Yuka Ueda

861 citations
47 papers · 480 · h-index 15

Impact in

    • Neuroblastoma Research and Treatments
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics

Papers in

Yuka Ueda

43 papers receiving 464 citations

Peers

Yuka Ueda
Comparison fields: 5 of 72
  • Neurology 69
  • Cancer Research 61
  • Hepatology 30
  • Cardiology and Cardiovascular Medicine 70
  • Oncology 62
Replace Xi Jiang with:
Xi Jiang China
Jianlin Yin Australia
L. Jay Stallons United States
Jingjing Liu China
Weijin Fang China
Harrison M. Penrose United States
Zijing Zhu China
Chao Fan China
Wan Hee Yoo South Korea
Miaoxia Pan China
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Citations per field
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Citations per year

Countries citing papers authored by Yuka Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Yuka Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201055
2 201538
3 201329
4 201327
5 201126
6 201323
7 201621
8 201621
9 201621
10 201021
11 201418
12 201317
13 201717
14 201315
15 200314
16 199213
17 201412
18 20159
19
The genetic properties of Streptococcus pyogenes emm49 genotype strains recently emerged among severe invasive infections in Japan.
20049
20
[Cardiac dysfunction in female gene carriers of Duchenne muscular dystrophy].
19958

About Yuka Ueda

Yuka Ueda is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Epidemiology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 480 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Infective Endocarditis Diagnosis and Management (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Electron Spin Resonance Studies (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Streptococcal Infections and Treatments (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Advanced Polymer Synthesis and Characterization (2 papers). The work is most often cited by research in Neurology (69 citations), Cancer Research (61 citations), Hepatology (30 citations), Cardiology and Cardiovascular Medicine (70 citations) and Oncology (62 citations). Yuka Ueda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Eiso Hiyama, Takayuki Ise, Takashi Iwase, Sho Kurihara, Shusuke Yagi, Taijiro Sueda, Masashi Akaike, Masataka Sata, Masato Kojima and Takasumi Hattori. Their work appears in journals such as Journal of Pediatric Surgery, Circulation Journal, Pediatric Surgery International, European Heart Journal and Diabetology & Metabolic Syndrome.

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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