Matthew Woods
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- interferon and immune responses
- Immune Cell Function and Interaction
Papers in
-
- Glycosylation and Glycoproteins Research 1
- Virology 6
- HIV Research and Treatment 6
- Co-authors
- Stephen D. Barr (5 shared papers)Jenna N. Kelly (2 shared papers)Li Xu (1 shared paper)Zhijian Lu (1 shared paper)Davinder Gill (1 shared paper)Amy King (1 shared paper)Graeme Quest (1 shared paper)Wei Liu (1 shared paper)
- Journals
- American Journal of Reproductive Immunology (3 papers)Molecular BioSystems (2 papers)Retrovirology (2 papers)Journal of Virology (2 papers)Journal of Reproductive Immunology (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Matthew Woods
22 papers receiving 495 citations
Peers
Comparison fields: 5 of 71
- Virology 116
- Immunology 150
- Infectious Diseases 72
- Microbiology 21
- Molecular Biology 230
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 | 26 | |
| 9 | 2014 | 20 | |
| 10 | 2017 | 15 | |
| 11 | 2018 | 14 | |
| 12 | 2011 | 14 | |
| 13 | 2014 | 13 | |
| 14 | 2020 | 10 | |
| 15 | 2014 | 10 | |
| 16 | 2018 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2017 | 6 | |
| 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, Virology, Immunology, Infectious Diseases and Oncology, having authored 22 papers that have together received 497 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), interferon and immune responses (2 papers), Reproductive System and Pregnancy (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Biblical Studies and Interpretation (1 paper), Virology and Viral Diseases (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Virology (116 citations), Immunology (150 citations), Infectious Diseases (72 citations), Microbiology (21 citations) and Molecular Biology (230 citations). Matthew Woods has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Stephen D. Barr, Jenna N. Kelly, Li Xu, Zhijian Lu, Davinder Gill, Amy King, Graeme Quest, Wei Liu, James R. Smiley and Mark R.H. Krebs. Their work appears in journals such as American Journal of Reproductive Immunology, Molecular BioSystems, Retrovirology, Journal of Virology and Journal of Reproductive Immunology.
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.