Weixia Li
Impact in
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- Traditional Chinese Medicine Analysis
- Hepatology top 5%
- Hepatitis C virus research
Papers in
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- Metabolomics and Mass Spectrometry Studies 12
- Ginseng Biological Effects and Applications 8
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- Traditional Chinese Medicine Analysis 26
- Traditional Chinese Medicine Studies 13
- Co-authors
- Yuping Tang (20 shared papers)Jin‐Ao Duan (21 shared papers)Kemin Chen (7 shared papers)Yuxian Huang (12 shared papers)Qiang Li (14 shared papers)Jianying Li (1 shared paper)Peijie Lv (1 shared paper)Xiao Lin (1 shared paper)
- Journals
- Scientific Reports (4 papers)Journal of Ethnopharmacology (4 papers)Journal of Pharmaceutical and Biomedical Analysis (4 papers)PLoS ONE (3 papers)Oncotarget (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Weixia Li
155 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 164
- Complementary and alternative medicine 351
- Hepatology 200
- Pharmacology 186
- Critical Care and Intensive Care Medicine 74
- Epidemiology 299
Countries citing papers authored by Weixia Li
This map shows the geographic impact of Weixia 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 Weixia Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weixia Li more than expected).
Fields of papers citing papers by Weixia Li
This network shows the impact of papers produced by Weixia 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 Weixia Li. The network helps show where Weixia Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Weixia 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
Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 177 | |
| 2 | 2012 | 122 | |
| 3 | 2018 | 99 | |
| 4 | 2019 | 86 | |
| 5 | 2018 | 73 | |
| 6 | 2021 | 73 | |
| 7 | 2014 | 72 | |
| 8 | 2012 | 70 | |
| 9 | 2012 | 70 | |
| 10 | 2018 | 62 | |
| 11 | 2008 | 56 | |
| 12 | 2016 | 53 | |
| 13 | 2020 | 52 | |
| 14 | 2016 | 48 | |
| 15 | 2015 | 47 | |
| 16 | 2014 | 39 | |
| 17 | 2013 | 38 | |
| 18 | 2015 | 38 | |
| 19 | 2017 | 37 | |
| 20 | 2014 | 36 |
About Weixia Li
Weixia Li is a scholar working on Molecular Biology, Complementary and alternative medicine, Pharmacology, Pharmacology and Epidemiology, having authored 165 papers that have together received 2.6k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (26 papers), Traditional Chinese Medicine Studies (13 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Ginseng Biological Effects and Applications (8 papers), Hepatitis B Virus Studies (7 papers), Flavonoids in Medical Research (7 papers), Parasitic infections in humans and animals (7 papers) and Liver Disease Diagnosis and Treatment (7 papers). The work is most often cited by research in Complementary and alternative medicine (351 citations), Hepatology (200 citations), Pharmacology (186 citations), Critical Care and Intensive Care Medicine (74 citations) and Epidemiology (299 citations). Weixia Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuping Tang, Jin‐Ao Duan, Kemin Chen, Yuxian Huang, Qiang Li, Jianying Li, Peijie Lv, Xiao Lin, Yanyan Chen and Jianming Guo. Their work appears in journals such as Scientific Reports, Journal of Ethnopharmacology, Journal of Pharmaceutical and Biomedical Analysis, PLoS ONE and Oncotarget.
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.