Hui Sun
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Physiology 14
- Diet and metabolism studies 5
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- Extracellular vesicles in disease 5
- Gut microbiota and health 4
- Co-authors
- Kohei Yuyama (6 shared papers)Yasuyuki Igarashi (6 shared papers)Susumu Mitsutake (2 shared papers)Lei Zhao (6 shared papers)Muyang Li (5 shared papers)Jun‐ichi Furukawa (2 shared papers)Yasuro Shinohara (1 shared paper)Hidetoshi Tahara (1 shared paper)
In The Last Decade
Hui Sun
52 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 117
- Cancer Research 424
- Neurology 198
- Molecular Biology 1.2k
- Animal Science and Zoology 131
- Geriatrics and Gerontology 38
Countries citing papers authored by Hui Sun
This map shows the geographic impact of Hui Sun'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 Hui Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Sun more than expected).
Fields of papers citing papers by Hui Sun
This network shows the impact of papers produced by Hui Sun. 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 Hui Sun. The network helps show where Hui Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Sun, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 523 | |
| 2 | 2014 | 300 | |
| 3 | 2019 | 116 | |
| 4 | 2014 | 57 | |
| 5 | 2022 | 56 | |
| 6 | 2016 | 52 | |
| 7 | 2014 | 49 | |
| 8 | 2019 | 47 | |
| 9 | 2013 | 42 | |
| 10 | 2019 | 37 | |
| 11 | 2019 | 37 | |
| 12 | 2011 | 34 | |
| 13 | 2018 | 32 | |
| 14 | 2018 | 29 | |
| 15 | 2000 | 29 | |
| 16 | 2021 | 28 | |
| 17 | 2020 | 26 | |
| 18 | 2020 | 25 | |
| 19 | 2019 | 21 | |
| 20 | 2022 | 21 |
About Hui Sun
Hui Sun is a scholar working on Physiology, Molecular Biology, Cancer Research, Animal Science and Zoology and Complementary and alternative medicine, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), Animal Nutrition and Physiology (5 papers), Diet and metabolism studies (5 papers), Gut microbiota and health (4 papers), Muscle metabolism and nutrition (4 papers), Phytochemical and Pharmacological Studies (4 papers), MicroRNA in disease regulation (3 papers) and Animal Behavior and Welfare Studies (3 papers). The work is most often cited by research in Cancer Research (424 citations), Neurology (198 citations), Molecular Biology (1.2k citations), Animal Science and Zoology (131 citations) and Geriatrics and Gerontology (38 citations). Hui Sun has collaborated with scholars based in China, Japan and Egypt. Frequent co-authors include Kohei Yuyama, Yasuyuki Igarashi, Susumu Mitsutake, Lei Zhao, Muyang Li, Jun‐ichi Furukawa, Yasuro Shinohara, Hidetoshi Tahara, Naoki Fujitani and Shota Sakaï. Their work appears in journals such as PLoS ONE, Journal of Animal Physiology and Animal Nutrition, International Journal of Biological Macromolecules, International Journal of Molecular Medicine and Aging.
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.