Jun Li
- Complementary and alternative medicine top 0.05%
- Traditional Chinese Medicine Analysis 91
- Traditional Chinese Medicine Studies 30
- Pharmacology top 0.1%
- Microbial Natural Products and Biosynthesis 40
- Pharmacology top 0.2%
- Microbial Natural Products and Biosynthesis 40
- Biotechnology top 0.2%
- Molecular Biology top 0.5%
- Natural product bioactivities and synthesis 99
- Metabolomics and Mass Spectrometry Studies 67
- Ginseng Biological Effects and Applications 37
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- Phytochemistry and Biological Activities 86
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- Analytical Chemistry and Chromatography 38
- Co-authors
- Pengfei TuYuelin SongYong JiangYunfang ZhaoShepo ShiKarl Wah Keung TsimQingqing SongJiao Zheng
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Li
744 papers receiving 15.3k citations
Peers
Comparison fields: 5 of 200
- Complementary and alternative medicine 1.9k
- Pharmacology 1.3k
- Pharmacology 2.2k
- Biotechnology 933
- Molecular Biology 7.2k
Countries citing papers authored by Jun Li
This map shows the geographic impact of Jun 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 Jun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Li more than expected).
Fields of papers citing papers by Jun Li
This network shows the impact of papers produced by Jun 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 Jun Li. The network helps show where Jun Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun 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 | 1 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 7 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 13 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 6 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 9 | |
| 19 | 2022 | 23 | |
| 20 | 2022 | 11 |
About Jun Li
Jun Li is a scholar working on Complementary and alternative medicine, Pharmacology and Pharmacology, having authored 797 papers that have together received 15.6k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (99 papers), Traditional Chinese Medicine Analysis (91 papers), Phytochemistry and Biological Activities (86 papers), Metabolomics and Mass Spectrometry Studies (67 papers), Microbial Natural Products and Biosynthesis (40 papers), Analytical Chemistry and Chromatography (38 papers), Ginseng Biological Effects and Applications (37 papers) and Traditional Chinese Medicine Studies (30 papers). The work is most often cited by research in Complementary and alternative medicine (1.9k citations), Pharmacology (1.3k citations) and Pharmacology (2.2k citations). Jun Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Pengfei Tu, Yuelin Song, Yong Jiang, Yunfang Zhao, Shepo Shi, Karl Wah Keung Tsim, Qingqing Song, Jiao Zheng, Pengfei Tu and Louise D. McCullough. Their work appears in journals such as Journal of Natural Products, Fitoterapia, Molecules, Journal of Chromatography A and Scientific Reports.
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.