Daisuke Sugiyama

4.3k citations
31 papers · 1.8k indexed · 1 hit paper · h-index 16
Topics
Immune Cell Function and Interaction (15 papers)Cancer Immunotherapy and Biomarkers (13 papers)Immunotherapy and Immune Responses (8 papers)

In The Last Decade

Daisuke Sugiyama

31 papers receiving 1.8k citations

Hit Papers

Anti-CCR4 mAb selectively depletes effector-type FoxP3+CD...20132026201720212013100200300400500

Peers

Daisuke Sugiyama
Comparison fields: 5 of 87
  • Immunology 1.1k
  • Oncology 826
  • Molecular Biology 380
  • Infectious Diseases 178
  • Pulmonary and Respiratory Medicine 131
Replace Jun Yamanouchi with:
Jun Yamanouchi Japan
Maki Nakayama United States
Tie Zheng Hou United Kingdom
Shui Cao China
Emily Smith United States
Jacqueline Benson United States
Matthew A. Burchill United States
Derese Getnet United States
Véronique Mateo France
Krishna Kadaveru United States
Daisuke Sugiyama relative to Jun Yamanouchi Japan Jun Yamanouchi's profile →
Citations per field
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Jun Yamanouchi · 1×
Citations per year

Countries citing papers authored by Daisuke Sugiyama

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Sugiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Sugiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Sugiyama. A scholar is included among the top collaborators of Daisuke Sugiyama 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 Sugiyama. Daisuke Sugiyama 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 10
2 8
3 2
4 6
5 3
6 1
7 34
8 4
9 29
10 26
11 1
12 7
13 69
14 87
15 30
16 153
17 262
18
Impact of Flushing Response on the Relationship between Alcohol Consumption and Gamma-glutamyl Transpeptidase: the KOBE study.
3
19 119
20 65

About Daisuke Sugiyama

Daisuke Sugiyama is a scholar working on Immunology, Oncology and Hematology, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (826 citations) and Hematology (121 citations). Daisuke Sugiyama has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Hiroyoshi Nishikawa, Shimon Sakaguchi, Yuka Maeda, Ichiro Katayama, Megumi Nishioka, Atsushi Tanemura, Eiichi Sato, Yasuo Fukumori, Yuzuru Kanakura and Sachiko Ezoe. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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