Hiroki Ueda

5.2k citations
27 papers · 895 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Aging top 10%

Papers in

    • RNA modifications and cancer 8
    • RNA regulation and disease 7
    • RNA Research and Splicing 6
    • RNA and protein synthesis mechanisms 5
    • Epigenetics and DNA Methylation 2
    • Cancer-related molecular mechanisms research 3
    • Cancer Genomics and Diagnostics 2

Hiroki Ueda

26 papers receiving 883 citations

Peers

Hiroki Ueda
Comparison fields: 5 of 76
  • Cancer Research 157
  • Aging 20
  • Molecular Biology 726
  • Business and International Management 17
  • Biomaterials 42
Replace Detu Zhu with:
Detu Zhu China
Julian Boutin France
José L. Gutiérrez Chile
Sarah A. Compton United States
Rongxue Peng China
Katie Sanders United States
Elodie Dardillac France
Diana D. Kang United States
Xiang Ao China
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Citations per field
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Citations per year

Countries citing papers authored by Hiroki Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007183
2 2010162
3 2020159
4 2014118
5 199975
6 201570
7 202022
8 199217
9 200715
10 201912
11 201811
12 20079
13 20247
14 20235
15 20234
16 20204
17 20154
18
Waterhouse-friderichsen syndrome caused by invasive haemophilus influenzae type B infection in a previously healthy young man.
20104
19 20213
20 20203

About Hiroki Ueda

Hiroki Ueda is a scholar working on Molecular Biology, Cancer Research, Surgery, Epidemiology and Biotechnology, having authored 27 papers that have together received 895 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), RNA regulation and disease (7 papers), RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (5 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Genomics and Diagnostics (2 papers), Phase Equilibria and Thermodynamics (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (157 citations), Aging (20 citations), Molecular Biology (726 citations), Business and International Management (17 citations) and Biomaterials (42 citations). Hiroki Ueda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tsutomu Suzuki, Masayuki Sakurai, Takanori Yano, Hitomi Kawabata, Shunpei Okada, Takeo Suzuki, Kenjyo Miyauchi, Yuriko Sakaguchi, Kenji Tatsuno and Hiroyuki Aburatani. Their work appears in journals such as Nature Biotechnology, Cancer Science, Organic & Biomolecular Chemistry, Neuro-Oncology and Briefings in Bioinformatics.

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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