Shaoxia Wang
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
-
- Traditional Chinese Medicine Analysis
Papers in
-
- Ginseng Biological Effects and Applications 7
- Neurology 25
- Neuroinflammation and Neurodegeneration Mechanisms 18
- Neurological Disease Mechanisms and Treatments 13
- Co-authors
- Limin Hu (21 shared papers)Hong Guo (19 shared papers)Xiaohong Tian (18 shared papers)Yanlong Chen (13 shared papers)Xiumei Gao (7 shared papers)Jouko Peltonen (11 shared papers)Lijuan Chai (16 shared papers)Petri Ihalainen (5 shared papers)
- Journals
- PLoS ONE (6 papers)Agronomy Journal (5 papers)Journal of Ethnopharmacology (4 papers)Brain Research (4 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaFinlandUnited States
In The Last Decade
Shaoxia Wang
136 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 162
- Neurology 516
- Complementary and alternative medicine 386
- Soil Science 400
- Biophysics 193
- Developmental Neuroscience 100
Countries citing papers authored by Shaoxia Wang
This map shows the geographic impact of Shaoxia Wang'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 Shaoxia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoxia Wang more than expected).
Fields of papers citing papers by Shaoxia Wang
This network shows the impact of papers produced by Shaoxia Wang. 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 Shaoxia Wang. The network helps show where Shaoxia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoxia Wang, 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 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 172 | |
| 2 | 2014 | 160 | |
| 3 | 2015 | 135 | |
| 4 | 2015 | 114 | |
| 5 | 2011 | 111 | |
| 6 | 2012 | 104 | |
| 7 | 2011 | 99 | |
| 8 | 2015 | 99 | |
| 9 | 2010 | 97 | |
| 10 | 2017 | 83 | |
| 11 | 2015 | 79 | |
| 12 | 2012 | 76 | |
| 13 | 2017 | 71 | |
| 14 | 2014 | 63 | |
| 15 | 2007 | 57 | |
| 16 | 2014 | 55 | |
| 17 | 2014 | 49 | |
| 18 | 2014 | 48 | |
| 19 | 2013 | 47 | |
| 20 | 2017 | 46 |
About Shaoxia Wang
Shaoxia Wang is a scholar working on Molecular Biology, Neurology, Complementary and alternative medicine, Plant Science and Soil Science, having authored 140 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (18 papers), Traditional Chinese Medicine Analysis (15 papers), Plant Micronutrient Interactions and Effects (15 papers), Neurological Disease Mechanisms and Treatments (13 papers), Agricultural Science and Fertilization (12 papers), Phytase and its Applications (8 papers), Ginseng Biological Effects and Applications (7 papers) and Material Properties and Processing (6 papers). The work is most often cited by research in Neurology (516 citations), Complementary and alternative medicine (386 citations), Soil Science (400 citations), Biophysics (193 citations) and Developmental Neuroscience (100 citations). Shaoxia Wang has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Limin Hu, Hong Guo, Xiaohong Tian, Yanlong Chen, Xiumei Gao, Jouko Peltonen, Lijuan Chai, Petri Ihalainen, Anni Määttänen and Meng Li. Their work appears in journals such as PLoS ONE, Agronomy Journal, Journal of Ethnopharmacology, Brain Research and Scientific Reports.
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.