Sharon X. Xie
- Neurology top 0.05%
- Physiology top 0.2%
- Psychiatry and Mental health top 0.2%
- Cognitive Neuroscience top 1%
- Molecular Biology top 5%
- Co-authors
- John Q. TrojanowskiDaniel WeintraubVirginia M.‐Y. LeeAndrew SiderowfSteven E. ArnoldMurray GrossmanDavid A. WolkJun J. Mao
- Topics
- Alzheimer's disease research and treatments (80 papers)Dementia and Cognitive Impairment Research (79 papers)Parkinson's Disease Mechanisms and Treatments (74 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Sharon X. Xie
218 papers receiving 14.8k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Neurology 5.6k
- Physiology 4.9k
- Psychiatry and Mental health 3.9k
- Cognitive Neuroscience 2.1k
- Molecular Biology 1.9k
Countries citing papers authored by Sharon X. Xie
This map shows the geographic impact of Sharon X. Xie'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 Sharon X. Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharon X. Xie more than expected).
Fields of papers citing papers by Sharon X. Xie
This network shows the impact of papers produced by Sharon X. Xie. 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 Sharon X. Xie. The network helps show where Sharon X. Xie may publish in the future.
Co-authorship network of co-authors of Sharon X. Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Sharon X. Xie. A scholar is included among the top collaborators of Sharon X. Xie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sharon X. Xie. Sharon X. Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 56 | |
| 8 | 5 | |
| 9 | 9 | |
| 10 | 45 | |
| 11 | 52 | |
| 12 | 21 | |
| 13 | 23 | |
| 14 | 281 | |
| 15 | 36 | |
| 16 | 62 | |
| 17 | 3 | |
| 18 | 17 | |
| 19 | 40 | |
| 20 | RECALIBRATION BASED ON AN APPROXIMATE RELATIVE RISK ESTIMATOR IN COX REGRESSION WITH MISSING COVARIATES | 9 |
About Sharon X. Xie
Sharon X. Xie is a scholar working on Psychiatry and Mental health, Neurology and Physiology, having authored 223 papers that have together received 15.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (80 papers), Dementia and Cognitive Impairment Research (79 papers) and Parkinson's Disease Mechanisms and Treatments (74 papers). The work is most often cited by research in Neurology (5.6k citations), Psychiatry and Mental health (3.9k citations) and Neurology (1.9k citations). Sharon X. Xie has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John Q. Trojanowski, Daniel Weintraub, Virginia M.‐Y. Lee, Andrew Siderowf, Steven E. Arnold, Murray Grossman, David A. Wolk, Jun J. Mao, Vivianna M. Van Deerlin and Jon B. Toledo. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical Investigation.
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.