Hui Su
Impact in
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- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Animal Science and Zoology top 10%
- Animal Nutrition and Physiology
- Coccidia and coccidiosis research
Papers in
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- Lipid Membrane Structure and Behavior 3
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- Bone Tissue Engineering Materials 3
- Microfluidic and Capillary Electrophoresis Applications 2
- Co-authors
- Guoliang Qing (3 shared papers)Po Ki Yuen (1 shared paper)Vasiliy N. Goral (1 shared paper)Paul J. Villeneuve (3 shared papers)F.G. Silversides (3 shared papers)Ping Ren (2 shared papers)Daibiao Xiao (2 shared papers)Han‐Yuan Liu (3 shared papers)
- Journals
- International Journal of Biological Macromolecules (3 papers)Poultry Science (2 papers)Oncogene (2 papers)ACS Applied Materials & Interfaces (2 papers)IEEE photonics journal (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Hui Su
24 papers receiving 414 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 91
- Animal Science and Zoology 54
- Molecular Biology 208
- Biochemistry 17
- Agronomy and Crop Science 19
Countries citing papers authored by Hui Su
This map shows the geographic impact of Hui Su'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 Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Su more than expected).
Fields of papers citing papers by Hui Su
This network shows the impact of papers produced by Hui Su. 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 Su. The network helps show where Hui Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Su, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 59 | |
| 2 | 2017 | 52 | |
| 3 | 2019 | 51 | |
| 4 | 2011 | 43 | |
| 5 | 2016 | 36 | |
| 6 | 2020 | 36 | |
| 7 | 2005 | 22 | |
| 8 | 1996 | 17 | |
| 9 | 1998 | 16 | |
| 10 | 2010 | 15 | |
| 11 | 2004 | 14 | |
| 12 | 2021 | 11 | |
| 13 | 2025 | 8 | |
| 14 | 2025 | 7 | |
| 15 | 1994 | 6 | |
| 16 | 2011 | 6 | |
| 17 | 2025 | 6 | |
| 18 | 1995 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 4 |
About Hui Su
Hui Su is a scholar working on Molecular Biology, Biomedical Engineering, Animal Science and Zoology, Genetics and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 426 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (3 papers), Animal Genetics and Reproduction (3 papers), Animal Nutrition and Physiology (3 papers), Lipid Membrane Structure and Behavior (3 papers), melanin and skin pigmentation (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Silk-based biomaterials and applications (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Cancer Research (91 citations), Animal Science and Zoology (54 citations), Molecular Biology (208 citations), Biochemistry (17 citations) and Agronomy and Crop Science (19 citations). Hui Su has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guoliang Qing, Po Ki Yuen, Vasiliy N. Goral, Paul J. Villeneuve, F.G. Silversides, Ping Ren, Daibiao Xiao, Han‐Yuan Liu, Susan Daniel and Róisı́n M. Owens. Their work appears in journals such as International Journal of Biological Macromolecules, Poultry Science, Oncogene, ACS Applied Materials & Interfaces and IEEE photonics journal.
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.