Hua She
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in ⓘ
- Aging 1
-
- Nuclear Receptors and Signaling 6
- Nerve injury and regeneration 3
- Co-authors
- Zixu Mao (15 shared papers)Qian Yang (5 shared papers)Haidong Xu (4 shared papers)Manuel Yepes (2 shared papers)Emanuela Colla (1 shared paper)John J. Shacka (1 shared paper)Marla Gearing (1 shared paper)Michael K. Lee (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)The Journal of Cell Biology (1 paper)JAMA Network Open (1 paper)Autophagy (1 paper)Science (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hua She
31 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 112
- Neurology 218
- Neurology 303
- Physiology 81
- Cell Biology 270
- Geriatrics and Gerontology 64
Countries citing papers authored by Hua She
This map shows the geographic impact of Hua She'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 Hua She with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua She more than expected).
Fields of papers citing papers by Hua She
This network shows the impact of papers produced by Hua She. 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 Hua She. The network helps show where Hua She may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua She, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 253 | |
| 2 | 2011 | 219 | |
| 3 | 2017 | 213 | |
| 4 | 2011 | 133 | |
| 5 | 2017 | 105 | |
| 6 | 2007 | 84 | |
| 7 | 2021 | 71 | |
| 8 | 2015 | 63 | |
| 9 | 2013 | 60 | |
| 10 | 2009 | 50 | |
| 11 | 2019 | 46 | |
| 12 | 2012 | 39 | |
| 13 | 2022 | 33 | |
| 14 | 2018 | 29 | |
| 15 | 2011 | 19 | |
| 16 | 2012 | 19 | |
| 17 | 2012 | 16 | |
| 18 | 2010 | 13 | |
| 19 | 2007 | 12 | |
| 20 | 2010 | 10 |
About Hua She
Hua She is a scholar working on Aging, Cellular and Molecular Neuroscience, Neurology, Cell Biology and Neurology, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Nuclear Receptors and Signaling (6 papers), Neonatal Respiratory Health Research (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Nerve injury and regeneration (3 papers), Calpain Protease Function and Regulation (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Neurology (218 citations), Neurology (303 citations), Physiology (81 citations), Cell Biology (270 citations) and Geriatrics and Gerontology (64 citations). Hua She has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Zixu Mao, Qian Yang, Haidong Xu, Manuel Yepes, Emanuela Colla, John J. Shacka, Marla Gearing, Michael K. Lee, Wenming Li and Yingli He. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, JAMA Network Open, Autophagy and Science.
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.