Karen Hsiao
- Neurology top 0.05%
- Neurological diseases and metabolism 11
- Physiology top 0.1%
- Alzheimer's disease research and treatments 17
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders 2
- Cellular and Molecular Neuroscience top 0.5%
- Nuclear Receptors and Signaling 5
- Pharmacology top 0.2%
- Cholinesterase and Neurodegenerative Diseases 5
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- Prion Diseases and Protein Misfolding 22
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- Trace Elements in Health 10
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- Computational Drug Discovery Methods 4
- Co-authors
- Chris EckmanSteven G. YounkinFusheng YangGreg M. ColePaul F. ChapmanSteven P. NilsenYasuo HarigayaStanley B. Prusiner
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Karen Hsiao
36 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Neurology 3.9k
- Physiology 7.3k
- Biological Psychiatry 578
- Cellular and Molecular Neuroscience 2.7k
- Pharmacology 1.8k
Countries citing papers authored by Karen Hsiao
This map shows the geographic impact of Karen Hsiao'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 Karen Hsiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Hsiao more than expected).
Fields of papers citing papers by Karen Hsiao
This network shows the impact of papers produced by Karen Hsiao. 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 Karen Hsiao. The network helps show where Karen Hsiao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karen Hsiao, 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 | 2001 | 11 | |
| 2 | Impaired synaptic plasticity and learning in aged amyloid precursor protein transgenic micebreakdown → | 1999 | 773 |
| 3 | 1999 | 334 | |
| 4 | 1999 | 288 | |
| 5 | 1998 | 469 | |
| 6 | 1998 | 96 | |
| 7 | 1998 | 10 | |
| 8 | 1997 | 6 | |
| 9 | APPSW Transgenic Mice Develop Age-related Aβ Deposits and Neuropil Abnormalities, but no Neuronal Loss in CA1breakdown → | 1997 | 526 |
| 10 | 1997 | 169 | |
| 11 | 1997 | 131 | |
| 12 | Correlative Memory Deficits, Aβ Elevation, and Amyloid Plaques in Transgenic Micebreakdown → | 1996 | 3504 |
| 13 | 1995 | 442 | |
| 14 | 1994 | 7 | |
| 15 | 1992 | 174 | |
| 16 | 1991 | 120 | |
| 17 | 1991 | 207 | |
| 18 | 1991 | 8 | |
| 19 | 1991 | 12 | |
| 20 | 1988 | 42 |
About Karen Hsiao
Karen Hsiao is a scholar working on Neurology, Biological Psychiatry and Physiology, having authored 37 papers that have together received 11.6k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (22 papers), Alzheimer's disease research and treatments (17 papers), Neurological diseases and metabolism (11 papers), Trace Elements in Health (10 papers), Nuclear Receptors and Signaling (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Computational Drug Discovery Methods (4 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Neurology (3.9k citations), Physiology (7.3k citations) and Biological Psychiatry (578 citations). Karen Hsiao has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Chris Eckman, Steven G. Younkin, Fusheng Yang, Greg M. Cole, Paul F. Chapman, Steven P. Nilsen, Yasuo Harigaya, Stanley B. Prusiner, Michael C. Irizarry and David Borchelt. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.