Malika Aïd

1.7k total citations
28 papers, 633 citations indexed

About

Malika Aïd is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Malika Aïd has authored 28 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 10 papers in Infectious Diseases and 7 papers in Epidemiology. Recurrent topics in Malika Aïd's work include Immune Cell Function and Interaction (10 papers), Virus-based gene therapy research (5 papers) and HIV Research and Treatment (5 papers). Malika Aïd is often cited by papers focused on Immune Cell Function and Interaction (10 papers), Virus-based gene therapy research (5 papers) and HIV Research and Treatment (5 papers). Malika Aïd collaborates with scholars based in United States, Canada and United Kingdom. Malika Aïd's co-authors include Dan H. Barouch, Rafick‐Pierre Sékaly, Swneke D. Bailey, Benjamin Haibe‐Kains, Batool Akhtar‐Zaidi, Olivia Corradin, Peter C. Scacheri, Mathieu Lupien, Xiaoyang Zhang and Kinjal Desai and has published in prestigious journals such as Cell, Nature Communications and Nature Immunology.

In The Last Decade

Malika Aïd

24 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malika Aïd United States 12 256 223 205 138 80 28 633
Katrina B. Mar United States 9 223 0.9× 189 0.8× 208 1.0× 120 0.9× 43 0.5× 14 517
Rebecca J. Nusbaum United States 10 343 1.3× 215 1.0× 238 1.2× 210 1.5× 68 0.8× 13 750
Susan K. Eszterhas United States 14 148 0.6× 121 0.5× 288 1.4× 59 0.4× 48 0.6× 26 590
Stephen Brand United States 12 148 0.6× 258 1.2× 155 0.8× 241 1.7× 25 0.3× 23 565
Ashley Zani United States 13 317 1.2× 274 1.2× 195 1.0× 166 1.2× 41 0.5× 18 633
Jesús Arcos United States 12 176 0.7× 300 1.3× 138 0.7× 231 1.7× 46 0.6× 16 618
Caitlyn R. Scharn United States 6 269 1.1× 285 1.3× 269 1.3× 249 1.8× 31 0.4× 8 620
Andrea Matucci Italy 12 189 0.7× 135 0.6× 79 0.4× 88 0.6× 26 0.3× 43 504
Y. Daphne United States 7 425 1.7× 190 0.9× 111 0.5× 79 0.6× 92 1.1× 7 636
Uma Shankar Gautam United States 13 190 0.7× 540 2.4× 169 0.8× 378 2.7× 36 0.5× 19 711

Countries citing papers authored by Malika Aïd

Since Specialization
Citations

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

Fields of papers citing papers by Malika Aïd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malika Aïd. 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 Malika Aïd. The network helps show where Malika Aïd may publish in the future.

Co-authorship network of co-authors of Malika Aïd

This figure shows the co-authorship network connecting the top 25 collaborators of Malika Aïd. A scholar is included among the top collaborators of Malika Aïd 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 Malika Aïd. Malika Aïd 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.
Vidal, Samuel J., Ninaad Lasrado, Lisa H. Tostanoski, et al.. (2025). Mining the CD4 antigen repertoire for next-generation tuberculosis vaccines. Cell. 188(24). 6791–6803.e13. 1 indexed citations
2.
Aïd, Malika, Katherine McMahan, Michael L. Doyle, et al.. (2025). Long COVID involves activation of proinflammatory and immune exhaustion pathways. Nature Immunology. 27(1). 61–71.
3.
Li, Shiyi, Tanushree Dangi, Laura Arroyo, et al.. (2025). Comparative analysis of adenovirus, mRNA, and protein vaccines reveals context-dependent immunogenicity and efficacy. JCI Insight. 10(21).
4.
Nkolola, Joseph P., David Hope, Malika Aïd, et al.. (2024). Protective threshold of a potent neutralizing Zika virus monoclonal antibody in rhesus macaques. Journal of Virology. 98(12). e0142924–e0142924.
5.
Dagotto, Gabriel, Robert C. Patio, David Li, et al.. (2024). Adenoviral-vectored neoantigen vaccine augments hyperexpanded CD8+ T cell control of tumor challenge in mice. Journal for ImmunoTherapy of Cancer. 12(12). e009644–e009644. 2 indexed citations
6.
Aïd, Malika, Kathryn E. Stephenson, Ai‐ris Y. Collier, et al.. (2023). Activation of coagulation and proinflammatory pathways in thrombosis with thrombocytopenia syndrome and following COVID-19 vaccination. Nature Communications. 14(1). 6703–6703. 8 indexed citations
7.
8.
Vidal, Samuel J., Daniel Sellers, Jingyou Yu, et al.. (2023). Attenuated Mycobacterium tuberculosis vaccine protection in a low-dose murine challenge model. iScience. 26(6). 106963–106963. 7 indexed citations
9.
Aïd, Malika, Samuel J. Vidal, César Piedra-Mora, et al.. (2022). Ad26.COV2.S prevents upregulation of SARS-CoV-2 induced pathways of inflammation and thrombosis in hamsters and rhesus macaques. PLoS Pathogens. 18(4). e1009990–e1009990. 5 indexed citations
10.
Aïd, Malika, Noe B. Mercado, Caitlin M. Davis, et al.. (2021). Increased IL-6 expression precedes reliable viral detection in the rhesus macaque brain during acute SIV infection. JCI Insight. 6(20). 10 indexed citations
11.
Vidal, Samuel J., Ai‐ris Y. Collier, Jingyou Yu, et al.. (2021). Correlates of Neutralization against SARS-CoV-2 Variants of Concern by Early Pandemic Sera. Journal of Virology. 95(14). e0040421–e0040421. 24 indexed citations
12.
Martinot, Amanda J., Eryn Blass, Jingyou Yu, et al.. (2020). Protective efficacy of an attenuated Mtb ΔLprG vaccine in mice. PLoS Pathogens. 16(12). e1009096–e1009096. 14 indexed citations
13.
Aïd, Malika, Daniel R. Ram, Steven E. Bosinger, Dan H. Barouch, & R. Keith Reeves. (2020). Delineation and Modulation of the Natural Killer Cell Transcriptome in Rhesus Macaques During ZIKV and SIV Infections. Frontiers in Cellular and Infection Microbiology. 10. 194–194. 3 indexed citations
14.
Tartaglia, Lawrence J., Alexander Badamchi-Zadeh, Peter Abbink, et al.. (2019). Alpha-defensin 5 differentially modulates adenovirus vaccine vectors from different serotypes in vivo. PLoS Pathogens. 15(12). e1008180–e1008180. 11 indexed citations
15.
Larocca, Rafael A., Érica Araújo Mendes, Peter Abbink, et al.. (2019). Adenovirus Vector-Based Vaccines Confer Maternal-Fetal Protection against Zika Virus Challenge in Pregnant IFN-αβR−/− Mice. Cell Host & Microbe. 26(5). 591–600.e4. 26 indexed citations
16.
Badamchi-Zadeh, Alexander, Kelly D. Moynihan, Rafael A. Larocca, et al.. (2018). Combined HDAC and BET Inhibition Enhances Melanoma Vaccine Immunogenicity and Efficacy. The Journal of Immunology. 201(9). 2744–2752. 14 indexed citations
17.
Aïd, Malika, Eirini Moysi, Susan Moir, et al.. (2018). Follicular CD4 T Helper Cells As a Major HIV Reservoir Compartment: A Molecular Perspective. Frontiers in Immunology. 9. 895–895. 37 indexed citations
18.
Gaya, Mauro, Patricia Barral, Marianne Burbage, et al.. (2017). Initiation of Antiviral B Cell Immunity Relies on Innate Signals from Spatially Positioned NKT Cells. Cell. 172(3). 517–533.e20. 138 indexed citations
19.
Larocca, Rafael A., Nicholas M. Provine, Malika Aïd, et al.. (2016). Adenovirus serotype 5 vaccine vectors trigger IL-27–dependent inhibitory CD4 + T cell responses that impair CD8 + T cell function. Science Immunology. 1(5). 16 indexed citations
20.
Tomalka, Jeffrey, Khader Ghneim, Malika Aïd, et al.. (2016). The sooner the better: innate immunity as a path toward the HIV cure. Current Opinion in Virology. 19. 85–91. 7 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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