Li‐Qiong Wang
- Complementary and alternative medicine top 0.5%
- Molecular Biology
- Pharmacology top 10%
- Epidemiology
- Psychiatry and Mental health top 10%
- Co-authors
- Phillipa HayMike ArmourCaroline SmithMyeong Soo LeeCun‐Zhi LiuJing‐Wen YangGuang‐Xia ShiYu Wang
- Topics
- Acupuncture Treatment Research Studies (21 papers)Traditional Chinese Medicine Studies (10 papers)Complementary and Alternative Medicine Studies (10 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Li‐Qiong Wang
55 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 121
- Complementary and alternative medicine 487
- Molecular Biology 139
- Pharmacology 124
- Epidemiology 117
- Psychiatry and Mental health 109
Countries citing papers authored by Li‐Qiong Wang
This map shows the geographic impact of Li‐Qiong 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 Li‐Qiong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Qiong Wang more than expected).
Fields of papers citing papers by Li‐Qiong Wang
This network shows the impact of papers produced by Li‐Qiong 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 Li‐Qiong Wang. The network helps show where Li‐Qiong Wang may publish in the future.
Co-authorship network of co-authors of Li‐Qiong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Qiong Wang. A scholar is included among the top collaborators of Li‐Qiong Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li‐Qiong Wang. Li‐Qiong Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 14 | |
| 6 | 131 | |
| 7 | 33 | |
| 8 | 22 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 25 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | Study on NO_x emission intensity of China based on an exploratory spatial data analysis | 1 |
| 18 | 1 | |
| 19 | Analysis on Regional Disparity of NO_X Emissions and Its Reduction Potential in China | 1 |
| 20 | COD emissions in China and its reduction potential based on the environmental learning curve | 1 |
About Li‐Qiong Wang
Li‐Qiong Wang is a scholar working on Complementary and alternative medicine, Pharmacology and Microbiology, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (21 papers), Traditional Chinese Medicine Studies (10 papers) and Complementary and Alternative Medicine Studies (10 papers). The work is most often cited by research in Complementary and alternative medicine (487 citations), Biological Psychiatry (40 citations) and Microbiology (89 citations). Li‐Qiong Wang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Phillipa Hay, Mike Armour, Caroline Smith, Myeong Soo Lee, Cun‐Zhi Liu, Jing‐Wen Yang, Guang‐Xia Shi, Yu Wang, Jianping Liu and Jian‐Feng Tu. Their work appears in journals such as Annals of Internal Medicine, PLoS ONE and Cochrane Database of Systematic Reviews.
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.