Yeying Sun
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Physiology top 10%
Papers in
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- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 8
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- Circular RNAs in diseases 5
- Co-authors
- Chunxiang Zhang (10 shared papers)Weihua Bian (9 shared papers)Jing Jiang (6 shared papers)Jie Qi (8 shared papers)Daolai Zhang (5 shared papers)Yanjie Chen (6 shared papers)Quanqi Zhang (5 shared papers)Zhigang Wang (5 shared papers)
- Journals
- Aging (3 papers)Biochemical and Biophysical Research Communications (2 papers)International Immunopharmacology (2 papers)Fish & Shellfish Immunology (2 papers)Biomolecules (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Yeying Sun
38 papers receiving 696 citations
Peers
Comparison fields: 5 of 91
- Cancer Research 222
- Physiology 29
- Immunology 119
- Critical Care and Intensive Care Medicine 25
- Molecular Biology 335
Countries citing papers authored by Yeying Sun
This map shows the geographic impact of Yeying 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 Yeying Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeying Sun more than expected).
Fields of papers citing papers by Yeying Sun
This network shows the impact of papers produced by Yeying 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 Yeying Sun. The network helps show where Yeying Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeying 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 140 | |
| 2 | 2008 | 71 | |
| 3 | 2017 | 49 | |
| 4 | 2016 | 48 | |
| 5 | 2020 | 42 | |
| 6 | 2008 | 29 | |
| 7 | 2016 | 28 | |
| 8 | 2020 | 27 | |
| 9 | 2009 | 23 | |
| 10 | 2012 | 22 | |
| 11 | 2010 | 21 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 16 | |
| 14 | 2012 | 15 | |
| 15 | 2018 | 15 | |
| 16 | 2020 | 12 | |
| 17 | Bioinformatic analysis of potential candidates for therapy of inflammatory bowel disease. | 2015 | 12 |
| 18 | 2023 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2018 | 11 |
About Yeying Sun
Yeying Sun is a scholar working on Cancer Research, Molecular Biology, Immunology, Nature and Landscape Conservation and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 701 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (5 papers), Aquaculture disease management and microbiota (4 papers), Platelet Disorders and Treatments (3 papers), Animal Genetics and Reproduction (2 papers), T-cell and B-cell Immunology (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Cancer Research (222 citations), Physiology (29 citations), Immunology (119 citations), Critical Care and Intensive Care Medicine (25 citations) and Molecular Biology (335 citations). Yeying Sun has collaborated with scholars based in China and United States. Frequent co-authors include Chunxiang Zhang, Weihua Bian, Jing Jiang, Jie Qi, Daolai Zhang, Yanjie Chen, Quanqi Zhang, Zhigang Wang, Xun Lan and Shuo Li. Their work appears in journals such as Aging, Biochemical and Biophysical Research Communications, International Immunopharmacology, Fish & Shellfish Immunology and Biomolecules.
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.