Walid Awad
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 10
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 4
- Genetics 4
- Diabetes and associated disorders 4
- Co-authors
- Linda M. Hendershot (3 shared papers)Paul G. Thomas (8 shared papers)Pradyot Dash (5 shared papers)Geoffrey Neale (3 shared papers)Hossam A. Abdelsamed (2 shared papers)Ben Youngblood (2 shared papers)Ardiana Moustaki (2 shared papers)Robert Carter (1 shared paper)
- Journals
- Science Translational Medicine (1 paper)Science Immunology (1 paper)The EMBO Journal (1 paper)Journal of Biological Chemistry (1 paper)Immunity (1 paper)
- Partner nations
- United StatesSouth KoreaThailand
In The Last Decade
Walid Awad
10 papers receiving 1.1k citations
Walid Awad's Hit Papers
Peers
Comparison fields: 5 of 78
- Immunology 586
- Oncology 405
- Cell Biology 158
- Cancer Research 107
- Molecular Biology 437
Countries citing papers authored by Walid Awad
This map shows the geographic impact of Walid Awad'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 Walid Awad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walid Awad more than expected).
Fields of papers citing papers by Walid Awad
This network shows the impact of papers produced by Walid Awad. 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 Walid Awad. The network helps show where Walid Awad may publish in the future.
Co-authors
The 25 scholars most cited alongside Walid Awad, 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 | De Novo Epigenetic Programs Inhibit PD-1 Blockade-Mediated T Cell Rejuvenation Hit paper breakdown → | 2017 | 567 |
| 2 | 2013 | 154 | |
| 3 | 2018 | 86 | |
| 4 | 2008 | 67 | |
| 5 | 2018 | 62 | |
| 6 | 2019 | 59 | |
| 7 | 2008 | 53 | |
| 8 | Metabolic signaling directs the reciprocal lineage decisions of αβ and γδ T cells | 2018 | 14 |
| 9 | 2024 | 10 | |
| 10 | 2022 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Walid Awad
Walid Awad is a scholar working on Immunology, Genetics, Oncology, Epidemiology and Cell Biology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (4 papers), Diabetes and associated disorders (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), CAR-T cell therapy research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Heat shock proteins research (1 paper) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Immunology (586 citations), Oncology (405 citations), Cell Biology (158 citations), Cancer Research (107 citations) and Molecular Biology (437 citations). Walid Awad has collaborated with scholars based in United States, South Korea and Thailand. Frequent co-authors include Linda M. Hendershot, Paul G. Thomas, Pradyot Dash, Geoffrey Neale, Hossam A. Abdelsamed, Ben Youngblood, Ardiana Moustaki, Robert Carter, Hazem E. Ghoneim and Yiping Fan. Their work appears in journals such as Science Translational Medicine, Science Immunology, The EMBO Journal, Journal of Biological Chemistry and Immunity.
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.