Yuko Ueda

2.2k citations
102 papers · 1.7k · h-index 23

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing

Papers in

Yuko Ueda

95 papers receiving 1.7k citations

Peers

Yuko Ueda
Comparison fields: 5 of 131
  • Cancer Research 588
  • Molecular Biology 972
  • Electronic, Optical and Magnetic Materials 92
  • Oncology 124
  • Equine 7
Replace David J. Flint with:
David J. Flint United Kingdom
Sudhir Chandna India
Yanqi Zhang China
Sung Tae Kim South Korea
Francesca Villafiorita‐Monteleone Italy
Caroline Maake Switzerland
Shuyang Chen China
Lü Cheng China
Ge Chen China
Yuko Ueda relative to David J. Flint United Kingdom David J. Flint's profile →
Citations per field
00.5×1.5×2.3×
David J. Flint · 1×
Citations per year

Countries citing papers authored by Yuko Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017247
2 201698
3 201289
4 201788
5 201467
6 201465
7 200456
8 201449
9 198647
10 198645
11 201638
12 201438
13 199337
14 201236
15 198536
16 201935
17 201534
18 201932
19 201631
20 200631

About Yuko Ueda

Yuko Ueda is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Surgery, having authored 102 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), MicroRNA in disease regulation (10 papers), Gastric Cancer Management and Outcomes (9 papers), Chalcogenide Semiconductor Thin Films (7 papers), Cancer-related molecular mechanisms research (7 papers), Sexual function and dysfunction studies (5 papers), Pesticide Exposure and Toxicity (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (588 citations), Molecular Biology (972 citations), Electronic, Optical and Magnetic Materials (92 citations), Oncology (124 citations) and Equine (7 citations). Yuko Ueda has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Kazutake Tsujikawa, Kentaro Jingushi, Kaori Kitae, Hiroaki Hase, Kazutoshi Fujita, Norio Nonomura, Motohide Uemura, H. Negishi, Kazumasa Hirata and Kazuo Harada. Their work appears in journals such as Scientific Reports, Cancer Research, Chemical and Pharmaceutical Bulletin, Solid State Communications and Biochemical and Biophysical Research Communications.

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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