Koichi Tokuda

234 papers receiving 5.8k citations

Peers

Koichi Tokuda
Comparison fields: 5 of 142
  • Electrochemistry 3.5k
  • Bioengineering 1.9k
  • Polymers and Plastics 1.4k
  • Endocrinology 433
  • Molecular Medicine 344
Replace Hiroshi Yoneyama with:
Hiroshi Yoneyama Japan
Henan Li China
J.A. Harrison United Kingdom
Surinder Pal Singh India
Cesar Alfredo Barbero Argentina
José Luis Vázquez-Ibar Spain
Heyou Han China
Katherine B. Holt United Kingdom
Tao Chen China
Fei Wang China
Koichi Tokuda relative to Hiroshi Yoneyama Japan Hiroshi Yoneyama's profile →
Citations per field
00.5×1.5×1.8×
Hiroshi Yoneyama · 1×
Citations per year

Countries citing papers authored by Koichi Tokuda

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Tokuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Koichi Tokuda, 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 Koichi Tokuda Line = papers co-authored together Koichi Tokuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 239 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984267
2 1978218
3 2001202
4 1983164
5 1979142
6 1985140
7 2004138
8 2004136
9 1994135
10 1979117
11 200398
12 199696
13 198190
14 198287
15 198487
16 198580
17 198578
18 198675
19 199375
20 199172

About Koichi Tokuda

Koichi Tokuda is a scholar working on Electrochemistry, Bioengineering, Polymers and Plastics, Electrical and Electronic Engineering and Molecular Medicine, having authored 239 papers that have together received 6.2k indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (126 papers), Analytical Chemistry and Sensors (64 papers), Electrochemical sensors and biosensors (48 papers), Conducting polymers and applications (35 papers), Molecular Junctions and Nanostructures (23 papers), Antibiotic Resistance in Bacteria (18 papers), Electrocatalysts for Energy Conversion (14 papers) and Antimicrobial Resistance in Staphylococcus (13 papers). The work is most often cited by research in Electrochemistry (3.5k citations), Bioengineering (1.9k citations), Polymers and Plastics (1.4k citations), Endocrinology (433 citations) and Molecular Medicine (344 citations). Koichi Tokuda has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Hiroaki Matsuda, Koichi Aoki, Takeo Ohsaka, Fusao Kitamura, Janet G. Osteryoung, Takeyoshi Okajima, Junichiro Nishi, C. Retna Raj, Katsuya Honda and Yoshifumi Kawano. Their work appears in journals such as Journal of Electroanalytical Chemistry, Electrochimica Acta, Chemistry Letters, Journal of Applied Electrochemistry and Analytical 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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