Toru Onishi

995 total citations
31 papers, 804 citations indexed

About

Toru Onishi is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Epidemiology. According to data from OpenAlex, Toru Onishi has authored 31 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Electrical and Electronic Engineering and 4 papers in Epidemiology. Recurrent topics in Toru Onishi's work include Advancements in Semiconductor Devices and Circuit Design (7 papers), Silicon Carbide Semiconductor Technologies (7 papers) and Semiconductor materials and devices (7 papers). Toru Onishi is often cited by papers focused on Advancements in Semiconductor Devices and Circuit Design (7 papers), Silicon Carbide Semiconductor Technologies (7 papers) and Semiconductor materials and devices (7 papers). Toru Onishi collaborates with scholars based in Japan, Switzerland and United Kingdom. Toru Onishi's co-authors include Kenro Tokuhiro, Eiji Nagamori, Haruo Takahashi, Nobuhiro Ishida, Satoshi Saitoh, Katsuhiko Kitamoto, Kazuhiro Nouso, Toshihiro Higashi, Yasushi Shiratori and Ryoichi Okamoto and has published in prestigious journals such as Applied and Environmental Microbiology, Carbohydrate Polymers and British Journal of Cancer.

In The Last Decade

Toru Onishi

31 papers receiving 780 citations

Peers

Toru Onishi
Comparison fields: 5 of 90
  • Molecular Biology 477
  • Biomedical Engineering 254
  • Epidemiology 115
  • Hepatology 107
  • Biomaterials 72
Replace Yixin He with:
Yixin He China
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Chuying Huang China
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Yixin He China View profile →
Citations per field, relative to Toru Onishi
Toru Onishi · 1×
Citations per year, relative to Toru Onishi
Toru Onishi · 1×

Countries citing papers authored by Toru Onishi

Since Specialization
Citations

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

Fields of papers citing papers by Toru Onishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Onishi

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Onishi. A scholar is included among the top collaborators of Toru Onishi 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 Onishi. Toru Onishi 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
# Work Indexed citations
1 10
2 5
3 22
4 8
5
[Clinical efficacy of travoprost-timolol fixed combination on ocular hypotensive agents and ocular surface agents in Japanese glaucoma patients].
2
6 77
7 1
8
[Case report of asymptomatic arteriovenous malformation (AVM) of the pancreas; diagnostic advantage of three-dimensional computed tomography].
4
9 30
10 10
11 59
12 76
13 88
14 15
15 2
16 107
17 37
18 40
19
[Immunohistochemical study of PCNA, EGFR, c-erbB-2 and p53 in carcinomas of large intestine].
2
20 5

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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