Y. Imura

743 citations
12 papers · 614 · h-index 8

Impact in

Papers in

    • Antimicrobial Peptides and Activities 7
    • RNA Interference and Gene Delivery 2
    • Lipid Membrane Structure and Behavior 2
    • Biochemical and Structural Characterization 2

Y. Imura

12 papers receiving 602 citations

Peers

Y. Imura
Comparison fields: 5 of 66
  • Microbiology 416
  • Food Science 146
  • Molecular Biology 457
  • Immunology 91
  • Molecular Medicine 19
Replace Yong Hai Nan with:
Yong Hai Nan South Korea
Malak Pirtskhalava United States
Enea Sancho‐Vaello Spain
Karen G. N. Oshiro Brazil
Giulia Runti Italy
Zhanyi Yang China
Ziqing Jiang United States
Charles G. Starr United States
Ramesh Rathinakumar United States
Inês M. Torcato Portugal
Y. Imura relative to Yong Hai Nan South Korea Yong Hai Nan's profile →
Citations per field
00.5×
Yong Hai Nan · 1×
Citations per year

Countries citing papers authored by Y. Imura

Since Specialization
Citations

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

Fields of papers citing papers by Y. Imura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2007143
2 2004117
3 2009111
4 2008104
5 200849
6 200744
7 201126
8 202113
9 20133
10 20172
11 20141
12 20131

About Y. Imura

Y. Imura is a scholar working on Microbiology, Molecular Biology, Immunology, Food Science and Dermatology, having authored 12 papers that have together received 614 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (7 papers), Probiotics and Fermented Foods (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), RNA Interference and Gene Delivery (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Lipid Membrane Structure and Behavior (2 papers), Biochemical and Structural Characterization (2 papers) and Aquaculture disease management and microbiota (1 paper). The work is most often cited by research in Microbiology (416 citations), Food Science (146 citations), Molecular Biology (457 citations), Immunology (91 citations) and Molecular Medicine (19 citations). Y. Imura has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Katsumi Matsuzaki, Minoru Nishida, Yoshinobu Takakura, Yoshiyuki Ogawa, Takeshi Zendo, Jiro Nakayama, Kenji Sonomoto, Fuminori Yoneyama, Satoe Kobayashi and Yoshiaki Yano. Their work appears in journals such as Annals of the Rheumatic Diseases, Biochemistry, Antimicrobial Agents and Chemotherapy, Biophysical Journal and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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