Shingo Dan

3.1k citations
96 papers · 2.5k · h-index 27

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 15
    • Phytochemical compounds biological activities 7
    • Ubiquitin and proteasome pathways 7
    • Cancer therapeutics and mechanisms 6
    • Protein Kinase Regulation and GTPase Signaling 5
    • Cocoa and Sweet Potato Agronomy 9

Shingo Dan

93 papers receiving 2.5k citations

Peers

Shingo Dan
Comparison fields: 5 of 114
  • Horticulture 84
  • Molecular Biology 1.4k
  • Cancer Research 281
  • Oncology 472
  • Hematology 187
Replace Anna K. Long with:
Anna K. Long United Kingdom
Marietta L. Harrison United States
J. Vázquez Spain
John G. Menke United States
Jacqueline Plowman United States
Robert A. Wild United States
Laurence Kraus‐Berthier France
Zhongyi Hu China
Pavel A. Savitsky United Kingdom
Giampaolo Manao Italy
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Citations per field
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Citations per year

Countries citing papers authored by Shingo Dan

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An integrated database of chemosensitivity to 55 anticancer drugs and gene expression profiles of 39 human cancer cell lines.
2002212
2 1999162
3 2000140
4 1998121
5 2018105
6 2010100
7 202092
8 201168
9 201065
10 200565
11 201657
12 201451
13 202147
14 201847
15 200843
16 201943
17 199842
18 201641
19 201540
20 200138

About Shingo Dan

Shingo Dan is a scholar working on Molecular Biology, Horticulture, Oncology, Biochemistry and Cell Biology, having authored 96 papers that have together received 2.5k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (15 papers), Cocoa and Sweet Potato Agronomy (9 papers), Traditional and Medicinal Uses of Annonaceae (9 papers), Phytochemical compounds biological activities (7 papers), Ubiquitin and proteasome pathways (7 papers), Microbial Natural Products and Biosynthesis (6 papers), Cancer therapeutics and mechanisms (6 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Horticulture (84 citations), Molecular Biology (1.4k citations), Cancer Research (281 citations), Oncology (472 citations) and Hematology (187 citations). Shingo Dan has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takao Yamori, Kanami Yamazaki, Takashi Tsuruo, Mikihiko Naito, Tetsuo Mashima, Mutsumi Okamura, Dexin Kong, Hiroyuki Seimiya, Hitoshi Zembutsu and Tatsuhiko Tsunoda. Their work appears in journals such as Cancer Science, Biological and Pharmaceutical Bulletin, Biochemical and Biophysical Research Communications, Bioorganic & Medicinal Chemistry and Cancer Research.

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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