Yuko Imamura

904 citations
37 papers · 659 · h-index 13

Impact in

  • Virology top 10%
    • HIV Research and Treatment
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Genomics and Chromatin Dynamics 6
    • Epigenetics and DNA Methylation 6
    • RNA modifications and cancer 3
    • Cancer-related Molecular Pathways 3
    • Cutaneous Melanoma Detection and Management 2

Yuko Imamura

35 papers receiving 650 citations

Peers

Yuko Imamura
Comparison fields: 5 of 92
  • Virology 42
  • Cell Biology 115
  • Aging 11
  • Epidemiology 203
  • Molecular Biology 341
Replace Ruey‐Chyi Su with:
Ruey‐Chyi Su Canada
Christina Begon‐Pescia France
Hongyan Guo United States
Masazumi Terashima Japan
Gregory A. Peters United States
Ingeborg Režuchová Slovakia
Eva Pérez-Jiménez Spain
Lindsay A. Pirrit United Kingdom
Laura Timares United States
Henry Chang United States
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Citations per field
00.5×4.3×
Ruey‐Chyi Su · 1×
Citations per year

Countries citing papers authored by Yuko Imamura

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Imamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004166
2 200756
3 200854
4 201644
5 201740
6 200535
7 200023
8 199722
9 201720
10 199719
11 201619
12 201516
13 201516
14 201512
15 202011
16 200310
17 199310
18 201410
19 20059
20 20189

About Yuko Imamura

Yuko Imamura is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Immunology, having authored 37 papers that have together received 659 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (6 papers), Immune Cell Function and Interaction (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (3 papers), Cancer and Skin Lesions (3 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Virology (42 citations), Cell Biology (115 citations), Aging (11 citations), Epidemiology (203 citations) and Molecular Biology (341 citations). Yuko Imamura has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Yoshinori Ohsumi, Takeshi Noda, Masato Umeda, Yoshinobu Ichimura, Kazuo Emoto, Toshihide Akasaka, Yasuka L. Yamaguchi, Mika Yoshimura, Takashi Ishida and Shinichiro Sawa. Their work appears in journals such as The Journal of Dermatology, PLoS ONE, Scientific Reports, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and AIDS Research and Human Retroviruses.

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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