Mitchell Beattie
Impact in
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- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
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- Immunotherapy and Immune Responses
Papers in
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- Influenza Virus Research Studies 3
- Respiratory viral infections research 3
- Cytomegalovirus and herpesvirus research 1
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- RNA Interference and Gene Delivery 3
- Co-authors
- Ying K. Tam (6 shared papers)Norbert Pardi (5 shared papers)Drew Weissman (4 shared papers)Fatima Rizvi (2 shared papers)Anna R. Smith (2 shared papers)Valerie Gouon–Evans (2 shared papers)Hua Liu (1 shared paper)Paulo J.C. Lin (3 shared papers)
- Journals
- Nature Biomedical Engineering (1 paper)Nature Communications (1 paper)Molecular Therapy — Nucleic Acids (1 paper)Science Advances (1 paper)Viruses (1 paper)
- Partner nations
- United StatesNetherlandsHungary
In The Last Decade
Mitchell Beattie
9 papers receiving 354 citations
Mitchell Beattie's Hit Papers
Peers
Comparison fields: 5 of 57
- Infectious Diseases 90
- Immunology 74
- Molecular Biology 222
- Animal Science and Zoology 28
- Hepatology 21
Countries citing papers authored by Mitchell Beattie
This map shows the geographic impact of Mitchell Beattie'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 Mitchell Beattie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Beattie more than expected).
Fields of papers citing papers by Mitchell Beattie
This network shows the impact of papers produced by Mitchell Beattie. 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 Mitchell Beattie. The network helps show where Mitchell Beattie may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell Beattie, 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 | Murine liver repair via transient activation of regenerative pathways in hepatocytes using lipid nanoparticle-complexed nucleoside-modified mRNA Hit paper breakdown → | 2021 | 103 |
| 2 | 2021 | 75 | |
| 3 | 2022 | 53 | |
| 4 | 2022 | 32 | |
| 5 | 2022 | 27 | |
| 6 | 2021 | 26 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 13 | |
| 9 | 2021 | 8 |
About Mitchell Beattie
Mitchell Beattie is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Genetics and Animal Science and Zoology, having authored 9 papers that have together received 357 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), Influenza Virus Research Studies (3 papers), Respiratory viral infections research (3 papers), Animal Virus Infections Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Infectious Diseases (90 citations), Immunology (74 citations), Molecular Biology (222 citations), Animal Science and Zoology (28 citations) and Hepatology (21 citations). Mitchell Beattie has collaborated with scholars based in United States, Netherlands and Hungary. Frequent co-authors include Ying K. Tam, Norbert Pardi, Drew Weissman, Fatima Rizvi, Anna R. Smith, Valerie Gouon–Evans, Hua Liu, Paulo J.C. Lin, Hiromi Muramatsu and Florian Krammer. Their work appears in journals such as Nature Biomedical Engineering, Nature Communications, Molecular Therapy — Nucleic Acids, Science Advances and Viruses.
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.