Malika Aïd
Impact in
- Virology top 10%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in ⓘ
- Virology 5
- HIV Research and Treatment 5
- Immunology 17
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 5
- Immunodeficiency and Autoimmune Disorders 3
- Co-authors
- Dan H. Barouch (23 shared papers)Mathieu Lupien (1 shared paper)Rafick‐Pierre Sékaly (3 shared papers)Xiaoyang Zhang (1 shared paper)Olivia Corradin (1 shared paper)Swneke D. Bailey (1 shared paper)Batool Akhtar‐Zaidi (1 shared paper)Kinjal Desai (1 shared paper)
- Journals
- Journal of Virology (5 papers)PLoS Pathogens (3 papers)Nature Communications (2 papers)Frontiers in Immunology (2 papers)Cell (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Malika Aïd
24 papers receiving 628 citations
Peers
Comparison fields: 5 of 71
- Virology 63
- Immunology 256
- Infectious Diseases 223
- Epidemiology 138
- Microbiology 21
Countries citing papers authored by Malika Aïd
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
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-authors
The 25 scholars most cited alongside Malika Aïd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 138 | |
| 2 | 2015 | 128 | |
| 3 | 2011 | 93 | |
| 4 | 2016 | 43 | |
| 5 | 2018 | 37 | |
| 6 | 2019 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 2016 | 16 | |
| 9 | 2017 | 16 | |
| 10 | 2018 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2019 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2016 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2022 | 5 |
About Malika Aïd
Malika Aïd is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Oncology, having authored 28 papers that have together received 633 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), HIV Research and Treatment (5 papers), Virus-based gene therapy research (5 papers), CAR-T cell therapy research (5 papers), T-cell and B-cell Immunology (5 papers), Tuberculosis Research and Epidemiology (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Virology (63 citations), Immunology (256 citations), Infectious Diseases (223 citations), Epidemiology (138 citations) and Microbiology (21 citations). Malika Aïd has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Dan H. Barouch, Mathieu Lupien, Rafick‐Pierre Sékaly, Xiaoyang Zhang, Olivia Corradin, Swneke D. Bailey, Batool Akhtar‐Zaidi, Kinjal Desai, Richard Cowper‐Sal·lari and Benjamin Haibe‐Kains. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Nature Communications, Frontiers in Immunology and Cell.
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.