Xiaotong Wang
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Image and Signal Denoising Methods 12
- Co-authors
- Xiaogang Xu (13 shared papers)Haixiong Lin (24 shared papers)Guanlei Xu (10 shared papers)Xiamu Niu (2 shared papers)Xiaogang Xu (2 shared papers)Jian‐Bo Wan (2 shared papers)Xuejing Jia (2 shared papers)Jiaolin Bao (2 shared papers)
- Journals
- Medicine (7 papers)ACS Chemical Biology (5 papers)Evidence-based Complementary and Alternative Medicine (4 papers)Scientific Reports (4 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaotong Wang
164 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 169
- Physiology 100
- Neurology 150
- Complementary and alternative medicine 147
- Pharmacology 245
- Pharmacology 108
Countries citing papers authored by Xiaotong Wang
This map shows the geographic impact of Xiaotong 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 Xiaotong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaotong Wang more than expected).
Fields of papers citing papers by Xiaotong Wang
This network shows the impact of papers produced by Xiaotong 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 Xiaotong Wang. The network helps show where Xiaotong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaotong 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 177 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 153 | |
| 2 | 2016 | 121 | |
| 3 | 2020 | 121 | |
| 4 | 2007 | 90 | |
| 5 | 2016 | 83 | |
| 6 | 2018 | 78 | |
| 7 | 2005 | 74 | |
| 8 | 2020 | 70 | |
| 9 | 2012 | 64 | |
| 10 | 2014 | 62 | |
| 11 | 2015 | 53 | |
| 12 | 2019 | 51 | |
| 13 | 2013 | 46 | |
| 14 | 2021 | 45 | |
| 15 | 2008 | 43 | |
| 16 | 2009 | 42 | |
| 17 | 2018 | 40 | |
| 18 | 2020 | 40 | |
| 19 | 2020 | 37 | |
| 20 | 2021 | 36 |
About Xiaotong Wang
Xiaotong Wang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Physiology, Pharmacology and Complementary and alternative medicine, having authored 177 papers that have together received 2.7k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (12 papers), Acupuncture Treatment Research Studies (9 papers), Functional Brain Connectivity Studies (6 papers), Pharmacological Effects of Natural Compounds (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Microbial Natural Products and Biosynthesis (5 papers), Tryptophan and brain disorders (5 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Physiology (100 citations), Neurology (150 citations), Complementary and alternative medicine (147 citations), Pharmacology (245 citations) and Pharmacology (108 citations). Xiaotong Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaogang Xu, Haixiong Lin, Guanlei Xu, Xiamu Niu, Xiaogang Xu, Jian‐Bo Wan, Xuejing Jia, Jiaolin Bao, Kai Wang and Meiwan Chen. Their work appears in journals such as Medicine, ACS Chemical Biology, Evidence-based Complementary and Alternative Medicine, Scientific Reports and Biochemical and Biophysical Research Communications.
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.