Daisuke Suzuki

1.1k total citations
47 papers, 880 citations indexed

About

Daisuke Suzuki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Daisuke Suzuki has authored 47 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Biomedical Engineering. Recurrent topics in Daisuke Suzuki's work include Photoreceptor and optogenetics research (9 papers), Neuroscience and Neuropharmacology Research (5 papers) and Language, Metaphor, and Cognition (5 papers). Daisuke Suzuki is often cited by papers focused on Photoreceptor and optogenetics research (9 papers), Neuroscience and Neuropharmacology Research (5 papers) and Language, Metaphor, and Cognition (5 papers). Daisuke Suzuki collaborates with scholars based in Japan, United States and Switzerland. Daisuke Suzuki's co-authors include Michio Homma, Yuki Sudo, Toyonori Munakata, Shinji Takeoka, Yosuke Obata, Hideki Kandori, Kazuaki Ishihara, Takeshi Yasui, Muhammet Uyanik and Yuji Furutani and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Blood.

In The Last Decade

Daisuke Suzuki

46 papers receiving 870 citations

Peers

Daisuke Suzuki
Comparison fields: 5 of 121
  • Molecular Biology 394
  • Cellular and Molecular Neuroscience 231
  • Organic Chemistry 128
  • Genetics 94
  • Biomedical Engineering 75
Replace Maxwell Z. Wilson with:
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Liqiong Chen China
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Patricia M. Dijkman United Kingdom
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Maxwell Z. Wilson United States View profile →
Citations per field, relative to Daisuke Suzuki
Daisuke Suzuki · 1×
Citations per year, relative to Daisuke Suzuki
Daisuke Suzuki · 1×

Countries citing papers authored by Daisuke Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Suzuki. A scholar is included among the top collaborators of Daisuke Suzuki 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 Daisuke Suzuki. Daisuke Suzuki 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 1
2 3
3 4
4 6
5 8
6 48
7 5
8 2
9
Filtration Performance of Diesel Particulate Filter and Deposition Process of Carbon Particles
1
10 11
11 39
12 12
13 22
14 0
15 24
16 55
17 32
18 62
19 1
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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