Matthew J. Memoli

5.4k total citations · 1 hit paper
53 papers, 2.6k citations indexed

About

Matthew J. Memoli is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Matthew J. Memoli has authored 53 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Epidemiology, 21 papers in Infectious Diseases and 7 papers in Agronomy and Crop Science. Recurrent topics in Matthew J. Memoli's work include Influenza Virus Research Studies (35 papers), Respiratory viral infections research (29 papers) and SARS-CoV-2 and COVID-19 Research (12 papers). Matthew J. Memoli is often cited by papers focused on Influenza Virus Research Studies (35 papers), Respiratory viral infections research (29 papers) and SARS-CoV-2 and COVID-19 Research (12 papers). Matthew J. Memoli collaborates with scholars based in United States, United Kingdom and Netherlands. Matthew J. Memoli's 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 and has published in prestigious journals such as Science, The Lancet and JAMA.

In The Last Decade

Matthew J. Memoli

52 papers receiving 2.5k citations

Hit Papers

IgG antibodies to dengue enhanced for FcγRIIIA binding de... 2017 2026 2020 2023 2017 50 100 150 200

Peers

Matthew J. Memoli
Sook‐San Wong United States
Natalie Pica United States
Karen Laurie Australia
Aneesh K. Mehta United States
Alison Bermingham United Kingdom
Leatrice Vogel United States
Nadine Rouphael United States
Fatima Amanat United States
Sook‐San Wong United States
Matthew J. Memoli
Citations per year, relative to Matthew J. Memoli Matthew J. Memoli (= 1×) peers Sook‐San Wong

Countries citing papers authored by Matthew J. Memoli

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Giurgea, Luca T., Alison Han, Lindsay Czajkowski, et al.. (2025). 593. Randomized, Double-Blinded, Placebo-Controlled, Phase 1 Study of the Safety of BPL-1357, A BPL-Inactivated, Whole-Virus, Universal Influenza Vaccine. Open Forum Infectious Diseases. 12(Supplement_1). 1 indexed citations
2.
Pérez‐Díez, Ainhoa, Xiangdong Liu, Andrea Lisco, et al.. (2024). Prevalence of anti-lymphocyte IgM autoantibodies driving complement activation in COVID-19 patients. Frontiers in Immunology. 15. 1352330–1352330.
3.
Pérez‐Díez, Ainhoa, Xiangdong Liu, Andrea Lisco, et al.. (2023). Prevalence and complement activation of anti-lymphocyte IgM antibodies in hospitalized COVID-19 patients. The Journal of Immunology. 210(Supplement_1). 75.26–75.26. 1 indexed citations
4.
Friedman-Klabanoff, DeAnna, Megan Birkhold, Timothy R. Wilson, et al.. (2022). Safety and immunogenicity of AGS-v PLUS, a mosquito saliva peptide vaccine against arboviral diseases: A randomized, double-blind, placebo-controlled Phase 1 trial. EBioMedicine. 86. 104375–104375. 15 indexed citations
5.
Hicks, Jennifer, Carleen Klumpp‐Thomas, Heather Kalish, et al.. (2021). Serologic Cross-Reactivity of SARS-CoV-2 with Endemic and Seasonal Betacoronaviruses. Journal of Clinical Immunology. 41(5). 906–913. 107 indexed citations
6.
Klumpp‐Thomas, Carleen, Heather Kalish, Jennifer Hicks, et al.. (2020). Effect of D614G Spike Variant on Immunoglobulin G, M, or A Spike Seroassay Performance. The Journal of Infectious Diseases. 223(5). 802–804. 18 indexed citations
7.
Manning, Jessica E., Fabiano Oliveira, Iliano V. Coutinho-Abreu, et al.. (2020). Safety and immunogenicity of a mosquito saliva peptide-based vaccine: a randomised, placebo-controlled, double-blind, phase 1 trial. The Lancet. 395(10242). 1998–2007. 45 indexed citations
8.
Pleguezuelos, Olga, Emma L. James, Ana M. Fernández, et al.. (2020). Efficacy of FLU-v, a broad-spectrum influenza vaccine, in a randomized phase IIb human influenza challenge study. npj Vaccines. 5(1). 22–22. 61 indexed citations
9.
Giurgea, Luca T., Alison Han, & Matthew J. Memoli. (2020). Universal coronavirus vaccines: the time to start is now. npj Vaccines. 5(1). 43–43. 29 indexed citations
10.
Han, Alison, Jiat Ling Poon, John H. Powers, et al.. (2018). Using the Influenza Patient-reported Outcome (FLU-PRO) diary to evaluate symptoms of influenza viral infection in a healthy human challenge model. BMC Infectious Diseases. 18(1). 353–353. 20 indexed citations
11.
Wang, Taia T., Jaturong Sewatanon, Matthew J. Memoli, et al.. (2017). IgG antibodies to dengue enhanced for FcγRIIIA binding determine disease severity. Science. 355(6323). 395–398. 241 indexed citations breakdown →
12.
Chertow, Daniel S. & Matthew J. Memoli. (2013). Bacterial Coinfection in Influenza. JAMA. 309(3). 275–275. 291 indexed citations
13.
Memoli, Matthew J., Hillery A. Harvey, David M. Morens, & Jeffery K. Taubenberger. (2012). Influenza in pregnancy. Influenza and Other Respiratory Viruses. 7(6). 1033–1039. 32 indexed citations
14.
Kash, John C., Li Qi, Vivien G. Dugan, et al.. (2010). Prior infection with classical swine H1N1 influenza viruses is associated with protective immunity to the 2009 pandemic H1N1 virus. Influenza and Other Respiratory Viruses. 4(3). 121–127. 31 indexed citations
15.
Memoli, Matthew J., et al.. (2010). MultiDrug-Resistant 2009 Pandemic Influenza A(H1N1) Viruses Maintain Fitness and Transmissibility in Ferrets. The Journal of Infectious Diseases. 203(3). 348–357. 60 indexed citations
16.
Memoli, Matthew J., et al.. (2010). Rapid Selection of a Transmissible Multidrug‐Resistant Influenza A/H3N2 Virus in an Immunocompromised Host. The Journal of Infectious Diseases. 201(9). 1397–1403. 35 indexed citations
17.
Memoli, Matthew J., et al.. (2010). Rapid Selection of Oseltamivir‐ and Peramivir‐Resistant Pandemic H1N1 Virus during Therapy in 2 Immunocompromised Hosts. Clinical Infectious Diseases. 50(9). 1252–1255. 125 indexed citations
18.
Memoli, Matthew J., et al.. (2009). Recent Human Influenza A/H3N2 Virus Evolution Driven by Novel Selection Factors in Addition to Antigenic Drift. The Journal of Infectious Diseases. 200(8). 1232–1241. 37 indexed citations
19.
Memoli, Matthew J., Terrence M. Tumpey, Brett W. Jagger, et al.. (2009). An early ‘classical’ swine H1N1 influenza virus shows similar pathogenicity to the 1918 pandemic virus in ferrets and mice. Virology. 393(2). 338–345. 47 indexed citations
20.
Vázquez, Susana, Patricio Yankilevich, Silvia H. Coria, et al.. (2008). Bizionia argentinensis sp. nov., isolated from surface marine water in Antarctica. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 58(10). 2363–2367. 29 indexed citations

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.

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