Sarah Perrett
Impact in
- Materials Chemistry top 0.5%
- Advanced Nanomaterials in Catalysis
- Nanocluster Synthesis and Applications
- Molecular Biology top 1%
- Advanced biosensing and bioanalysis techniques
- Protein Structure and Dynamics
- Heat shock proteins research
Papers in
- Neurology 14
- Neurological diseases and metabolism 13
-
- Prion Diseases and Protein Misfolding 33
- Heat shock proteins research 27
- Protein Structure and Dynamics 21
- RNA Research and Splicing 7
- Co-authors
- Xiyun YanJie ZhuangJing FengLizeng GaoYu ZhangNing GuJinbin ZhangLeng Nie
- Journals
- Journal of Biological Chemistry (18 papers)Journal of Molecular Biology (7 papers)Proceedings of the National Academy of Sciences (3 papers)Biochemical Society Transactions (3 papers)Protein Science (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Sarah Perrett
98 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Materials Chemistry 6.3k
- Molecular Biology 5.9k
- Biomedical Engineering 2.0k
- Electrical and Electronic Engineering 2.6k
- Biomaterials 548
Countries citing papers authored by Sarah Perrett
This map shows the geographic impact of Sarah Perrett'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 Sarah Perrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Perrett more than expected).
Fields of papers citing papers by Sarah Perrett
This network shows the impact of papers produced by Sarah Perrett. 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 Sarah Perrett. The network helps show where Sarah Perrett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarah Perrett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 20 | |
| 3 | 2020 | 16 | |
| 4 | 2020 | 3 | |
| 5 | 2020 | 23 | |
| 6 | 2020 | 133 | |
| 7 | 2019 | 18 | |
| 8 | 2017 | 7 | |
| 9 | 2014 | 38 | |
| 10 | 2013 | 14 | |
| 11 | 2013 | 29 | |
| 12 | 2012 | 23 | |
| 13 | 2011 | 6 | |
| 14 | 2010 | 27 | |
| 15 | 2010 | 9 | |
| 16 | 2009 | 37 | |
| 17 | 2008 | 34 | |
| 18 | 2006 | 33 | |
| 19 | 2004 | 51 | |
| 20 | 1995 | 61 |
About Sarah Perrett
Sarah Perrett is a scholar working on Neurology, Molecular Biology, Nutrition and Dietetics, Aging and Physiology, having authored 100 papers that have together received 9.5k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (33 papers), Heat shock proteins research (27 papers), Protein Structure and Dynamics (21 papers), Trace Elements in Health (19 papers), Alzheimer's disease research and treatments (18 papers), Neurological diseases and metabolism (13 papers), Enzyme Structure and Function (13 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Materials Chemistry (6.3k citations), Molecular Biology (5.9k citations), Biomedical Engineering (2.0k citations), Electrical and Electronic Engineering (2.6k citations) and Biomaterials (548 citations). Sarah Perrett has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xiyun Yan, Jie Zhuang, Jing Feng, Lizeng Gao, Yu Zhang, Ning Gu, Jinbin Zhang, Leng Nie, Dongling Yang and Taihong Wang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Biochemical Society Transactions and Protein 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.