Daisuke Asai

1.5k citations
86 papers · 1.1k · h-index 19

Impact in

Papers in

    • RNA Interference and Gene Delivery 14
    • Protein Kinase Regulation and GTPase Signaling 10
    • Receptor Mechanisms and Signaling 6
    • Virus-based gene therapy research 9
    • Estrogen and related hormone effects 5

Daisuke Asai

75 papers receiving 1.1k citations

Peers

Daisuke Asai
Comparison fields: 5 of 132
  • Biomaterials 193
  • Health, Toxicology and Mutagenesis 173
  • Molecular Medicine 59
  • Genetics 248
  • Hematology 91
Replace Yingying Zhang with:
Yingying Zhang China
Mohammad Hasan Sheikhha Iran
Tamás Mészáros Hungary
Kimberly A. Foster United States
P. K. Chaudhuri India
Jiyoung Shin South Korea
Manuchehr Abedi‐Valugerdi Sweden
Wanyi Zhang China
Masashi Ito Japan
Laura Conti Devirgiliis Italy
Daisuke Asai relative to Yingying Zhang China Yingying Zhang's profile →
Citations per field
00.5×3.9×
Yingying Zhang · 1×
Citations per year

Countries citing papers authored by Daisuke Asai

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Asai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999104
2 2012100
3 199978
4 200867
5 201348
6 200144
7 201241
8 201238
9 200836
10 201535
11 200930
12 201425
13 201824
14 200023
15 201521
16 201320
17 202320
18 201420
19 201719
20 201017

About Daisuke Asai

Daisuke Asai is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Hematology and Organic Chemistry, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (14 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Virus-based gene therapy research (9 papers), Acute Lymphoblastic Leukemia research (8 papers), Receptor Mechanisms and Signaling (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Acute Myeloid Leukemia Research (5 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Biomaterials (193 citations), Health, Toxicology and Mutagenesis (173 citations), Molecular Medicine (59 citations), Genetics (248 citations) and Hematology (91 citations). Daisuke Asai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Jeong‐Hun Kang, Riki Toita, Yoshiki Katayama, Hideki Nakashima, Ashutosh Chilkoti, Takeshi Mori, Mineo Takatsuki, Makoto Nakai, Yoshikuni Yakabe and Yasuyuki Shimohigashi. Their work appears in journals such as Amino Acids, Cancer Research, Journal of Pediatric Hematology/Oncology, Journal of Controlled Release and Genes Chromosomes and Cancer.

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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