Yaolei Li
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
-
- Traditional Chinese Medicine Analysis
Papers in
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- Plant Toxicity and Pharmacological Properties 4
- Inflammasome and immune disorders 3
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- Drug-Induced Hepatotoxicity and Protection 4
- Co-authors
- Shuang‐Cheng Ma (15 shared papers)Bing Zhang (10 shared papers)Hongyu Jin (15 shared papers)Yu Wang (6 shared papers)Zhijian Lin (8 shared papers)Hao Wu (4 shared papers)Tiantian Zuo (8 shared papers)Qi Wang (2 shared papers)
- Journals
- Frontiers in Pharmacology (3 papers)TrAC Trends in Analytical Chemistry (1 paper)Toxins (1 paper)Frontiers in Nutrition (1 paper)Chinese Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yaolei Li
25 papers receiving 285 citations
Peers
Comparison fields: 5 of 66
- Nephrology 40
- Complementary and alternative medicine 44
- Analytical Chemistry 50
- Pharmacology 40
- Pollution 37
Countries citing papers authored by Yaolei Li
This map shows the geographic impact of Yaolei 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 Yaolei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaolei Li more than expected).
Fields of papers citing papers by Yaolei Li
This network shows the impact of papers produced by Yaolei 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 Yaolei Li. The network helps show where Yaolei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaolei 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 47 | |
| 2 | 2022 | 33 | |
| 3 | 2018 | 30 | |
| 4 | 2019 | 28 | |
| 5 | 2019 | 19 | |
| 6 | 2022 | 16 | |
| 7 | 2024 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2023 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2024 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2025 | 7 | |
| 17 | 2023 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 2 | |
| 20 | 2019 | 2 |
About Yaolei Li
Yaolei Li is a scholar working on Molecular Biology, Pharmacology, Complementary and alternative medicine, Analytical Chemistry and Nephrology, having authored 28 papers that have together received 288 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Plant Toxicity and Pharmacological Properties (4 papers), Heavy metals in environment (4 papers), Traditional Chinese Medicine Analysis (4 papers), Case Reports on Hematomas (3 papers), Inflammasome and immune disorders (3 papers) and Heavy Metals in Plants (3 papers). The work is most often cited by research in Nephrology (40 citations), Complementary and alternative medicine (44 citations), Analytical Chemistry (50 citations), Pharmacology (40 citations) and Pollution (37 citations). Yaolei Li has collaborated with scholars based in China and United States. Frequent co-authors include Shuang‐Cheng Ma, Bing Zhang, Hongyu Jin, Yu Wang, Zhijian Lin, Hao Wu, Tiantian Zuo, Qi Wang, Fei Gao and Yue Liu. Their work appears in journals such as Frontiers in Pharmacology, TrAC Trends in Analytical Chemistry, Toxins, Frontiers in Nutrition and Chinese 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.