Gregory J. Raymond
- Neurology top 0.1%
- Neurological diseases and metabolism 26
- Nutrition and Dietetics top 0.1%
- Trace Elements in Health 22
- Molecular Biology top 0.5%
- Prion Diseases and Protein Misfolding 46
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 7
- RNA Research and Splicing 6
- RNA regulation and disease 5
- Physiology top 2%
- Virology top 5%
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- Infectious Encephalopathies and Encephalitis 5
- Co-authors
- Byron CaugheyDavid A. KociskoPeter T. LansburyRichard RaceBruce ChesebroRichard A. BessenAndrew G. HughsonSuzette A. Priola
- Journals
- Nature (4 papers)Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (3 papers)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Gregory J. Raymond
55 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Neurology 3.3k
- Nutrition and Dietetics 2.5k
- Molecular Biology 6.4k
- Physiology 875
- Virology 115
Countries citing papers authored by Gregory J. Raymond
This map shows the geographic impact of Gregory J. Raymond'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 Gregory J. Raymond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory J. Raymond more than expected).
Fields of papers citing papers by Gregory J. Raymond
This network shows the impact of papers produced by Gregory J. Raymond. 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 Gregory J. Raymond. The network helps show where Gregory J. Raymond may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregory J. Raymond, 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 | 2022 | 61 | |
| 2 | 2017 | 16 | |
| 3 | 2017 | 1 | |
| 4 | 2017 | 43 | |
| 5 | 2012 | 31 | |
| 6 | Prion seeding activity in cerebrospinal fluid from sporadic Creutzfeldt-Jakob disease patients using real-time QuIC analysis: a potential new diagnostic test? | 2011 | 2 |
| 7 | 2011 | 190 | |
| 8 | 2007 | 40 | |
| 9 | The most infectious prion protein particlesbreakdown → | 2005 | 717 |
| 10 | 2002 | 62 | |
| 11 | 2001 | 50 | |
| 12 | 2001 | 49 | |
| 13 | 1999 | 26 | |
| 14 | 1997 | 38 | |
| 15 | 1997 | 197 | |
| 16 | 1997 | 15 | |
| 17 | 1995 | 155 | |
| 18 | 1994 | 201 | |
| 19 | 1988 | 28 | |
| 20 | 1987 | 9 |
About Gregory J. Raymond
Gregory J. Raymond is a scholar working on Neurology, Nutrition and Dietetics and Molecular Biology, having authored 55 papers that have together received 6.7k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (46 papers), Neurological diseases and metabolism (26 papers), Trace Elements in Health (22 papers), RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers), RNA regulation and disease (5 papers) and Infectious Encephalopathies and Encephalitis (5 papers). The work is most often cited by research in Neurology (3.3k citations), Nutrition and Dietetics (2.5k citations) and Molecular Biology (6.4k citations). Gregory J. Raymond has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Byron Caughey, David A. Kocisko, Peter T. Lansbury, Richard Race, Bruce Chesebro, Richard A. Bessen, Andrew G. Hughson, Suzette A. Priola, Jay R. Silveira and Stanley F. Hayes. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.