Masaki Torimura

2.3k citations
64 papers · 1.8k · h-index 24

Impact in

Papers in

Masaki Torimura

61 papers receiving 1.8k citations

Peers

Masaki Torimura
Comparison fields: 5 of 109
  • Electrochemistry 223
  • Clinical Biochemistry 179
  • Bioengineering 126
  • Cancer Research 235
  • Molecular Biology 996
Replace W. John Ingledew with:
W. John Ingledew United Kingdom
Guoping Zhu China
Juan C. Vidal Spain
David S. Wunschel United States
Serena Laschi Italy
Morten J. Bjerrum Denmark
Margaret V. Merritt United States
Cheri M. Ackerman United States
Keizo Takeshita Japan
Philip D. Bragg Canada
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Citations per field
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Citations per year

Countries citing papers authored by Masaki Torimura

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Torimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Masaki Torimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masaki Torimura Line = papers co-authored together Masaki Torimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001303
2 2013141
3 200796
4 199494
5 200783
6 201468
7 200163
8 201358
9 200653
10 199947
11 201247
12 199945
13 201244
14 200041
15 200739
16 201338
17 201337
18 201537
19 200237
20 201732

About Masaki Torimura

Masaki Torimura is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Electrochemistry, Biomedical Engineering and Bioengineering, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (15 papers), Electrochemical sensors and biosensors (15 papers), Analytical Chemistry and Sensors (12 papers), Bacterial Identification and Susceptibility Testing (9 papers), Genomics and Phylogenetic Studies (8 papers), Biosensors and Analytical Detection (7 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Advanced biosensing and bioanalysis techniques (7 papers). The work is most often cited by research in Electrochemistry (223 citations), Clinical Biochemistry (179 citations), Bioengineering (126 citations), Cancer Research (235 citations) and Molecular Biology (996 citations). Masaki Torimura has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Hidenori Tani, Kenji Kano, Hiroaki Tao, Tokuji Ikeda, Hiroaki Sato, Kazutaka YAMADA, Nobuyoshi Akimitsu, Takahiro Kanagawa, Shinya Kurata and Yoichi Kamagata. Their work appears in journals such as Journal of Electroanalytical Chemistry, Chemistry Letters, Analytical Chemistry, PLoS ONE and Bioconjugate Chemistry.

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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