Matthew Woods
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- interferon and immune responses
- Immune Cell Function and Interaction
Papers in
-
- RNA Research and Splicing 2
- Immunology 10
- interferon and immune responses 4
- Reproductive System and Pregnancy 4
- Co-authors
- Stephen D. Barr (5 shared papers)Jenna N. Kelly (2 shared papers)Graeme Quest (1 shared paper)Amy King (1 shared paper)Mark R.H. Krebs (1 shared paper)Wei Liu (1 shared paper)Li Xu (1 shared paper)James R. Smiley (1 shared paper)
- Journals
- American Journal of Reproductive Immunology (3 papers)Retrovirology (2 papers)Molecular BioSystems (2 papers)Journal of Virology (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- CanadaUnited StatesSouth Africa
In The Last Decade
Matthew Woods
22 papers receiving 486 citations
Peers
Comparison fields: 5 of 75
- Virology 123
- Immunology 168
- Infectious Diseases 83
- Molecular Biology 250
- Cancer Research 52
Countries citing papers authored by Matthew Woods
This map shows the geographic impact of Matthew Woods'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 Matthew Woods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Woods more than expected).
Fields of papers citing papers by Matthew Woods
This network shows the impact of papers produced by Matthew Woods. 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 Matthew Woods. The network helps show where Matthew Woods may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Woods, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 69 | |
| 2 | 2010 | 61 | |
| 3 | 2014 | 59 | |
| 4 | 2010 | 54 | |
| 5 | 2011 | 49 | |
| 6 | 2008 | 31 | |
| 7 | 2010 | 27 | |
| 8 | 2018 | 25 | |
| 9 | 2014 | 19 | |
| 10 | 2018 | 14 | |
| 11 | 2014 | 13 | |
| 12 | 2011 | 13 | |
| 13 | 2017 | 13 | |
| 14 | 2014 | 10 | |
| 15 | 2020 | 8 | |
| 16 | 2017 | 6 | |
| 17 | 2018 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2021 | 3 | |
| 20 | Vinca alkaloid ulceration: experimental mouse model and effects of local antidotes. Abstr. | 1982 | 2 |
About Matthew Woods
Matthew Woods is a scholar working on Molecular Biology, Immunology, Virology, Microbiology and Infectious Diseases, having authored 22 papers that have together received 488 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), interferon and immune responses (4 papers), Reproductive System and Pregnancy (4 papers), Reproductive tract infections research (3 papers), RNA Research and Splicing (2 papers), MicroRNA in disease regulation (1 paper), Lymphatic System and Diseases (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Virology (123 citations), Immunology (168 citations), Infectious Diseases (83 citations), Molecular Biology (250 citations) and Cancer Research (52 citations). Matthew Woods has collaborated with scholars based in Canada, United States and South Africa. Frequent co-authors include Stephen D. Barr, Jenna N. Kelly, Graeme Quest, Amy King, Mark R.H. Krebs, Wei Liu, Li Xu, James R. Smiley, Zhijian Lu and Davinder Gill. Their work appears in journals such as American Journal of Reproductive Immunology, Retrovirology, Molecular BioSystems, Journal of Virology and The Journal of Cell Biology.
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.