Lan Wang
Impact in
-
- Traditional Chinese Medicine Analysis
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
Papers in ⓘ
-
- Traditional Chinese Medicine Analysis 8
- Co-authors
- Wuai Zhou (1 shared paper)Shao Li (1 shared paper)Peng Zhang (1 shared paper)Dingfan Zhang (1 shared paper)Boyang Wang (1 shared paper)Tingyu Zhang (1 shared paper)Rixin Liang (6 shared papers)Bin Yang (1 shared paper)
- Journals
- Journal of Ethnopharmacology (4 papers)Evidence-based Complementary and Alternative Medicine (4 papers)PLoS ONE (4 papers)Medicine (3 papers)Phytomedicine (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lan Wang
91 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Complementary and alternative medicine 259
- Pharmacology 226
- Dermatology 103
- Biochemistry 57
- Internal Medicine 30
Countries citing papers authored by Lan Wang
This map shows the geographic impact of Lan Wang'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 Lan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wang more than expected).
Fields of papers citing papers by Lan Wang
This network shows the impact of papers produced by Lan Wang. 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 Lan Wang. The network helps show where Lan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Wang, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine Hit paper breakdown → | 2023 | 249 |
| 2 | 2018 | 95 | |
| 3 | 2016 | 76 | |
| 4 | 2018 | 75 | |
| 5 | 2021 | 63 | |
| 6 | 2015 | 62 | |
| 7 | 2009 | 57 | |
| 8 | 2016 | 55 | |
| 9 | 2016 | 53 | |
| 10 | 2018 | 48 | |
| 11 | 2021 | 47 | |
| 12 | 2013 | 45 | |
| 13 | 2006 | 40 | |
| 14 | 2016 | 37 | |
| 15 | 2014 | 35 | |
| 16 | 2016 | 33 | |
| 17 | Far infrared assisted kenaf leaf tea preparation and its effect on phenolic compounds, antioxidant and ACE inhibitory activity | 2013 | 29 |
| 18 | 2000 | 29 | |
| 19 | 2013 | 29 | |
| 20 | 2015 | 25 |
About Lan Wang
Lan Wang is a scholar working on Complementary and alternative medicine, Pharmacology, Dermatology, Complementary and Manual Therapy and Biochemistry, having authored 98 papers that have together received 1.8k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (8 papers), Dermatology and Skin Diseases (6 papers), RNA Research and Splicing (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), Neurological Disease Mechanisms and Treatments (4 papers), Infection Control and Ventilation (4 papers) and Urban Green Space and Health (3 papers). The work is most often cited by research in Complementary and alternative medicine (259 citations), Pharmacology (226 citations), Dermatology (103 citations), Biochemistry (57 citations) and Internal Medicine (30 citations). Lan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wuai Zhou, Shao Li, Peng Zhang, Dingfan Zhang, Boyang Wang, Tingyu Zhang, Rixin Liang, Bin Yang, Jianyong Zhang and Xueyi Wang. Their work appears in journals such as Journal of Ethnopharmacology, Evidence-based Complementary and Alternative Medicine, PLoS ONE, Medicine and Phytomedicine.
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.