Satoshi Suzuki

1.5k citations
78 papers · 1.1k indexed · h-index 21
Topics
Enzyme Production and Characterization (8 papers)Peptidase Inhibition and Analysis (7 papers)Fungal and yeast genetics research (6 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaThe Journal of Immunology

In The Last Decade

Satoshi Suzuki

72 papers receiving 1.1k citations

Peers

Satoshi Suzuki
Comparison fields: 5 of 136
  • Molecular Biology 390
  • Plant Science 242
  • Biotechnology 107
  • Pharmacology 105
  • Oncology 94
Replace James D. Cavalcoli with:
James D. Cavalcoli United States
Hongbing Liu China
Jun Hyuck Lee South Korea
Kuan Li China
Anabel Marina Spain
Alexander V. Sorokin United States
Barış Ethem Süzek United States
Ana G. Cabado Spain
Kazuo Kobayashi Japan
Aya Satoh Japan
Satoshi Suzuki relative to James D. Cavalcoli United States James D. Cavalcoli's profile →
Citations per field
00.5×2.6×
James D. Cavalcoli · 1×
Citations per year

Countries citing papers authored by Satoshi Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Suzuki. A scholar is included among the top collaborators of Satoshi 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 Satoshi Suzuki. Satoshi 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
#WorkIndexed citations
1 15
2 0
3 4
4 15
5 12
6 2
7 8
8 2
9 6
10 5
11 6
12 16
13 6
14 15
15 4
16 1
17 23
18
Near infrared, visible spectral observations of meteor trains
0
19 33
20 1

About Satoshi Suzuki

Satoshi Suzuki is a scholar working on Biotechnology, Biochemistry and Oceanography, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (8 papers), Peptidase Inhibition and Analysis (7 papers) and Fungal and yeast genetics research (6 papers). The work is most often cited by research in Biotechnology (107 citations), Sensory Systems (41 citations) and Plant Science (242 citations). Satoshi Suzuki has collaborated with scholars based in Japan, United States and Slovakia. Frequent co-authors include Ken-Ichi Kusumoto, Yutaka Kashiwagi, John R. Martin, Susumu Kawamoto, Daisuke Hagiwara, Tohru Gonoi, Katsuhiko Kamei, Kazuyuki Aihara, Ryota Hattori and Yoshito Hirata. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.

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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