Shufa Li
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
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- Plant biochemistry and biosynthesis 7
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- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 3
- Co-authors
- Debin Lu (4 shared papers)Youzhao Jiang (3 shared papers)Bing Chen (3 shared papers)Wuquan Deng (3 shared papers)Zhonghui Zhang (2 shared papers)Qinan Wu (2 shared papers)Ziwen Liang (2 shared papers)Bing Xie (1 shared paper)
In The Last Decade
Shufa Li
38 papers receiving 818 citations
Peers
Comparison fields: 5 of 101
- Rehabilitation 164
- Genetics 234
- Endocrinology, Diabetes and Metabolism 160
- Occupational Therapy 26
- Molecular Biology 372
Countries citing papers authored by Shufa Li
This map shows the geographic impact of Shufa Li'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 Shufa Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shufa Li more than expected).
Fields of papers citing papers by Shufa Li
This network shows the impact of papers produced by Shufa Li. 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 Shufa Li. The network helps show where Shufa Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shufa Li, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 357 | |
| 2 | 2017 | 73 | |
| 3 | 2016 | 61 | |
| 4 | 2018 | 42 | |
| 5 | 2010 | 41 | |
| 6 | 2010 | 35 | |
| 7 | 2017 | 20 | |
| 8 | 2014 | 20 | |
| 9 | 2012 | 19 | |
| 10 | 2015 | 18 | |
| 11 | 2012 | 16 | |
| 12 | 2014 | 16 | |
| 13 | 2024 | 14 | |
| 14 | 2023 | 10 | |
| 15 | 2011 | 10 | |
| 16 | 2010 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 2024 | 7 | |
| 19 | 2018 | 6 | |
| 20 | Studies on Phenotypic Diversity of Vulnerable Rosa praelucens Endemic to Shangrila,Yunnan | 2013 | 6 |
About Shufa Li
Shufa Li is a scholar working on Molecular Biology, Immunology, Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 41 papers that have together received 841 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (7 papers), Diabetes and associated disorders (6 papers), Immune Cell Function and Interaction (6 papers), Plant and animal studies (4 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), T-cell and B-cell Immunology (3 papers), Wound Healing and Treatments (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Rehabilitation (164 citations), Genetics (234 citations), Endocrinology, Diabetes and Metabolism (160 citations), Occupational Therapy (26 citations) and Molecular Biology (372 citations). Shufa Li has collaborated with scholars based in China and Macao. Frequent co-authors include Debin Lu, Youzhao Jiang, Bing Chen, Wuquan Deng, Zhonghui Zhang, Qinan Wu, Ziwen Liang, Bing Xie, Jing Xu and Sihao Chen. Their work appears in journals such as Immunology Letters, Vaccine, Cell Biochemistry and Biophysics, Conservation Genetics and Journal of Molecular and Cellular Cardiology.
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.