Matt Coffey
Impact in
- Genetics top 0.5%
- Virus-based gene therapy research
- Biotechnology top 0.5%
- Cancer Research and Treatments
Papers in
- Genetics 80
- Virus-based gene therapy research 79
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- Viral gastroenteritis research and epidemiology 44
- Co-authors
- Kevin J. Harrington (39 shared papers)Alan Melcher (38 shared papers)Richard G. Vile (33 shared papers)Hardev Pandha (30 shared papers)Katie Twigger (10 shared papers)Johann S. de Bono (11 shared papers)Peter J. Selby (16 shared papers)Fiona Errington‐Mais (15 shared papers)
- Journals
- Clinical Cancer Research (14 papers)Journal of Clinical Oncology (8 papers)Molecular Therapy (8 papers)Blood (5 papers)Cancer Immunology Research (5 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Matt Coffey
93 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 73
- Genetics 2.8k
- Biotechnology 741
- Oncology 1.8k
- Infectious Diseases 966
- Immunology 572
Countries citing papers authored by Matt Coffey
This map shows the geographic impact of Matt Coffey'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 Matt Coffey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Coffey more than expected).
Fields of papers citing papers by Matt Coffey
This network shows the impact of papers produced by Matt Coffey. 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 Matt Coffey. The network helps show where Matt Coffey may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt Coffey, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 224 | |
| 2 | 2008 | 186 | |
| 3 | 2015 | 157 | |
| 4 | 2012 | 154 | |
| 5 | 2008 | 152 | |
| 6 | 2008 | 152 | |
| 7 | 2019 | 152 | |
| 8 | 2012 | 126 | |
| 9 | 2008 | 126 | |
| 10 | 2014 | 123 | |
| 11 | 2010 | 111 | |
| 12 | 2010 | 99 | |
| 13 | 2020 | 97 | |
| 14 | 2010 | 95 | |
| 15 | 2012 | 90 | |
| 16 | 2008 | 89 | |
| 17 | 2016 | 83 | |
| 18 | 2009 | 82 | |
| 19 | 2010 | 79 | |
| 20 | 2010 | 68 |
About Matt Coffey
Matt Coffey is a scholar working on Genetics, Infectious Diseases, Biotechnology, Oncology and Immunology, having authored 98 papers that have together received 3.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (79 papers), Viral gastroenteritis research and epidemiology (44 papers), Cancer Research and Treatments (38 papers), CAR-T cell therapy research (15 papers), Immunotherapy and Immune Responses (8 papers), Animal Virus Infections Studies (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Genetics (2.8k citations), Biotechnology (741 citations), Oncology (1.8k citations), Infectious Diseases (966 citations) and Immunology (572 citations). Matt Coffey has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Kevin J. Harrington, Alan Melcher, Richard G. Vile, Hardev Pandha, Katie Twigger, Johann S. de Bono, Peter J. Selby, Fiona Errington‐Mais, Brad Thompson and Timothy Kottke. Their work appears in journals such as Clinical Cancer Research, Journal of Clinical Oncology, Molecular Therapy, Blood and Cancer Immunology 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.