Matt Ardito
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- vaccines and immunoinformatics approaches 7
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- Immunotherapy and Immune Responses 3
- Biosimilars and Bioanalytical Methods 2
- Co-authors
- Anne S. De Groot (11 shared papers)Leonard Moise (6 shared papers)William Martin (9 shared papers)Andrés H. Gutiérrez (4 shared papers)Frances Terry (4 shared papers)Guilhem Richard (1 shared paper)Carolyn M. Nielsen (1 shared paper)Vaughan Wittman (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)Vaccine (2 papers)Advanced Drug Delivery Reviews (1 paper)mAbs (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Matt Ardito
11 papers receiving 417 citations
Peers
Comparison fields: 5 of 58
- Immunology 197
- Radiology, Nuclear Medicine and Imaging 117
- Epidemiology 149
- Infectious Diseases 77
- Molecular Biology 259
Countries citing papers authored by Matt Ardito
This map shows the geographic impact of Matt Ardito'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 Matt Ardito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Ardito more than expected).
Fields of papers citing papers by Matt Ardito
This network shows the impact of papers produced by Matt Ardito. 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 Matt Ardito. The network helps show where Matt Ardito may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt Ardito, 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 | 2020 | 114 | |
| 2 | 2009 | 82 | |
| 3 | 2009 | 80 | |
| 4 | 2011 | 53 | |
| 5 | 2014 | 38 | |
| 6 | 2010 | 16 | |
| 7 | 2020 | 15 | |
| 8 | 2021 | 14 | |
| 9 | 2024 | 13 | |
| 10 | 2014 | 10 | |
| 11 | 2009 | 2 |
About Matt Ardito
Matt Ardito is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Epidemiology and Hepatology, having authored 11 papers that have together received 437 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immunotherapy and Immune Responses (3 papers), Biosimilars and Bioanalytical Methods (2 papers), Hepatitis C virus research (2 papers), Influenza Virus Research Studies (2 papers), Lysosomal Storage Disorders Research (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Immunology (197 citations), Radiology, Nuclear Medicine and Imaging (117 citations), Epidemiology (149 citations), Infectious Diseases (77 citations) and Molecular Biology (259 citations). Matt Ardito has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Anne S. De Groot, Leonard Moise, William Martin, Andrés H. Gutiérrez, Frances Terry, Guilhem Richard, Carolyn M. Nielsen, Vaughan Wittman, Rebecca Ashfield and Donald R. Drake. Their work appears in journals such as Frontiers in Immunology, Vaccine, Advanced Drug Delivery Reviews, mAbs and Journal of Hepatology.
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.