Bin Li
- Immunology top 2%
- Psoriasis: Treatment and Pathogenesis 64
- Rehabilitation top 1%
- Wound Healing and Treatments 26
- Dermatology top 0.5%
- Dermatology and Skin Diseases 46
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- Complementary and Alternative Medicine Studies 9
- Nephrology top 2%
- Gout, Hyperuricemia, Uric Acid 15
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- Pharmacological Effects of Natural Compounds 16
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- Cytokine Signaling Pathways and Interactions 13
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- Diabetic Foot Ulcer Assessment and Management 12
- Cited by
- ImmunologyRehabilitationDermatology
- Journals
- Journal of the American Chemical Society (1 paper)Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Bin Li
258 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Immunology 1.4k
- Rehabilitation 448
- Dermatology 535
- Complementary and alternative medicine 336
- Nephrology 220
Countries citing papers authored by Bin Li
This map shows the geographic impact of Bin 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 Bin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Li more than expected).
Fields of papers citing papers by Bin Li
This network shows the impact of papers produced by Bin 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 Bin Li. The network helps show where Bin Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 53 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 82 | |
| 13 | 2022 | 1 | |
| 14 | 2021 | 11 | |
| 15 | 2020 | 13 | |
| 16 | 2020 | 25 | |
| 17 | 2019 | 18 | |
| 18 | 2018 | 26 | |
| 19 | Prevalence and distribution of metabolic syndrome in a southern Chinese population. Relation to exercise, smoking, and educational level. | 2013 | 7 |
| 20 | Study on the relation between TCM syndrome and metabolic syndrome of overweight and obesity patients. | 2010 | 1 |
About Bin Li
Bin Li is a scholar working on Dermatology, Rehabilitation and Immunology, having authored 273 papers that have together received 4.9k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (64 papers), Dermatology and Skin Diseases (46 papers), Wound Healing and Treatments (26 papers), Pharmacological Effects of Natural Compounds (16 papers), Gout, Hyperuricemia, Uric Acid (15 papers), Cytokine Signaling Pathways and Interactions (13 papers), Diabetic Foot Ulcer Assessment and Management (12 papers) and Complementary and Alternative Medicine Studies (9 papers). The work is most often cited by research in Immunology (1.4k citations), Rehabilitation (448 citations) and Dermatology (535 citations). Bin Li has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Xin Li, Le Kuai, Fulun Li, Ya Yuan, Hui Wang, Haiyun Song, Peizhan Chen, Jingquan Li, Xiaoqing Jiang and Wenbo Yao. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.
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.