Haruo Watanabe, T. Akatsuka, Kin Pui Chan, Masaki Kobayashi and Toshiyasu Amano and has published in prestigious journals such as Applied Physics Letters, Clinical Chemistry and Cancer Letters.

In The Last Decade

Masashi Usa

28 papers receiving 354 citations

Author Peers

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

Author Last Decade Papers Cites
Masashi Usa 237 114 99 83 82 31 386
Rosaria Grasso 128 0.5× 125 1.1× 124 1.3× 66 0.8× 37 0.5× 26 389
Marek Rác 137 0.6× 152 1.3× 42 0.4× 70 0.8× 26 0.3× 17 390
R. P. Bajpai 258 1.1× 60 0.5× 78 0.8× 63 0.8× 10 0.1× 32 385
Yahya Akyel 83 0.4× 37 0.3× 227 2.3× 18 0.2× 120 1.5× 20 364
Н. К. Чемерис 126 0.5× 64 0.6× 147 1.5× 31 0.4× 92 1.1× 47 361
Meina Yang 167 0.7× 175 1.5× 28 0.3× 17 0.2× 15 0.2× 37 376
Tianyi Dou 130 0.5× 128 1.1× 69 0.7× 17 0.2× 34 0.4× 24 342
A. B. Gapeyev 59 0.2× 62 0.5× 147 1.5× 18 0.2× 76 0.9× 40 347
В. Г. Сафронова 68 0.3× 141 1.2× 55 0.6× 23 0.3× 34 0.4× 45 374
Sreetama Basu 108 0.5× 145 1.3× 77 0.8× 81 1.0× 30 0.4× 19 428

Countries citing papers authored by Masashi Usa

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Usa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Usa

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