Weixing Shen
Impact in
-
- Acupuncture Treatment Research Studies
- Traditional Chinese Medicine Analysis
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
Papers in
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- Phosphodiesterase function and regulation 5
- Epigenetics and DNA Methylation 4
- Oncology 19
- Co-authors
- Haibo Cheng (38 shared papers)Jiani Tan (22 shared papers)Changliang Xu (23 shared papers)Dongdong Sun (28 shared papers)Qibiao Wu (10 shared papers)Xiaoyan Shen (8 shared papers)Liu Li (9 shared papers)Bing‐Mei Zhu (4 shared papers)
- Journals
- Phytomedicine (8 papers)Journal of Ethnopharmacology (6 papers)Frontiers in Oncology (3 papers)Scientific Reports (2 papers)Chemico-Biological Interactions (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Weixing Shen
83 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 128
- Complementary and alternative medicine 252
- Pharmacology 168
- Cancer Research 207
- Neurology 110
- Molecular Biology 865
Countries citing papers authored by Weixing Shen
This map shows the geographic impact of Weixing Shen'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 Weixing Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weixing Shen more than expected).
Fields of papers citing papers by Weixing Shen
This network shows the impact of papers produced by Weixing Shen. 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 Weixing Shen. The network helps show where Weixing Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Weixing Shen, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 107 | |
| 2 | 2012 | 81 | |
| 3 | 2015 | 70 | |
| 4 | 2014 | 63 | |
| 5 | 2021 | 55 | |
| 6 | 2020 | 52 | |
| 7 | 2015 | 51 | |
| 8 | 2014 | 50 | |
| 9 | 2019 | 50 | |
| 10 | 2014 | 50 | |
| 11 | 2014 | 48 | |
| 12 | 2016 | 43 | |
| 13 | 2018 | 42 | |
| 14 | 2015 | 41 | |
| 15 | 2011 | 41 | |
| 16 | 2014 | 39 | |
| 17 | 2016 | 34 | |
| 18 | 2015 | 33 | |
| 19 | 2021 | 33 | |
| 20 | 2011 | 32 |
About Weixing Shen
Weixing Shen is a scholar working on Molecular Biology, Oncology, Cancer Research, Pharmacology and Epidemiology, having authored 94 papers that have together received 1.7k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (6 papers), Phosphodiesterase function and regulation (5 papers), Autophagy in Disease and Therapy (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Pharmacological Effects of Natural Compounds (5 papers), Cancer Mechanisms and Therapy (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Complementary and alternative medicine (252 citations), Pharmacology (168 citations), Cancer Research (207 citations), Neurology (110 citations) and Molecular Biology (865 citations). Weixing Shen has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Haibo Cheng, Jiani Tan, Changliang Xu, Dongdong Sun, Qibiao Wu, Xiaoyan Shen, Liu Li, Bing‐Mei Zhu, Vincent C. Manganiello and Matthew A. Movsesian. Their work appears in journals such as Phytomedicine, Journal of Ethnopharmacology, Frontiers in Oncology, Scientific Reports and Chemico-Biological Interactions.
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.