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)Ardiana Moustaki (2 shared papers)Ben Youngblood (2 shared papers)Hossam A. Abdelsamed (2 shared papers)Robert Carter (1 shared paper)
- Journals
- The EMBO Journal (1 paper)The Journal of Immunology (1 paper)Science Immunology (1 paper)Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesThailandSouth Korea
In The Last Decade
Walid Awad
11 papers receiving 1.1k citations
Walid Awad's Hit Papers
Peers
Comparison fields: 5 of 79
- Immunology 570
- Oncology 394
- Cell Biology 159
- Cancer Research 98
- Molecular Biology 424
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 | 596 |
| 2 | 2013 | 157 | |
| 3 | 2018 | 93 | |
| 4 | 2008 | 69 | |
| 5 | 2018 | 62 | |
| 6 | 2019 | 59 | |
| 7 | 2008 | 55 | |
| 8 | Metabolic signaling directs the reciprocal lineage decisions of αβ and γδ T cells | 2018 | 14 |
| 9 | 2024 | 11 | |
| 10 | 2025 | 2 | |
| 11 | 2022 | 1 | |
| 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), Diabetes and associated disorders (4 papers), T-cell and B-cell Immunology (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), CAR-T cell therapy research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Trypanosoma species research and implications (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Immunology (570 citations), Oncology (394 citations), Cell Biology (159 citations), Cancer Research (98 citations) and Molecular Biology (424 citations). Walid Awad has collaborated with scholars based in United States, Thailand and South Korea. Frequent co-authors include Linda M. Hendershot, Paul G. Thomas, Pradyot Dash, Geoffrey Neale, Ardiana Moustaki, Ben Youngblood, Hossam A. Abdelsamed, Robert Carter, Yiping Fan and Hazem E. Ghoneim. Their work appears in journals such as The EMBO Journal, The Journal of Immunology, Science Immunology, Cell and Proceedings of the National Academy of Sciences.
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.