Yuko Imamura

917 citations
37 papers · 667 · h-index 13

Impact in

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

Papers in

    • Epigenetics and DNA Methylation 6
    • Genomics and Chromatin Dynamics 6
    • RNA modifications and cancer 3
    • DNA Repair Mechanisms 2
    • Cancer-related Molecular Pathways 3

Yuko Imamura

36 papers receiving 658 citations

Peers

Yuko Imamura
Comparison fields: 5 of 84
  • Virology 34
  • Cell Biology 115
  • Epidemiology 196
  • Aging 11
  • Molecular Biology 330
Replace Mari Ohmura‐Hoshino with:
Mari Ohmura‐Hoshino Japan
Caroline Cheung United States
Victoria L. Crotzer United States
Masazumi Terashima Japan
Gregory A. Peters United States
Christina Begon‐Pescia France
Kristina Orešić United States
Chi‐Ju Chen Taiwan
Agustín Alconada Spain
Minoru Oshiro Japan
Yuko Imamura relative to Mari Ohmura‐Hoshino Japan Mari Ohmura‐Hoshino's profile →
Citations per field
00.5×3.7×
Mari Ohmura‐Hoshino · 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 2004167
2 200758
3 200855
4 201644
5 201741
6 200535
7 200023
8 199722
9 201720
10 201619
11 199719
12 201517
13 201516
14 201512
15 202011
16 200310
17 201410
18 199310
19 20189
20 20059

About Yuko Imamura

Yuko Imamura is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Epidemiology, having authored 37 papers that have together received 667 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (6 papers), Cancer and Skin Lesions (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (3 papers), Immune Cell Function and Interaction (3 papers), RNA modifications and cancer (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Virology (34 citations), Cell Biology (115 citations), Epidemiology (196 citations), Aging (11 citations) and Molecular Biology (330 citations). Yuko Imamura has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Yoshinori Ohsumi, Takeshi Noda, Yoshinobu Ichimura, Kazuo Emoto, Masato Umeda, Toshihide Akasaka, Yasuka L. Yamaguchi, Takashi Ishida, Mika Yoshimura and Shinichiro Sawa. Their work appears in journals such as The Journal of Dermatology, PLoS ONE, Scientific Reports, AIDS Research and Human Retroviruses and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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