Xiaolan Wu
Impact in
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
- Biological Psychiatry top 10%
Papers in
-
- Natural product bioactivities and synthesis 13
- Ginseng Biological Effects and Applications 12
- Pharmacology 12
- Pharmacological Effects of Natural Compounds 9
- Co-authors
- Sachie Kishitani (2 shared papers)Yukihiro Ito (2 shared papers)Kinya Toriyama (2 shared papers)Guangji Wang (22 shared papers)Fang Zhou (14 shared papers)Jingwei Zhang (8 shared papers)Haiping Hao (8 shared papers)Gang Hao (5 shared papers)
- Journals
- Chinese Journal of Natural Medicines (4 papers)Journal of Ethnopharmacology (3 papers)PLoS ONE (3 papers)British Journal of Pharmacology (2 papers)Drug Metabolism and Disposition (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaolan Wu
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Pharmacology 260
- Biological Psychiatry 49
- Complementary and alternative medicine 153
- Molecular Biology 945
- Toxicology 44
Countries citing papers authored by Xiaolan Wu
This map shows the geographic impact of Xiaolan Wu'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 Xiaolan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Wu more than expected).
Fields of papers citing papers by Xiaolan Wu
This network shows the impact of papers produced by Xiaolan Wu. 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 Xiaolan Wu. The network helps show where Xiaolan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolan Wu, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 389 | |
| 2 | 2010 | 92 | |
| 3 | 2011 | 90 | |
| 4 | 2012 | 84 | |
| 5 | 2011 | 81 | |
| 6 | 2012 | 77 | |
| 7 | 2013 | 65 | |
| 8 | 2010 | 53 | |
| 9 | 2011 | 44 | |
| 10 | 2011 | 40 | |
| 11 | 2012 | 38 | |
| 12 | 2012 | 37 | |
| 13 | 2012 | 35 | |
| 14 | 2009 | 33 | |
| 15 | 2014 | 29 | |
| 16 | 2013 | 28 | |
| 17 | 2011 | 25 | |
| 18 | 2013 | 22 | |
| 19 | 2007 | 20 | |
| 20 | 2012 | 18 |
About Xiaolan Wu
Xiaolan Wu is a scholar working on Molecular Biology, Pharmacology, Plant Science, Oncology and Complementary and alternative medicine, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (13 papers), Ginseng Biological Effects and Applications (12 papers), Pharmacological Effects of Natural Compounds (9 papers), Phytochemistry and Biological Activities (8 papers), Traditional Chinese Medicine Analysis (8 papers), Drug Transport and Resistance Mechanisms (5 papers), Cancer Treatment and Pharmacology (4 papers) and Essential Oils and Antimicrobial Activity (3 papers). The work is most often cited by research in Pharmacology (260 citations), Biological Psychiatry (49 citations), Complementary and alternative medicine (153 citations), Molecular Biology (945 citations) and Toxicology (44 citations). Xiaolan Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Sachie Kishitani, Yukihiro Ito, Kinya Toriyama, Guangji Wang, Fang Zhou, Jingwei Zhang, Haiping Hao, Gang Hao, Jianguo Sun and Fang Niu. Their work appears in journals such as Chinese Journal of Natural Medicines, Journal of Ethnopharmacology, PLoS ONE, British Journal of Pharmacology and Drug Metabolism and Disposition.
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.