Matthew J. Memoli
- Epidemiology top 2%
- Infectious Diseases top 1%
- Immunology top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Jeffery K. TaubenbergerDaniel S. ChertowDavid M. MorensTyler BristolLindsay CzajkowskiRani AthotaAlison HanSusan Reed
- Topics
- Influenza Virus Research Studies (35 papers)Respiratory viral infections research (29 papers)SARS-CoV-2 and COVID-19 Research (12 papers)
- Journals
- ScienceThe LancetJAMA
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Matthew J. Memoli
52 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Epidemiology 1.6k
- Infectious Diseases 997
- Immunology 548
- Molecular Biology 465
- Public Health, Environmental and Occupational Health 292
Countries citing papers authored by Matthew J. Memoli
This map shows the geographic impact of Matthew J. Memoli'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 J. Memoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Memoli more than expected).
Fields of papers citing papers by Matthew J. Memoli
This network shows the impact of papers produced by Matthew J. Memoli. 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 J. Memoli. The network helps show where Matthew J. Memoli may publish in the future.
Co-authorship network of co-authors of Matthew J. Memoli
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Memoli. A scholar is included among the top collaborators of Matthew J. Memoli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew J. Memoli. Matthew J. Memoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 107 | |
| 6 | 18 | |
| 7 | 45 | |
| 8 | 61 | |
| 9 | 29 | |
| 10 | 20 | |
| 11 | IgG antibodies to dengue enhanced for FcγRIIIA binding determine disease severitybreakdown → | 241 |
| 12 | 291 | |
| 13 | 32 | |
| 14 | 31 | |
| 15 | 60 | |
| 16 | 35 | |
| 17 | 125 | |
| 18 | 37 | |
| 19 | 47 | |
| 20 | 29 |
About Matthew J. Memoli
Matthew J. Memoli is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (35 papers), Respiratory viral infections research (29 papers) and SARS-CoV-2 and COVID-19 Research (12 papers). The work is most often cited by research in Infectious Diseases (997 citations), Epidemiology (1.6k citations) and Modeling and Simulation (158 citations). Matthew J. Memoli has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jeffery K. Taubenberger, Daniel S. Chertow, David M. Morens, Tyler Bristol, Lindsay Czajkowski, Rani Athota, Alison Han, Susan Reed, Hillery A. Harvey and Maryna C. Eichelberger. Their work appears in journals such as Science, The Lancet and JAMA.
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.