Walid Awad

1.8k citations
12 papers · 1.1k indexed · 1 hit paper · h-index 9

Walid Awad

10 papers receiving 1.1k citations

Hit Papers

De Novo Epigenetic Programs Inhibit PD-1 Blockade-Mediate...5672017202620202023100200300400500

Peers

Walid Awad
Comparison fields: 5 of 78
  • Immunology 586
  • Oncology 405
  • Cell Biology 158
  • Cancer Research 107
  • Molecular Biology 437
Replace Meghan E. Turnis with:
Meghan E. Turnis United States
Ally-Khan Somani United States
Matthew A. Gronski Canada
Anthony Cruz United States
Adeline Fluteau United Kingdom
Kanstantsin V. Katlinski United States
Alejandra Mendoza United States
Heather Tillman United States
Je-In Youn United States
Walid Awad relative to Meghan E. Turnis United States Meghan E. Turnis's profile →
Citations per field
00.5×3.9×
Meghan E. Turnis · 1×
Citations per year

Countries citing papers authored by Walid Awad

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Walid Awad Line = papers co-authored together Walid Awad links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20250
2 20250
3 202410
4 20221
5 201959
6 201862
7
Metabolic signaling directs the reciprocal lineage decisions of αβ and γδ T cells
201814
8 201886
9
De Novo Epigenetic Programs Inhibit PD-1 Blockade-Mediated T Cell Rejuvenationbreakdown →
2017567
10 2013154
11 200867
12 200853

About Walid Awad

Walid Awad is a scholar working on Immunology, Cell Biology and Genetics, 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), CAR-T cell therapy research (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Research on Leishmaniasis Studies (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Immunology (586 citations), Oncology (405 citations) and Cell Biology (158 citations). Walid Awad has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Linda M. Hendershot, Paul G. Thomas, Pradyot Dash, Geoffrey Neale, Ben Youngblood, Ardiana Moustaki, Hossam A. Abdelsamed, Yiping Fan, Robert Carter and Hazem E. Ghoneim. Their work appears in journals such as Science Translational Medicine, The EMBO Journal, Science Immunology, The Journal of Immunology and Journal of Biological Chemistry.

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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