Xiaohui Su
Impact in
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- Natural Compounds in Disease Treatment
- Traditional Chinese Medicine Analysis
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
Papers in ⓘ
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- Natural Compounds in Disease Treatment 7
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- Pharmacological Effects of Natural Compounds 4
- Co-authors
- Na Lin (17 shared papers)Xiangying Kong (16 shared papers)Yanqiong Zhang (6 shared papers)Ye Wan (6 shared papers)Ting Li (6 shared papers)Yu‐Cheng Gu (3 shared papers)Hua Zhou (6 shared papers)Jiye Cai (6 shared papers)
- Journals
- Journal of Ethnopharmacology (5 papers)Chemistry & Biodiversity (4 papers)Biomedicine & Pharmacotherapy (3 papers)Frontiers in Immunology (2 papers)Swarm and Evolutionary Computation (2 papers)
- Partner nations
- ChinaMacaoUnited Kingdom
In The Last Decade
Xiaohui Su
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 117
- Complementary and alternative medicine 245
- Pharmacology 231
- Rheumatology 175
- Molecular Biology 707
- Pharmacology 143
Countries citing papers authored by Xiaohui Su
This map shows the geographic impact of Xiaohui 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 Xiaohui Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Su more than expected).
Fields of papers citing papers by Xiaohui Su
This network shows the impact of papers produced by Xiaohui 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 Xiaohui Su. The network helps show where Xiaohui Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 82 | |
| 2 | 2013 | 80 | |
| 3 | 2014 | 77 | |
| 4 | 2022 | 71 | |
| 5 | 2017 | 66 | |
| 6 | 2017 | 55 | |
| 7 | 2021 | 52 | |
| 8 | 2009 | 45 | |
| 9 | 2019 | 44 | |
| 10 | 2015 | 42 | |
| 11 | 2019 | 42 | |
| 12 | 2021 | 40 | |
| 13 | 2008 | 40 | |
| 14 | 2017 | 40 | |
| 15 | 2017 | 37 | |
| 16 | 2009 | 36 | |
| 17 | 2013 | 30 | |
| 18 | 2015 | 29 | |
| 19 | 2013 | 25 | |
| 20 | 2019 | 24 |
About Xiaohui Su
Xiaohui Su is a scholar working on Complementary and alternative medicine, Pharmacology, Parasitology, Cancer Research and Molecular Biology, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (8 papers), Natural Compounds in Disease Treatment (7 papers), Natural product bioactivities and synthesis (6 papers), Bone Metabolism and Diseases (6 papers), Cancer-related molecular mechanisms research (5 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Pharmacological Effects of Natural Compounds (4 papers) and Radiation Effects in Electronics (4 papers). The work is most often cited by research in Complementary and alternative medicine (245 citations), Pharmacology (231 citations), Rheumatology (175 citations), Molecular Biology (707 citations) and Pharmacology (143 citations). Xiaohui Su has collaborated with scholars based in China, Macao and United Kingdom. Frequent co-authors include Na Lin, Xiangying Kong, Yanqiong Zhang, Ye Wan, Ting Li, Yu‐Cheng Gu, Hua Zhou, Jiye Cai, Changhong Huo and Jianyu Chen. Their work appears in journals such as Journal of Ethnopharmacology, Chemistry & Biodiversity, Biomedicine & Pharmacotherapy, Frontiers in Immunology and Swarm and Evolutionary Computation.
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.