Ryosuke Ueki

892 citations
29 papers · 718 · h-index 14

Impact in

    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • DNA and Nucleic Acid Chemistry
    • RNA and protein synthesis mechanisms
    • Protein Degradation and Inhibitors

Papers in

    • Advanced biosensing and bioanalysis techniques 17
    • RNA Interference and Gene Delivery 15
    • DNA and Nucleic Acid Chemistry 8
    • Fibroblast Growth Factor Research 3

Ryosuke Ueki

28 papers receiving 717 citations

Peers

Ryosuke Ueki
Comparison fields: 5 of 73
  • Molecular Biology 578
  • Hepatology 31
  • Biomaterials 42
  • Biomedical Engineering 121
  • Biophysics 15
Replace Kōichi Okumura with:
Kōichi Okumura Japan
Bingyun Sun Canada
Saswat Mohapatra India
Tatiana O. Abakumova Russia
Roman Zantl Germany
Yifei Du China
Mariya I. Meschaninova Russia
Reinis Danne Finland
Lingling Fan China
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Citations per field
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Citations per year

Countries citing papers authored by Ryosuke Ueki

Since Specialization
Citations

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

Fields of papers citing papers by Ryosuke Ueki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015112
2 2014101
3 201791
4 201155
5 202052
6 201950
7 201941
8 202331
9 201930
10 202123
11 201522
12 202115
13 201215
14 202114
15 202110
16 202510
17 20238
18 20117
19 20256
20 20214

About Ryosuke Ueki

Ryosuke Ueki is a scholar working on Molecular Biology, Organic Chemistry, Electrical and Electronic Engineering, Materials Chemistry and Computational Theory and Mathematics, having authored 29 papers that have together received 718 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (17 papers), RNA Interference and Gene Delivery (15 papers), DNA and Nucleic Acid Chemistry (8 papers), Molecular Junctions and Nanostructures (3 papers), Fibroblast Growth Factor Research (3 papers), Nanopore and Nanochannel Transport Studies (2 papers), Liver physiology and pathology (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (578 citations), Hepatology (31 citations), Biomaterials (42 citations), Biomedical Engineering (121 citations) and Biophysics (15 citations). Ryosuke Ueki has collaborated with scholars based in Japan, United States and Hong Kong. Frequent co-authors include Shinsuke Sando, Ayaka Ueki, Hiroshi Nonaka, Kou Okuro, Takuzo Aida, Fuminori Sugihara, Tetsuya Matsuda, Yohei Hayashi, Jingyue Li and Horacio Cabral. Their work appears in journals such as Journal of the American Chemical Society, Chemical Communications, ACS Nano, Angewandte Chemie International Edition and Chemical Science.

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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