Matt Ardito

578 total citations
11 papers, 437 citations indexed

About

Matt Ardito is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matt Ardito has authored 11 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matt Ardito's work include vaccines and immunoinformatics approaches (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immunotherapy and Immune Responses (3 papers). Matt Ardito is often cited by papers focused on vaccines and immunoinformatics approaches (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immunotherapy and Immune Responses (3 papers). Matt Ardito collaborates with scholars based in United States, United Kingdom and Japan. Matt Ardito's co-authors include Anne S. De Groot, Leonard Moise, William Martin, Andrés H. Gutiérrez, Frances Terry, Guilhem Richard, Ted M. Ross, Yoshimasa Takahashi, Carolyn M. Nielsen and Simon J. Draper and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Advanced Drug Delivery Reviews.

In The Last Decade

Matt Ardito

11 papers receiving 417 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matt Ardito United States 10 259 197 149 117 77 11 437
Alec W. Freyn United States 9 192 0.7× 168 0.9× 218 1.5× 59 0.5× 170 2.2× 13 475
Karen L. Saye-Francisco United States 9 273 1.1× 266 1.4× 107 0.7× 273 2.3× 167 2.2× 10 670
Gunnveig Grødeland Norway 14 158 0.6× 309 1.6× 166 1.1× 58 0.5× 142 1.8× 33 556
Julianna Han United States 11 249 1.0× 197 1.0× 276 1.9× 54 0.5× 126 1.6× 26 519
Torben Schiffner United States 13 176 0.7× 244 1.2× 98 0.7× 107 0.9× 123 1.6× 20 513
Anne Zhao Australia 7 230 0.9× 376 1.9× 176 1.2× 44 0.4× 85 1.1× 9 612
Lilia K. Koriazova United States 9 171 0.7× 174 0.9× 278 1.9× 70 0.6× 52 0.7× 14 486
Jody Manischewitz United States 11 156 0.6× 305 1.5× 259 1.7× 136 1.2× 70 0.9× 14 559
Mehdi Houimel Tunisia 9 131 0.5× 110 0.6× 91 0.6× 123 1.1× 54 0.7× 16 360
Deepika Bhullar United States 5 213 0.8× 310 1.6× 83 0.6× 119 1.0× 115 1.5× 5 549

Countries citing papers authored by Matt Ardito

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matt Ardito

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Ardito. A scholar is included among the top collaborators of Matt Ardito 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 Matt Ardito. Matt Ardito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Gutiérrez, Andrés H., et al.. (2024). In silico methods for immunogenicity risk assessment and human homology screening for therapeutic antibodies. mAbs. 16(1). 2333729–2333729. 13 indexed citations
2.
Groot, Anne S. De, Ankit K. Desai, S. M. Shahjahan Miah, et al.. (2021). Immune Tolerance-Adjusted Personalized Immunogenicity Prediction for Pompe Disease. Frontiers in Immunology. 12. 636731–636731. 14 indexed citations
3.
Moise, Leonard, et al.. (2020). New Immunoinformatics Tools for Swine: Designing Epitope-Driven Vaccines, Predicting Vaccine Efficacy, and Making Vaccines on Demand. Frontiers in Immunology. 11. 563362–563362. 15 indexed citations
4.
Groot, Anne S. De, Leonard Moise, Frances Terry, et al.. (2020). Better Epitope Discovery, Precision Immune Engineering, and Accelerated Vaccine Design Using Immunoinformatics Tools. Frontiers in Immunology. 11. 442–442. 114 indexed citations
5.
6.
Losikoff, Phyllis, Frances Terry, Andrés H. Gutiérrez, et al.. (2014). HCV epitope, homologous to multiple human protein sequences, induces a regulatory T cell response in infected patients. Journal of Hepatology. 62(1). 48–55. 38 indexed citations
7.
Schanen, Brian, Anne S. De Groot, Leonard Moise, et al.. (2011). Coupling sensitive in vitro and in silico techniques to assess cross-reactive CD4+ T cells against the swine-origin H1N1 influenza virus. Vaccine. 29(17). 3299–3309. 53 indexed citations
8.
Inaba, Hidefumi, William Martin, Matt Ardito, Anne S. De Groot, & Leslie J. De Groot. (2010). The Role of Glutamic or Aspartic Acid in Position Four of the Epitope Binding Motif and Thyrotropin Receptor-Extracellular Domain Epitope Selection in Graves’ Disease. The Journal of Clinical Endocrinology & Metabolism. 95(6). 2909–2916. 16 indexed citations
9.
10.
Ardito, Matt, et al.. (2009). T cell epitope: Friend or Foe? Immunogenicity of biologics in context☆. Advanced Drug Delivery Reviews. 61(11). 965–976. 80 indexed citations
11.
Moise, Leonard, Matt Ardito, Jill Schriewer, et al.. (2009). Immunome-derived Epitope-driven Vaccines (ID-EDV) Protect against Viral or Bacterial Challenge in Humanized Mice. 1(1). 15–22. 2 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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