Ayuko Kimura
Impact in
- Immunology top 10%
- Complement system in diseases
- Invertebrate Immune Response Mechanisms
- Aquaculture disease management and microbiota
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- Endoplasmic Reticulum Stress and Disease
Papers in
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- Glycosylation and Glycoproteins Research 4
- Ubiquitin and proteasome pathways 4
- Mechanisms of cancer metastasis 2
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- Invertebrate Immune Response Mechanisms 3
- Aquaculture disease management and microbiota 3
- Complement system in diseases 2
- Co-authors
- Masaru Nonaka (4 shared papers)Hisashi Hirano (12 shared papers)Yayoi Kimura (6 shared papers)Kazuho Ikeo (1 shared paper)Yu Kato (1 shared paper)Hiroyuki Kagawa (4 shared papers)Jun Nakabayashi (2 shared papers)Noriaki Arakawa (2 shared papers)
- Journals
- Journal of Proteomics (5 papers)Growth Factors (1 paper)Immunobiology (1 paper)Endocrinology (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- Japan
In The Last Decade
Ayuko Kimura
17 papers receiving 572 citations
Peers
Comparison fields: 5 of 85
- Immunology 296
- Cell Biology 93
- Hematology 49
- Aging 7
- Paleontology 25
Countries citing papers authored by Ayuko Kimura
This map shows the geographic impact of Ayuko Kimura'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 Ayuko Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayuko Kimura more than expected).
Fields of papers citing papers by Ayuko Kimura
This network shows the impact of papers produced by Ayuko Kimura. 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 Ayuko Kimura. The network helps show where Ayuko Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayuko Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 209 | |
| 2 | 2009 | 88 | |
| 3 | 2015 | 49 | |
| 4 | 2008 | 42 | |
| 5 | 2012 | 42 | |
| 6 | 2016 | 26 | |
| 7 | 2015 | 20 | |
| 8 | 2009 | 20 | |
| 9 | 2009 | 18 | |
| 10 | 2019 | 15 | |
| 11 | 2014 | 15 | |
| 12 | 2021 | 9 | |
| 13 | 2017 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 2 |
About Ayuko Kimura
Ayuko Kimura is a scholar working on Molecular Biology, Immunology, Cell Biology, Physiology and Pathology and Forensic Medicine, having authored 17 papers that have together received 578 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Ubiquitin and proteasome pathways (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Aquaculture disease management and microbiota (3 papers), Peptidase Inhibition and Analysis (2 papers), Mechanisms of cancer metastasis (2 papers), Complement system in diseases (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Immunology (296 citations), Cell Biology (93 citations), Hematology (49 citations), Aging (7 citations) and Paleontology (25 citations). Ayuko Kimura has collaborated with scholars based in Japan. Frequent co-authors include Masaru Nonaka, Hisashi Hirano, Yayoi Kimura, Kazuho Ikeo, Yu Kato, Hiroyuki Kagawa, Jun Nakabayashi, Noriaki Arakawa, Yoshio Goshima and Haruko Nakamura. Their work appears in journals such as Journal of Proteomics, Growth Factors, Immunobiology, Endocrinology and Journal of Proteome Research.
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.