Xiaowan Wang
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Mitochondrial Function and Pathology 9
- Epidemiology 15
- Autophagy in Disease and Therapy 10
- Co-authors
- Shinghua Ding (8 shared papers)Russell H. Swerdlow (17 shared papers)Heather Wilkins (16 shared papers)Hailong Li (2 shared papers)Jingsheng Zhang (1 shared paper)Wei Huang (1 shared paper)Ian Weidling (8 shared papers)Scott J. Koppel (7 shared papers)
- Journals
- Scientific Reports (4 papers)Journal of Alzheimer s Disease (4 papers)Mitochondrion (3 papers)International Journal of Biological Macromolecules (3 papers)Journal of Ethnopharmacology (3 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Xiaowan Wang
111 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 159
- Geriatrics and Gerontology 103
- Nephrology 88
- Periodontics 44
- Neurology 73
- Physiology 40
Countries citing papers authored by Xiaowan Wang
This map shows the geographic impact of Xiaowan 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 Xiaowan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowan Wang more than expected).
Fields of papers citing papers by Xiaowan Wang
This network shows the impact of papers produced by Xiaowan 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 Xiaowan Wang. The network helps show where Xiaowan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowan 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 95 | |
| 2 | 2020 | 88 | |
| 3 | 2019 | 76 | |
| 4 | 2017 | 69 | |
| 5 | 2023 | 62 | |
| 6 | 2020 | 53 | |
| 7 | 2014 | 46 | |
| 8 | 2020 | 44 | |
| 9 | 2021 | 44 | |
| 10 | 2014 | 36 | |
| 11 | 2018 | 35 | |
| 12 | 2023 | 35 | |
| 13 | 2024 | 30 | |
| 14 | 2015 | 28 | |
| 15 | 2023 | 26 | |
| 16 | 2018 | 26 | |
| 17 | 2020 | 25 | |
| 18 | 2019 | 25 | |
| 19 | 2016 | 25 | |
| 20 | 2022 | 24 |
About Xiaowan Wang
Xiaowan Wang is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Physiology and Nephrology, having authored 124 papers that have together received 1.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Mitochondrial Function and Pathology (9 papers), Renal Diseases and Glomerulopathies (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Sirtuins and Resveratrol in Medicine (6 papers), Alzheimer's disease research and treatments (5 papers), Adipose Tissue and Metabolism (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Geriatrics and Gerontology (103 citations), Nephrology (88 citations), Periodontics (44 citations), Neurology (73 citations) and Physiology (40 citations). Xiaowan Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Shinghua Ding, Russell H. Swerdlow, Heather Wilkins, Hailong Li, Jingsheng Zhang, Wei Huang, Ian Weidling, Scott J. Koppel, Nannan Zhang and Xiaobin Dong. Their work appears in journals such as Scientific Reports, Journal of Alzheimer s Disease, Mitochondrion, International Journal of Biological Macromolecules and Journal of Ethnopharmacology.
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.