Michael A. Angelo

1.8k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Michael A. Angelo is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Virology. According to data from OpenAlex, Michael A. Angelo has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 8 papers in Infectious Diseases and 5 papers in Virology. Recurrent topics in Michael A. Angelo's work include Mosquito-borne diseases and control (12 papers), Viral Infections and Vectors (8 papers) and Malaria Research and Control (8 papers). Michael A. Angelo is often cited by papers focused on Mosquito-borne diseases and control (12 papers), Viral Infections and Vectors (8 papers) and Malaria Research and Control (8 papers). Michael A. Angelo collaborates with scholars based in United States, Australia and Sri Lanka. Michael A. Angelo's co-authors include John Sidney, Alessandro Sette, Daniela Weiskopf, Bjoern Peters, Aruna Dharshan De Silva, Sinu Paul, Sujan Shresta, Ravi V. Kolla, Jason Greenbaum and Howard M. Grey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Virology.

In The Last Decade

Michael A. Angelo

15 papers receiving 1.3k citations

Hit Papers

Comprehensive analysis of dengue virus-specific responses... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael A. Angelo United States 11 853 832 354 293 161 15 1.3k
Eugenia Z. Ong Singapore 18 475 0.6× 758 0.9× 241 0.7× 307 1.0× 121 0.8× 34 1.1k
Kuan Rong Chan Singapore 19 514 0.6× 577 0.7× 174 0.5× 219 0.7× 145 0.9× 50 953
Xavier Carnec France 13 578 0.7× 750 0.9× 178 0.5× 304 1.0× 193 1.2× 19 1.2k
James E. Voss United States 15 630 0.7× 697 0.8× 409 1.2× 306 1.0× 207 1.3× 22 1.4k
Jaturong Sewatanon Thailand 8 484 0.6× 486 0.6× 134 0.4× 132 0.5× 221 1.4× 10 792
Laura A. VanBlargan United States 13 218 0.3× 1.4k 1.7× 421 1.2× 200 0.7× 149 0.9× 21 1.6k
Douglas G. Widman United States 20 800 0.9× 712 0.9× 196 0.6× 213 0.7× 286 1.8× 29 1.2k
Anira N. Fernando United Kingdom 5 367 0.4× 366 0.4× 163 0.5× 141 0.5× 73 0.5× 5 612
Wiyada Wongwiwat Thailand 14 1.3k 1.6× 1.1k 1.4× 188 0.5× 103 0.4× 345 2.1× 18 1.6k

Countries citing papers authored by Michael A. Angelo

Since Specialization
Citations

This map shows the geographic impact of Michael A. Angelo'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 Michael A. Angelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Angelo more than expected).

Fields of papers citing papers by Michael A. Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Angelo. 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 Michael A. Angelo. The network helps show where Michael A. Angelo may publish in the future.

Co-authorship network of co-authors of Michael A. Angelo

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

All Works

15 of 15 papers shown
1.
Mateus, José, Alba Grifoni, Michael A. Angelo, et al.. (2020). Identification of Novel Yellow Fever Class II Epitopes in YF-17D Vaccinees. Viruses. 12(11). 1300–1300. 7 indexed citations
2.
Grifoni, Alba, Daniela Weiskopf, Véronique Schulten, et al.. (2018). Sequence-based HLA-A, B, C, DP, DQ, and DR typing of 496 adults from San Diego, California, USA. Human Immunology. 79(12). 821–822. 11 indexed citations
3.
Grifoni, Alba, Daniela Weiskopf, Cecilia S. Lindestam Arlehamn, et al.. (2017). Sequence-based HLA-A, B, C, DP, DQ, and DR typing of 714 adults from Colombo, Sri Lanka. Human Immunology. 79(2). 87–88. 4 indexed citations
4.
Weiskopf, Daniela, Alba Grifoni, Cecilia S. Lindestam Arlehamn, et al.. (2017). Sequence-based HLA-A, B, C, DP, DQ, and DR typing of 339 adults from Managua, Nicaragua. Human Immunology. 79(1). 1–2. 8 indexed citations
5.
Grifoni, Alba, Michael A. Angelo, John Sidney, et al.. (2017). Patterns of Cellular Immunity Associated with Experimental Infection with rDEN2Δ30 (Tonga/74) Support Its Suitability as a Human Dengue Virus Challenge Strain. Journal of Virology. 91(8). 19 indexed citations
6.
Angelo, Michael A., Alba Grifoni, Patrick O’Rourke, et al.. (2017). Human CD4 + T Cell Responses to an Attenuated Tetravalent Dengue Vaccine Parallel Those Induced by Natural Infection in Magnitude, HLA Restriction, and Antigen Specificity. Journal of Virology. 91(5). 75 indexed citations
7.
Weiskopf, Daniela, Michael A. Angelo, Alba Grifoni, et al.. (2016). HLA-DRB1 Alleles Are Associated With Different Magnitudes of Dengue Virus–Specific CD4 + T-Cell Responses. The Journal of Infectious Diseases. 214(7). 1117–1124. 65 indexed citations
8.
Weiskopf, Daniela, Michael A. Angelo, Grégory Seumois, et al.. (2016). DENV-specific CD4 T-cells dominantly recognize capsid-derived epitopes and display a cytotoxic phenotype. The Journal of Immunology. 196(1_Supplement). 147.13–147.13. 3 indexed citations
9.
Alwis, Ruklanthi de, Derek J. Bangs, Michael A. Angelo, et al.. (2016). Immunodominant Dengue Virus-Specific CD8 + T Cell Responses Are Associated with a Memory PD-1 + Phenotype. Journal of Virology. 90(9). 4771–4779. 60 indexed citations
10.
Weiskopf, Daniela, Cristhiam Cerpas, Michael A. Angelo, et al.. (2015). Human CD8+T-Cell Responses Against the 4 Dengue Virus Serotypes Are Associated With Distinct Patterns of Protein Targets. The Journal of Infectious Diseases. 212(11). 1743–1751. 104 indexed citations
11.
Weiskopf, Daniela, Michael A. Angelo, John Sidney, et al.. (2014). Immunodominance Changes as a Function of the Infecting Dengue Virus Serotype and Primary versus Secondary Infection. Journal of Virology. 88(19). 11383–11394. 73 indexed citations
12.
Weiskopf, Daniela, Michael A. Angelo, Derek J. Bangs, et al.. (2014). The Human CD8 + T Cell Responses Induced by a Live Attenuated Tetravalent Dengue Vaccine Are Directed against Highly Conserved Epitopes. Journal of Virology. 89(1). 120–128. 147 indexed citations
13.
Weiskopf, Daniela, Michael A. Angelo, Elzinandes Leal de Azeredo, et al.. (2013). Comprehensive analysis of dengue virus-specific responses supports an HLA-linked protective role for CD8 + T cells. Proceedings of the National Academy of Sciences. 110(22). E2046–53. 454 indexed citations breakdown →
14.
Paul, Sinu, Daniela Weiskopf, Michael A. Angelo, et al.. (2013). HLA Class I Alleles Are Associated with Peptide-Binding Repertoires of Different Size, Affinity, and Immunogenicity. The Journal of Immunology. 191(12). 5831–5839. 203 indexed citations
15.
Weiskopf, Daniela, Lauren E. Yauch, Michael A. Angelo, et al.. (2011). Insights into HLA-Restricted T Cell Responses in a Novel Mouse Model of Dengue Virus Infection Point toward New Implications for Vaccine Design. The Journal of Immunology. 187(8). 4268–4279. 90 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026