Ryo Ukekawa

458 citations
7 papers · 339 · h-index 5

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • RNA Interference and Gene Delivery
    • RNA regulation and disease
    • Circular RNAs in diseases
    • Nuclear Structure and Function

Papers in

    • RNA Interference and Gene Delivery 3
    • Genomics and Chromatin Dynamics 2
    • Nuclear Structure and Function 2
    • Ubiquitin and proteasome pathways 1
    • Retinoids in leukemia and cellular processes 1

Ryo Ukekawa

7 papers receiving 335 citations

Peers

Ryo Ukekawa
Comparison fields: 5 of 52
  • Cancer Research 219
  • Molecular Biology 273
  • Aging 5
  • Physiology 19
  • Plant Science 24
Replace Gabrielle Deschamps-Francoeur with:
Gabrielle Deschamps-Francoeur Canada
Taisia Polidori Switzerland
Zhen Pan China
Cristiana Bersaglieri Switzerland
Evdoxia Karadoulama Denmark
Ryan Golden United States
Sara C. Cloutier United States
Francesco Ghini Italy
Annabelle Dold Germany
Samir Adhikari United States
Ryo Ukekawa relative to Gabrielle Deschamps-Francoeur Canada Gabrielle Deschamps-Francoeur's profile →
Citations per field
00.5×
Gabrielle Deschamps-Francoeur · 1×
Citations per year

Countries citing papers authored by Ryo Ukekawa

Since Specialization
Citations

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

Fields of papers citing papers by Ryo Ukekawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Ryo Ukekawa, 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 Ryo Ukekawa Line = papers co-authored together Ryo Ukekawa links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2010278
2 200717
3 200414
4 200414
5 201612
6 20242
7 20112

About Ryo Ukekawa

Ryo Ukekawa is a scholar working on Molecular Biology, Dermatology, Health, Toxicology and Mutagenesis, Epidemiology and Physiology, having authored 7 papers that have together received 339 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Genomics and Chromatin Dynamics (2 papers), Nuclear Structure and Function (2 papers), Ubiquitin and proteasome pathways (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Liver Disease and Transplantation (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Cancer Research (219 citations), Molecular Biology (273 citations), Aging (5 citations), Physiology (19 citations) and Plant Science (24 citations). Ryo Ukekawa has collaborated with scholars based in Japan and China. Frequent co-authors include Yoshinari Ando, A. Maxwell Burroughs, Tsutomu Kurokawa, Yasuhiro Tomaru, Yoshihide Hayashizaki, Carsten O. Daub, Takahiro Nishibu, Harukazu Suzuki, Michiel de Hoon and Dai Ayusawa. Their work appears in journals such as Biochemical and Biophysical Research Communications, Bioscience Biotechnology and Biochemistry, FEBS Open Bio, Genes to Cells and Genome 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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