Matthew Pine
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
-
- Immunotherapy and Immune Responses
Papers in
-
- Respiratory viral infections research 3
- Influenza Virus Research Studies 2
-
- 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)Victoria Rosado (2 shared papers)Alec W. Freyn (2 shared papers)Florian Krammer (2 shared papers)Raffael Nachbagauer (2 shared papers)Peter Palese (2 shared papers)
- Journals
- Molecular Therapy (2 papers)Journal of Biomedical Materials Research Part B Applied Biomaterials (1 paper)Vaccine (1 paper)Molecular Therapy — Methods & Clinical Development (1 paper)
- Partner nations
- United StatesBrazil
In The Last Decade
Matthew Pine
5 papers receiving 313 citations
Matthew Pine's Hit Papers
Peers
Comparison fields: 5 of 45
- Infectious Diseases 147
- Immunology 78
- Animal Science and Zoology 39
- Epidemiology 100
- 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 | 218 |
| 2 | Development of an mRNA-lipid nanoparticle vaccine against Lyme disease Hit paper breakdown → | 2023 | 52 |
| 3 | 2021 | 27 | |
| 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 326 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 (147 citations), Immunology (78 citations), Animal Science and Zoology (39 citations), Epidemiology (100 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, Victoria Rosado, Alec W. Freyn, Florian Krammer, Raffael Nachbagauer, Peter Palese, Barbara L. Mui and Luís Carlos de Souza Ferreira. Their work appears in journals such as Molecular Therapy, Journal of Biomedical Materials Research Part B Applied Biomaterials, Vaccine and Molecular Therapy — Methods & Clinical Development.
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.