Finn Grey
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
- Epidemiology 32
- Cytomegalovirus and herpesvirus research 23
- Herpesvirus Infections and Treatments 12
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- RNA Interference and Gene Delivery 5
- RNA regulation and disease 4
- Co-authors
- Jay A. Nelson (6 shared papers)Heather L. Meyers (3 shared papers)Lauren M. Hook (4 shared papers)Rebecca S. Tirabassi (4 shared papers)Elizabeth White (1 shared paper)Deborah H. Spector (1 shared paper)Shannon K. McWeeney (2 shared papers)Guanming Wu (2 shared papers)
- Journals
- PLoS Pathogens (7 papers)Journal of General Virology (5 papers)Journal of Virology (5 papers)The Journal of Immunology (3 papers)mBio (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Finn Grey
39 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 75
- Cancer Research 674
- Epidemiology 865
- Parasitology 150
- Immunology 370
- Virology 71
Countries citing papers authored by Finn Grey
This map shows the geographic impact of Finn Grey'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 Finn Grey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Finn Grey more than expected).
Fields of papers citing papers by Finn Grey
This network shows the impact of papers produced by Finn Grey. 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 Finn Grey. The network helps show where Finn Grey may publish in the future.
Co-authors
The 25 scholars most cited alongside Finn Grey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 217 | |
| 2 | 2007 | 206 | |
| 3 | 2010 | 172 | |
| 4 | 2011 | 119 | |
| 5 | 2014 | 117 | |
| 6 | 2014 | 59 | |
| 7 | 2012 | 58 | |
| 8 | 2007 | 54 | |
| 9 | 2007 | 52 | |
| 10 | 2013 | 46 | |
| 11 | 2008 | 43 | |
| 12 | 2013 | 43 | |
| 13 | 2017 | 38 | |
| 14 | 2020 | 38 | |
| 15 | 2013 | 36 | |
| 16 | 2011 | 33 | |
| 17 | 2010 | 32 | |
| 18 | 2020 | 28 | |
| 19 | 2013 | 27 | |
| 20 | 2018 | 24 |
About Finn Grey
Finn Grey is a scholar working on Epidemiology, Molecular Biology, Cancer Research, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (23 papers), MicroRNA in disease regulation (12 papers), Herpesvirus Infections and Treatments (12 papers), RNA Interference and Gene Delivery (5 papers), Cancer-related molecular mechanisms research (4 papers), Vector-Borne Animal Diseases (4 papers), RNA regulation and disease (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Cancer Research (674 citations), Epidemiology (865 citations), Parasitology (150 citations), Immunology (370 citations) and Virology (71 citations). Finn Grey has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jay A. Nelson, Heather L. Meyers, Lauren M. Hook, Rebecca S. Tirabassi, Elizabeth White, Deborah H. Spector, Shannon K. McWeeney, Guanming Wu, Julie A. Saugstad and James C. Carrington. Their work appears in journals such as PLoS Pathogens, Journal of General Virology, Journal of Virology, The Journal of Immunology and mBio.
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.