Ayaka Ito
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Biochemistry top 5%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 3
- Surgery 11
- Cholesterol and Lipid Metabolism 8
- Co-authors
- Peter Tontonoz (7 shared papers)Cynthia Hong (6 shared papers)Xin Rong (4 shared papers)Elizabeth J. Tarling (2 shared papers)Takayoshi Suganami (15 shared papers)Yoshihiro Ogawa (9 shared papers)Per Niklas Hedde (2 shared papers)Miyako Tanaka (11 shared papers)
- Journals
- Scientific Reports (3 papers)Journal of Lipid Research (3 papers)International Journal of Molecular Sciences (3 papers)Frontiers in Immunology (2 papers)Archives of Virology (2 papers)
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Ayaka Ito
52 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 109
- Immunology 428
- Biochemistry 85
- Epidemiology 359
- Surgery 354
- Molecular Biology 561
Countries citing papers authored by Ayaka Ito
This map shows the geographic impact of Ayaka Ito'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 Ayaka Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayaka Ito more than expected).
Fields of papers citing papers by Ayaka Ito
This network shows the impact of papers produced by Ayaka Ito. 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 Ayaka Ito. The network helps show where Ayaka Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayaka Ito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 252 | |
| 2 | 2015 | 228 | |
| 3 | 2008 | 124 | |
| 4 | 2011 | 118 | |
| 5 | 1997 | 116 | |
| 6 | 2016 | 100 | |
| 7 | 2007 | 79 | |
| 8 | 2020 | 60 | |
| 9 | 2013 | 51 | |
| 10 | 2020 | 49 | |
| 11 | 2020 | 34 | |
| 12 | 2021 | 34 | |
| 13 | 2023 | 30 | |
| 14 | 2021 | 27 | |
| 15 | 2018 | 26 | |
| 16 | 2016 | 25 | |
| 17 | 2014 | 23 | |
| 18 | 2021 | 19 | |
| 19 | 2020 | 17 | |
| 20 | 2021 | 17 |
About Ayaka Ito
Ayaka Ito is a scholar working on Molecular Biology, Surgery, Epidemiology, Physiology and Immunology, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (8 papers), Adipose Tissue and Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Animal Disease Management and Epidemiology (4 papers), Barrier Structure and Function Studies (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Immunology (428 citations), Biochemistry (85 citations), Epidemiology (359 citations), Surgery (354 citations) and Molecular Biology (561 citations). Ayaka Ito has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Peter Tontonoz, Cynthia Hong, Xin Rong, Elizabeth J. Tarling, Takayoshi Suganami, Yoshihiro Ogawa, Per Niklas Hedde, Miyako Tanaka, John S. Parks and Enrico Gratton. Their work appears in journals such as Scientific Reports, Journal of Lipid Research, International Journal of Molecular Sciences, Frontiers in Immunology and Archives of Virology.
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.