Tariq Daouda
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
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- Peptidase Inhibition and Analysis
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- vaccines and immunoinformatics approaches 6
- RNA and protein synthesis mechanisms 3
- Glycosylation and Glycoproteins Research 1
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- Immunotherapy and Immune Responses 4
- Co-authors
- Claude Perreault (8 shared papers)Sébastien Lemieux (8 shared papers)Pierre Thibault (6 shared papers)Diana Paola Granados (4 shared papers)Jean‐Philippe Laverdure (5 shared papers)Céline M. Laumont (3 shared papers)Chantal Durette (3 shared papers)Éric Bonneil (2 shared papers)
- Journals
- Nature Communications (2 papers)Frontiers in Immunology (2 papers)Journal of Cancer Policy (1 paper)PLoS Computational Biology (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- CanadaMoroccoUnited States
In The Last Decade
Tariq Daouda
11 papers receiving 476 citations
Peers
Comparison fields: 5 of 54
- Immunology 300
- Oncology 173
- Molecular Biology 327
- Radiology, Nuclear Medicine and Imaging 68
- Hematology 23
Countries citing papers authored by Tariq Daouda
This map shows the geographic impact of Tariq Daouda'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 Tariq Daouda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tariq Daouda more than expected).
Fields of papers citing papers by Tariq Daouda
This network shows the impact of papers produced by Tariq Daouda. 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 Tariq Daouda. The network helps show where Tariq Daouda may publish in the future.
Co-authors
The 25 scholars most cited alongside Tariq Daouda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 180 | |
| 2 | 2016 | 122 | |
| 3 | 2014 | 79 | |
| 4 | 2012 | 54 | |
| 5 | 2017 | 17 | |
| 6 | 2020 | 13 | |
| 7 | 2023 | 10 | |
| 8 | 2020 | 9 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2025 | 0 |
About Tariq Daouda
Tariq Daouda is a scholar working on Molecular Biology, Immunology, Oncology, Pediatrics, Perinatology and Child Health and Health Information Management, having authored 12 papers that have together received 489 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (6 papers), Immunotherapy and Immune Responses (4 papers), RNA and protein synthesis mechanisms (3 papers), Monoclonal and Polyclonal Antibodies Research (1 paper), Artificial Intelligence in Healthcare (1 paper), Glycosylation and Glycoproteins Research (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Immunology (300 citations), Oncology (173 citations), Molecular Biology (327 citations), Radiology, Nuclear Medicine and Imaging (68 citations) and Hematology (23 citations). Tariq Daouda has collaborated with scholars based in Canada, Morocco and United States. Frequent co-authors include Claude Perreault, Sébastien Lemieux, Pierre Thibault, Diana Paola Granados, Jean‐Philippe Laverdure, Céline M. Laumont, Chantal Durette, Éric Bonneil, Marie‐Pierre Hardy and Olivier Caron-Lizotte. Their work appears in journals such as Nature Communications, Frontiers in Immunology, Journal of Cancer Policy, PLoS Computational Biology and Journal of Clinical Investigation.
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.