Lü Yan
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
-
- Medicinal Plants and Neuroprotection
- Traditional Chinese Medicine Analysis
Papers in
-
- Medicinal Plants and Neuroprotection 3
- Co-authors
- Karl Wah Keung Tsim (13 shared papers)Sherry L. Xu (6 shared papers)Tina Ting-Xia Dong (7 shared papers)Tina T. X. Dong (5 shared papers)Cathy W.C. Bi (6 shared papers)Kevin Y. Zhu (4 shared papers)Junling Shi (1 shared paper)Candy T. W. Lam (3 shared papers)
- Journals
- Phytotherapy Research (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Journal of Ethnopharmacology (2 papers)Scientific Reports (2 papers)Pest Management Science (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lü Yan
34 papers receiving 683 citations
Peers
Comparison fields: 5 of 99
- Biological Psychiatry 40
- Complementary and alternative medicine 122
- Pharmacology 76
- Neurology 47
- Molecular Medicine 24
Countries citing papers authored by Lü Yan
This map shows the geographic impact of Lü Yan'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 Lü Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lü Yan more than expected).
Fields of papers citing papers by Lü Yan
This network shows the impact of papers produced by Lü Yan. 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 Lü Yan. The network helps show where Lü Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lü Yan, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 87 | |
| 2 | 2020 | 62 | |
| 3 | 2015 | 56 | |
| 4 | 2014 | 46 | |
| 5 | 2016 | 45 | |
| 6 | 2016 | 39 | |
| 7 | 2013 | 36 | |
| 8 | 2013 | 34 | |
| 9 | 2020 | 30 | |
| 10 | 2016 | 30 | |
| 11 | 2015 | 26 | |
| 12 | 2013 | 24 | |
| 13 | 2014 | 22 | |
| 14 | 2020 | 18 | |
| 15 | 2022 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2017 | 12 | |
| 19 | 2016 | 12 | |
| 20 | 2020 | 10 |
About Lü Yan
Lü Yan is a scholar working on Molecular Biology, Complementary and alternative medicine, Neurology, Cellular and Molecular Neuroscience and Epidemiology, having authored 38 papers that have together received 690 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Medicinal Plants and Neuroprotection (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Autophagy in Disease and Therapy (2 papers), Ziziphus Jujuba Studies and Applications (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (40 citations), Complementary and alternative medicine (122 citations), Pharmacology (76 citations), Neurology (47 citations) and Molecular Medicine (24 citations). Lü Yan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Karl Wah Keung Tsim, Sherry L. Xu, Tina Ting-Xia Dong, Tina T. X. Dong, Cathy W.C. Bi, Kevin Y. Zhu, Junling Shi, Candy T. W. Lam, Shan Yu and Li Liu. Their work appears in journals such as Phytotherapy Research, Evidence-based Complementary and Alternative Medicine, Journal of Ethnopharmacology, Scientific Reports and Pest Management Science.
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.