Guy Prihar
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
Papers in
- Physiology 10
- Alzheimer's disease research and treatments 10
-
- Cholinesterase and Neurodegenerative Diseases 4
- Co-authors
- John Hardy (9 shared papers)Richard Crook (8 shared papers)Henry Houlden (5 shared papers)Matt C. Baker (2 shared papers)Andrew Grover (3 shared papers)Mike Hutton (2 shared papers)Karen Duff (2 shared papers)Stuart M. Pickering-Brown (1 shared paper)
- Journals
- Neuroreport (6 papers)Nature Genetics (1 paper)Nature Medicine (1 paper)Journal of Biological Chemistry (1 paper)Annals of Neurology (1 paper)
- Partner nations
- United StatesUnited KingdomColombia
In The Last Decade
Guy Prihar
13 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 68
- Physiology 1.3k
- Neurology 176
- Pharmacology 352
- Cellular and Molecular Neuroscience 328
- Neurology 192
Countries citing papers authored by Guy Prihar
This map shows the geographic impact of Guy Prihar'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 Guy Prihar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Prihar more than expected).
Fields of papers citing papers by Guy Prihar
This network shows the impact of papers produced by Guy Prihar. 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 Guy Prihar. The network helps show where Guy Prihar may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Prihar, 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 | 1995 | 418 | |
| 2 | 1999 | 249 | |
| 3 | 1995 | 231 | |
| 4 | 1997 | 191 | |
| 5 | 1996 | 170 | |
| 6 | 1996 | 132 | |
| 7 | 1998 | 59 | |
| 8 | 1999 | 54 | |
| 9 | 1994 | 51 | |
| 10 | 1996 | 47 | |
| 11 | 1996 | 39 | |
| 12 | 1995 | 16 | |
| 13 | 1999 | 9 | |
| 14 | 2000 | 0 |
About Guy Prihar
Guy Prihar is a scholar working on Physiology, Pharmacology, Molecular Biology, Computational Theory and Mathematics and Neurology, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), RNA Research and Splicing (3 papers), 14-3-3 protein interactions (2 papers), Bioinformatics and Genomic Networks (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Computational Drug Discovery Methods (2 papers) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Physiology (1.3k citations), Neurology (176 citations), Pharmacology (352 citations), Cellular and Molecular Neuroscience (328 citations) and Neurology (192 citations). Guy Prihar has collaborated with scholars based in United States, United Kingdom and Colombia. Frequent co-authors include John Hardy, Richard Crook, Henry Houlden, Matt C. Baker, Andrew Grover, Mike Hutton, Karen Duff, Stuart M. Pickering-Brown, Jada M. Lewis and Jennifer L. Adamson. Their work appears in journals such as Neuroreport, Nature Genetics, Nature Medicine, Journal of Biological Chemistry and Annals of Neurology.
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.