Xia Mao
Impact in
-
- Natural Compounds in Disease Treatment
- Traditional Chinese Medicine Analysis
- Drug Discovery top 5%
Papers in
-
- Natural Compounds in Disease Treatment 16
- Pharmacology 19
- Co-authors
- Yanqiong Zhang (36 shared papers)Na Lin (21 shared papers)Qiuyan Guo (20 shared papers)Jiwu Wei (16 shared papers)Kaiyu Yuan (5 shared papers)Gang Meng (14 shared papers)Jiang‐Miao Hu (30 shared papers)Xiaoyue Wang (12 shared papers)
- Journals
- Journal of Asian Natural Products Research (8 papers)Oncotarget (7 papers)Scientific Reports (5 papers)Phytomedicine (4 papers)Chinese Medicine (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xia Mao
155 papers receiving 3.5k citations
Xia Mao's Hit Papers
Peers
Comparison fields: 5 of 121
- Complementary and alternative medicine 464
- Drug Discovery 11
- Nephrology 258
- Animal Science and Zoology 153
- Pharmacology 148
Countries citing papers authored by Xia Mao
This map shows the geographic impact of Xia Mao'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 Xia Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Mao more than expected).
Fields of papers citing papers by Xia Mao
This network shows the impact of papers produced by Xia Mao. 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 Xia Mao. The network helps show where Xia Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Mao, 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 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 294 | |
| 2 | Tripterygium wilfordii : An inspiring resource for rheumatoid arthritis treatment Hit paper breakdown → | 2020 | 169 |
| 3 | 2014 | 168 | |
| 4 | 2011 | 155 | |
| 5 | Cell Viability Assays -- Assay Guidance Manual | 2004 | 146 |
| 6 | 2013 | 105 | |
| 7 | 2014 | 104 | |
| 8 | 2018 | 83 | |
| 9 | 2017 | 67 | |
| 10 | 2016 | 66 | |
| 11 | 2012 | 63 | |
| 12 | 2015 | 63 | |
| 13 | 2023 | 62 | |
| 14 | 2016 | 60 | |
| 15 | 2014 | 57 | |
| 16 | 2014 | 56 | |
| 17 | 2001 | 50 | |
| 18 | 2012 | 46 | |
| 19 | 2012 | 44 | |
| 20 | 2019 | 43 |
About Xia Mao
Xia Mao is a scholar working on Complementary and alternative medicine, Pharmacology, Molecular Biology, Computational Theory and Mathematics and Plant Science, having authored 162 papers that have together received 3.5k indexed citations. Recurring topics across this work include Natural Compounds in Disease Treatment (16 papers), Computational Drug Discovery Methods (13 papers), Virus-based gene therapy research (11 papers), Rheumatoid Arthritis Research and Therapies (10 papers), Phytochemistry and Biological Activities (10 papers), Animal testing and alternatives (8 papers), Plant-Microbe Interactions and Immunity (8 papers) and Phytochemical Studies and Bioactivities (7 papers). The work is most often cited by research in Complementary and alternative medicine (464 citations), Drug Discovery (11 citations), Nephrology (258 citations), Animal Science and Zoology (153 citations) and Pharmacology (148 citations). Xia Mao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yanqiong Zhang, Na Lin, Qiuyan Guo, Jiwu Wei, Kaiyu Yuan, Gang Meng, Jiang‐Miao Hu, Xiaoyue Wang, Yong Jiang Sun and Weijie Li. Their work appears in journals such as Journal of Asian Natural Products Research, Oncotarget, Scientific Reports, Phytomedicine and Chinese Medicine.
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.