Daisuke Kaida

2.6k citations
28 papers · 2.0k · h-index 16

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Cancer-related gene regulation
    • Genomics and Chromatin Dynamics
    • RNA regulation and disease
    • Cancer-related molecular mechanisms research

Papers in

    • RNA Research and Splicing 24
    • RNA modifications and cancer 19
    • RNA and protein synthesis mechanisms 13
    • Ubiquitin and proteasome pathways 3
    • Fungal and yeast genetics research 2
    • Genomics and Chromatin Dynamics 2
    • Plant Reproductive Biology 1
    • Cancer-related Molecular Pathways 3

Daisuke Kaida

26 papers receiving 2.0k citations

Peers

Daisuke Kaida
Comparison fields: 5 of 73
  • Molecular Biology 1.8k
  • Cancer Research 190
  • Genetics 137
  • Aging 8
  • Cell Biology 72
Replace Haihong Shen with:
Haihong Shen South Korea
Guo-Liang Chew United States
Marie-Ève Beaulieu Spain
Hui Cao China
Paulo Guerreiro Portugal
Yoh-hei Takahashi United States
Sumaiyah K. Rehman United States
Ružica Bago Croatia
May Ann Lee Singapore
Astrid S. Clarke United States
Daisuke Kaida relative to Haihong Shen South Korea Haihong Shen's profile →
Citations per field
00.5×1.6×
Haihong Shen · 1×
Citations per year

Countries citing papers authored by Daisuke Kaida

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Kaida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007550
2 2010500
3 2012359
4 2010100
5 200279
6 201255
7 201650
8 199849
9 201539
10 201634
11 201634
12 200728
13 201521
14 200320
15 201419
16 201018
17 201512
18 202112
19 20157
20 20215

About Daisuke Kaida

Daisuke Kaida is a scholar working on Molecular Biology, Oncology, Genetics, Cell Biology and Insect Science, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (24 papers), RNA modifications and cancer (19 papers), RNA and protein synthesis mechanisms (13 papers), Cancer-related Molecular Pathways (3 papers), Ubiquitin and proteasome pathways (3 papers), Fungal and yeast genetics research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Plant Reproductive Biology (1 paper). The work is most often cited by research in Molecular Biology (1.8k citations), Cancer Research (190 citations), Genetics (137 citations), Aging (8 citations) and Cell Biology (72 citations). Daisuke Kaida has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Ihab Younis, Gideon Dreyfuss, Michael G. Berg, Larry N. Singh, Lili Wan, Minoru Yoshida, Mumtaz Kasim, Hidenori Nakajima, Ken Ishigami and Tokio Tani. Their work appears in journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences, Nature Chemical Biology, Molecular and Cellular Biology and The Journal of Antibiotics.

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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