Shengfa Li
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
-
- Inflammatory mediators and NSAID effects
Papers in
- Co-authors
- Yuansen Hu (5 shared papers)Huan-Chen Zhai (5 shared papers)Shuaibing Zhang (5 shared papers)Jing-Ping Cai (5 shared papers)Yang‐Yong Lv (4 shared papers)Xiaochun Bai (5 shared papers)Bin Huang (3 shared papers)Zhongmin Zhang (4 shared papers)
- Journals
- Applied Microbiology and Biotechnology (5 papers)Annals of the Rheumatic Diseases (2 papers)Journal of Fungi (1 paper)Journal of Orthopaedic Translation (1 paper)Medicine (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shengfa Li
41 papers receiving 694 citations
Peers
Comparison fields: 5 of 93
- Rheumatology 175
- Pharmacology 81
- Orthopedics and Sports Medicine 33
- Food Science 72
- Biotechnology 29
Countries citing papers authored by Shengfa Li
This map shows the geographic impact of Shengfa 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 Shengfa Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengfa Li more than expected).
Fields of papers citing papers by Shengfa Li
This network shows the impact of papers produced by Shengfa 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 Shengfa Li. The network helps show where Shengfa Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengfa 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 100 | |
| 2 | 2013 | 71 | |
| 3 | 2016 | 69 | |
| 4 | 2021 | 43 | |
| 5 | 2015 | 39 | |
| 6 | 2021 | 36 | |
| 7 | 2015 | 35 | |
| 8 | 2014 | 32 | |
| 9 | 2023 | 31 | |
| 10 | 2021 | 25 | |
| 11 | 2023 | 25 | |
| 12 | 2021 | 22 | |
| 13 | 2018 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2022 | 15 | |
| 16 | 2022 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2016 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2024 | 7 |
About Shengfa Li
Shengfa Li is a scholar working on Molecular Biology, Pharmacology, Rheumatology, Ecology and Plant Science, having authored 43 papers that have together received 699 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Mycotoxins in Agriculture and Food (4 papers), Bone health and treatments (4 papers), Microbial Metabolism and Applications (4 papers), Marine and fisheries research (4 papers), Cephalopods and Marine Biology (4 papers), Isotope Analysis in Ecology (3 papers) and Bone health and osteoporosis research (3 papers). The work is most often cited by research in Rheumatology (175 citations), Pharmacology (81 citations), Orthopedics and Sports Medicine (33 citations), Food Science (72 citations) and Biotechnology (29 citations). Shengfa Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yuansen Hu, Huan-Chen Zhai, Shuaibing Zhang, Jing-Ping Cai, Yang‐Yong Lv, Xiaochun Bai, Bin Huang, Zhongmin Zhang, Changhai Ding and Tianyu Chen. Their work appears in journals such as Applied Microbiology and Biotechnology, Annals of the Rheumatic Diseases, Journal of Fungi, Journal of Orthopaedic Translation and Medicine.
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.