Akemichi Ueno

708 citations
36 papers · 622 · h-index 13

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • RNA Interference and Gene Delivery
    • RNA modifications and cancer
  • Oral Surgery top 10%

Papers in

Akemichi Ueno

36 papers receiving 610 citations

Peers

Akemichi Ueno
Comparison fields: 5 of 91
  • Molecular Biology 363
  • Oral Surgery 32
  • Rheumatology 54
  • Urology 18
  • Cell Biology 50
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Citations per field
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Citations per year

Countries citing papers authored by Akemichi Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Akemichi Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199182
2 201554
3 199153
4 199950
5 199842
6
Emergence of differentiated subclones from a human salivary adenocarcinoma cell clone in culture after treatment with sodium butyrate.
198638
7
Intermediate-sized filaments and specific markers in a human salivary gland adenocarcinoma cell line and its nude mouse tumors.
198538
8 200135
9 200634
10
Expression of epidermal growth factor and transforming growth factor-beta in human salivary gland adenocarcinoma cell line.
198533
11 200024
12 199815
13 200414
14 198711
15 200611
16 199611
17 199710
18 19879
19 19858
20 20107

About Akemichi Ueno

Akemichi Ueno is a scholar working on Molecular Biology, Physiology, Rheumatology, Surgery and Biochemistry, having authored 36 papers that have together received 622 indexed citations. Recurring topics across this work include Bone and Dental Protein Studies (5 papers), Adipose Tissue and Metabolism (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Herpesvirus Infections and Treatments (3 papers), Bone Tissue Engineering Materials (3 papers), Muscle metabolism and nutrition (2 papers), Endodontics and Root Canal Treatments (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (363 citations), Oral Surgery (32 citations), Rheumatology (54 citations), Urology (18 citations) and Cell Biology (50 citations). Akemichi Ueno has collaborated with scholars based in Japan, Somalia and United States. Frequent co-authors include Hideo Inoue, Kwanghee Baek, Ho Sup Yoon, Kan Agarwal, Ken‐ichi Miyamoto, Keiko Miyoshi, Masayuki Azuma, Tetsuo Yanagawa, Yoshiaki Yura and Ken Arae. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Journal of Biochemistry, Biological and Pharmaceutical Bulletin, FEBS Letters and Journal of Cellular Physiology.

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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