Jun‐Li Yang
Impact in
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- Traditional Chinese Medicine Analysis
- Cancer Research top 5%
- Sesquiterpenes and Asteraceae Studies
Papers in
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- Sesquiterpenes and Asteraceae Studies 25
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- Traditional Chinese Medicine Analysis 9
- Medicinal Plants and Neuroprotection 7
- Co-authors
- Yan-Ping Shi (47 shared papers)Leilei Liu (12 shared papers)Won Keun Oh (12 shared papers)Thi Kim Quy Ha (10 shared papers)Weifeng Wang (21 shared papers)Xian‐Hua Meng (25 shared papers)Wei Ha (8 shared papers)Hai‐Long Jiang (3 shared papers)
- Journals
- Phytochemistry (7 papers)Molecules (7 papers)Journal of Agricultural and Food Chemistry (5 papers)Phytochemistry Letters (5 papers)Microchimica Acta (4 papers)
- Partner nations
- ChinaIranSouth Korea
In The Last Decade
Jun‐Li Yang
158 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 136
- Complementary and alternative medicine 218
- Cancer Research 297
- Biochemistry 94
- Plant Science 493
- Molecular Biology 621
Countries citing papers authored by Jun‐Li Yang
This map shows the geographic impact of Jun‐Li Yang'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 Yang 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 Yang more than expected).
Fields of papers citing papers by Jun‐Li Yang
This network shows the impact of papers produced by Jun‐Li Yang. 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 Yang. The network helps show where Jun‐Li Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Li Yang, 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 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 102 | |
| 2 | 2007 | 95 | |
| 3 | 2013 | 87 | |
| 4 | 2014 | 83 | |
| 5 | 2016 | 75 | |
| 6 | 2017 | 73 | |
| 7 | 2010 | 69 | |
| 8 | 2016 | 58 | |
| 9 | 2015 | 55 | |
| 10 | 2017 | 53 | |
| 11 | 2018 | 51 | |
| 12 | 2021 | 48 | |
| 13 | 2022 | 48 | |
| 14 | 2011 | 45 | |
| 15 | 2019 | 44 | |
| 16 | 2014 | 42 | |
| 17 | 2016 | 42 | |
| 18 | 2021 | 41 | |
| 19 | 2017 | 38 | |
| 20 | 2011 | 37 |
About Jun‐Li Yang
Jun‐Li Yang is a scholar working on Cancer Research, Complementary and alternative medicine, Molecular Biology, Plant Science and Spectroscopy, having authored 172 papers that have together received 2.8k indexed citations. Recurring topics across this work include Sesquiterpenes and Asteraceae Studies (25 papers), Phytochemistry and Biological Activities (23 papers), Natural product bioactivities and synthesis (14 papers), Molecular Sensors and Ion Detection (9 papers), Traditional Chinese Medicine Analysis (9 papers), Medicinal Plants and Neuroprotection (7 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers) and Silicon Nanostructures and Photoluminescence (6 papers). The work is most often cited by research in Complementary and alternative medicine (218 citations), Cancer Research (297 citations), Biochemistry (94 citations), Plant Science (493 citations) and Molecular Biology (621 citations). Jun‐Li Yang has collaborated with scholars based in China, Iran and South Korea. Frequent co-authors include Yan-Ping Shi, Leilei Liu, Won Keun Oh, Thi Kim Quy Ha, Weifeng Wang, Xian‐Hua Meng, Wei Ha, Hai‐Long Jiang, Stanislas Nsanzamahoro and Hieu Nguyen-Ngoc. Their work appears in journals such as Phytochemistry, Molecules, Journal of Agricultural and Food Chemistry, Phytochemistry Letters and Microchimica Acta.
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.