Daisuke Tokuda

566 citations
8 papers · 502 · h-index 8

Impact in

    • Analytical Chemistry and Chromatography
    • Mass Spectrometry Techniques and Applications
    • Advanced Proteomics Techniques and Applications
    • Chromatography in Natural Products

Papers in

Daisuke Tokuda

8 papers receiving 500 citations

Peers

Daisuke Tokuda
Comparison fields: 5 of 62
  • Spectroscopy 397
  • Analytical Chemistry 101
  • Biomedical Engineering 322
  • Filtration and Separation 12
  • Bioengineering 10
Replace С.М. Староверов with:
С.М. Староверов Russia
Steven M. Fields United States
T. C. Schunk United States
G. Stegeman Netherlands
F. Riedo Switzerland
Sergey M. Melnikov Germany
M.E. Van Kreveld Netherlands
Masanori Motokawa Japan
D. Berek Slovakia
Hisashi Nagayama Japan
Daisuke Tokuda relative to С.М. Староверов Russia С.М. Староверов's profile →
Citations per field
00.5×
С.М. Староверов · 1×
Citations per year

Countries citing papers authored by Daisuke Tokuda

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Tokuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Daisuke 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 Daisuke Tokuda Line = papers co-authored together Daisuke Tokuda links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2004117
2 2008110
3 200672
4 200672
5 200456
6 200547
7 200615
8 200513

About Daisuke Tokuda

Daisuke Tokuda is a scholar working on Spectroscopy, Biomedical Engineering, Materials Chemistry, Analytical Chemistry and Organic Chemistry, having authored 8 papers that have together received 502 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Chromatography in Natural Products (2 papers), Mesoporous Materials and Catalysis (2 papers), Block Copolymer Self-Assembly (1 paper), Spacecraft Design and Technology (1 paper), Surfactants and Colloidal Systems (1 paper) and Advanced Polymer Synthesis and Characterization (1 paper). The work is most often cited by research in Spectroscopy (397 citations), Analytical Chemistry (101 citations), Biomedical Engineering (322 citations), Filtration and Separation (12 citations) and Bioengineering (10 citations). Daisuke Tokuda has collaborated with scholars based in Japan and Germany. Frequent co-authors include Nobuo Tanaka, Tohru Ikegami, Hiroshi Kobayashi, Ken Hosoya, N. Ishizuka, Hiroshi Kimura, Takeshi Hara, Karin Cabrera, Hironobu Morisaka and Kanji Miyabe. Their work appears in journals such as Journal of Separation Science, Analytical Chemistry, Journal of Chromatography A, Journal of Polymer Science Part A Polymer Chemistry and Analytical Sciences.

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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