David Allsop
Impact in
- Physiology top 0.1%
- Alzheimer's disease research and treatments
- Neurology top 0.2%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Physiology 99
- Alzheimer's disease research and treatments 98
- Neurology 34
- Parkinson's Disease Mechanisms and Treatments 27
- Neurological disorders and treatments 9
- Neurological diseases and metabolism 8
- Co-authors
- John HardyOmar M. A. El‐AgnafBrian J. TabnerDavid M. A. MannKaterina E. PaleologouPenelope G. FouldsStuart TurnbullShu‐ichi Ikeda
- Journals
- Biochemical Society Transactions (10 papers)PLoS ONE (6 papers)Scientific Reports (5 papers)Acta Neuropathologica (5 papers)Neurobiology of Aging (5 papers)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
David Allsop
147 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Physiology 6.7k
- Neurology 3.4k
- Neurology 1.6k
- Biological Psychiatry 334
- Cellular and Molecular Neuroscience 1.8k
Countries citing papers authored by David Allsop
This map shows the geographic impact of David Allsop'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 David Allsop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Allsop more than expected).
Fields of papers citing papers by David Allsop
This network shows the impact of papers produced by David Allsop. 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 David Allsop. The network helps show where David Allsop may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Allsop, 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 | 2021 | 19 | |
| 2 | 2018 | 27 | |
| 3 | 2017 | 25 | |
| 4 | 2016 | 46 | |
| 5 | 2015 | 3 | |
| 6 | 2011 | 37 | |
| 7 | 2011 | 79 | |
| 8 | 2008 | 125 | |
| 9 | 2006 | 346 | |
| 10 | 2005 | 81 | |
| 11 | 2004 | 27 | |
| 12 | 2003 | 8 | |
| 13 | 2003 | 37 | |
| 14 | Gelatinase A not α-secretase? | 1994 | 1 |
| 15 | 1993 | 37 | |
| 16 | 1992 | 23 | |
| 17 | 1991 | 44 | |
| 18 | 1990 | 37 | |
| 19 | 1990 | 364 | |
| 20 | 1989 | 1 |
About David Allsop
David Allsop is a scholar working on Physiology, Neurology, Neurology, Pharmacology and Biophysics, having authored 148 papers that have together received 12.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (98 papers), Parkinson's Disease Mechanisms and Treatments (27 papers), Prion Diseases and Protein Misfolding (22 papers), Cholinesterase and Neurodegenerative Diseases (16 papers), Computational Drug Discovery Methods (13 papers), Neurological disorders and treatments (9 papers), Supramolecular Self-Assembly in Materials (9 papers) and Neurological diseases and metabolism (8 papers). The work is most often cited by research in Physiology (6.7k citations), Neurology (3.4k citations), Neurology (1.6k citations), Biological Psychiatry (334 citations) and Cellular and Molecular Neuroscience (1.8k citations). David Allsop has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include John Hardy, Omar M. A. El‐Agnaf, Brian J. Tabner, David M. A. Mann, Katerina E. Paleologou, Penelope G. Foulds, Stuart Turnbull, Shu‐ichi Ikeda, Nigel J. Fullwood and G.W. Roberts. Their work appears in journals such as Biochemical Society Transactions, PLoS ONE, Scientific Reports, Acta Neuropathologica and Neurobiology of Aging.
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.