Matthew Pine
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
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- Immunotherapy and Immune Responses
Papers in
-
- Respiratory viral infections research 3
- Influenza Virus Research Studies 2
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- Viral gastroenteritis research and epidemiology 1
- Viral Infections and Vectors 1
- Co-authors
- Ying K. Tam (3 shared papers)Drew Weissman (2 shared papers)Norbert Pardi (2 shared papers)Raffael Nachbagauer (2 shared papers)Peter Palese (2 shared papers)Victoria Rosado (2 shared papers)Florian Krammer (2 shared papers)Alec W. Freyn (2 shared papers)
- Journals
- Molecular Therapy (2 papers)Molecular Therapy — Methods & Clinical Development (1 paper)Vaccine (1 paper)Journal of Biomedical Materials Research Part B Applied Biomaterials (1 paper)
- Partner nations
- United StatesBrazil
In The Last Decade
Matthew Pine
5 papers receiving 310 citations
Matthew Pine's Hit Papers
Peers
Comparison fields: 5 of 45
- Infectious Diseases 146
- Immunology 77
- Animal Science and Zoology 39
- Epidemiology 99
- Parasitology 20
Countries citing papers authored by Matthew Pine
This map shows the geographic impact of Matthew Pine'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 Pine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Pine more than expected).
Fields of papers citing papers by Matthew Pine
This network shows the impact of papers produced by Matthew Pine. 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 Pine. The network helps show where Matthew Pine may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Pine, 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 | A Multi-Targeting, Nucleoside-Modified mRNA Influenza Virus Vaccine Provides Broad Protection in Mice Hit paper breakdown → | 2020 | 216 |
| 2 | Development of an mRNA-lipid nanoparticle vaccine against Lyme disease Hit paper breakdown → | 2023 | 52 |
| 3 | 2021 | 26 | |
| 4 | 2018 | 17 | |
| 5 | 2018 | 12 |
About Matthew Pine
Matthew Pine is a scholar working on Epidemiology, Infectious Diseases, Surgery, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 5 papers that have together received 323 indexed citations. Recurring topics across this work include Respiratory viral infections research (3 papers), Influenza Virus Research Studies (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Tissue Engineering and Regenerative Medicine (1 paper), Mesenchymal stem cell research (1 paper), Vector-borne infectious diseases (1 paper) and Viral Infections and Vectors (1 paper). The work is most often cited by research in Infectious Diseases (146 citations), Immunology (77 citations), Animal Science and Zoology (39 citations), Epidemiology (99 citations) and Parasitology (20 citations). Matthew Pine has collaborated with scholars based in United States and Brazil. Frequent co-authors include Ying K. Tam, Drew Weissman, Norbert Pardi, Raffael Nachbagauer, Peter Palese, Victoria Rosado, Florian Krammer, Alec W. Freyn, Luís Carlos de Souza Ferreira and Barbara L. Mui. Their work appears in journals such as Molecular Therapy, Molecular Therapy — Methods & Clinical Development, Vaccine and Journal of Biomedical Materials Research Part B Applied Biomaterials.
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.