Xiaoping Pu
Impact in
-
- Traditional Chinese Medicine Analysis
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Neurology 18
- Parkinson's Disease Mechanisms and Treatments 18
- Pharmacology 12
- Co-authors
- Xin Sheng Zhao (30 shared papers)Li Shen (1 shared paper)Yi Xin Sun (23 shared papers)Xingchao Geng (2 shared papers)Peng‐Fei Tu (2 shared papers)Guoqing Sheng (2 shared papers)Changling Li (2 shared papers)Tian Fang (7 shared papers)
- Journals
- European Journal of Pharmacology (7 papers)Biological and Pharmaceutical Bulletin (6 papers)Journal of Pharmacological Sciences (4 papers)Planta Medica (3 papers)Brain Research (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaoping Pu
85 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 119
- Complementary and alternative medicine 271
- Neurology 174
- Neurology 297
- Pharmacology 158
- Biological Psychiatry 42
Countries citing papers authored by Xiaoping Pu
This map shows the geographic impact of Xiaoping Pu'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 Xiaoping Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Pu more than expected).
Fields of papers citing papers by Xiaoping Pu
This network shows the impact of papers produced by Xiaoping Pu. 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 Xiaoping Pu. The network helps show where Xiaoping Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Pu, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 132 | |
| 2 | 2007 | 104 | |
| 3 | 2002 | 95 | |
| 4 | 2011 | 77 | |
| 5 | 2017 | 62 | |
| 6 | 2020 | 62 | |
| 7 | 2003 | 61 | |
| 8 | 2010 | 58 | |
| 9 | 2004 | 54 | |
| 10 | 2002 | 43 | |
| 11 | 2014 | 43 | |
| 12 | 2011 | 42 | |
| 13 | 2012 | 42 | |
| 14 | 2021 | 40 | |
| 15 | 2009 | 39 | |
| 16 | 2007 | 38 | |
| 17 | 2020 | 37 | |
| 18 | 2011 | 36 | |
| 19 | 2010 | 35 | |
| 20 | 2019 | 34 |
About Xiaoping Pu
Xiaoping Pu is a scholar working on Neurology, Pharmacology, Complementary and alternative medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 85 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (18 papers), Phytochemistry and Biological Activities (11 papers), Nuclear Receptors and Signaling (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Natural product bioactivities and synthesis (7 papers), Alzheimer's disease research and treatments (7 papers), Neuroscience and Neuropharmacology Research (5 papers) and Traditional Chinese Medicine Analysis (5 papers). The work is most often cited by research in Complementary and alternative medicine (271 citations), Neurology (174 citations), Neurology (297 citations), Pharmacology (158 citations) and Biological Psychiatry (42 citations). Xiaoping Pu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xin Sheng Zhao, Li Shen, Yi Xin Sun, Xingchao Geng, Peng‐Fei Tu, Guoqing Sheng, Changling Li, Tian Fang, Xue‐Fei Tian and Pengfei Tu. Their work appears in journals such as European Journal of Pharmacology, Biological and Pharmaceutical Bulletin, Journal of Pharmacological Sciences, Planta Medica and Brain Research.
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.