Rachel M. Bailey
- Molecular Biology top 10%
- Neurology top 2%
- Physiology top 5%
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Leonard PetrucelliDennis W. DicksonChad A. DickeyYong‐Jie ZhangSteven J. GrayCam PattersonYa-Fei XuJudith Dunmore
- Topics
- Parkinson's Disease Mechanisms and Treatments (7 papers)Alzheimer's disease research and treatments (6 papers)Hereditary Neurological Disorders (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Neuroscience
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Rachel M. Bailey
26 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.0k
- Neurology 663
- Physiology 575
- Cell Biology 348
- Cellular and Molecular Neuroscience 333
Countries citing papers authored by Rachel M. Bailey
This map shows the geographic impact of Rachel M. Bailey'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 Rachel M. Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel M. Bailey more than expected).
Fields of papers citing papers by Rachel M. Bailey
This network shows the impact of papers produced by Rachel M. Bailey. 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 Rachel M. Bailey. The network helps show where Rachel M. Bailey may publish in the future.
Co-authorship network of co-authors of Rachel M. Bailey
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel M. Bailey. A scholar is included among the top collaborators of Rachel M. Bailey 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 Rachel M. Bailey. Rachel M. Bailey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 22 | |
| 7 | 24 | |
| 8 | 53 | |
| 9 | 43 | |
| 10 | 87 | |
| 11 | 81 | |
| 12 | 26 | |
| 13 | 34 | |
| 14 | 45 | |
| 15 | 174 | |
| 16 | 319 | |
| 17 | 67 | |
| 18 | 65 | |
| 19 | The high-affinity HSP90-CHIP complex recognizes and selectively degrades phosphorylated tau client proteinsbreakdown → | 507 |
| 20 | 34 |
About Rachel M. Bailey
Rachel M. Bailey is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Alzheimer's disease research and treatments (6 papers) and Hereditary Neurological Disorders (6 papers). The work is most often cited by research in Neurology (663 citations), Neurology (207 citations) and Aging (42 citations). Rachel M. Bailey has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Leonard Petrucelli, Dennis W. Dickson, Chad A. Dickey, Yong‐Jie Zhang, Steven J. Gray, Cam Patterson, Ya-Fei Xu, Judith Dunmore, Sahana Nagabhushan Kalburgi and Francisco E. Baralle. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Neuroscience.
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.