Khaled Ali

2.2k citations
28 papers · 1.6k · h-index 10

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Mast cells and histamine
    • T-cell and B-cell Immunology
  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • PI3K/AKT/mTOR signaling in cancer 3
    • Metabolism, Diabetes, and Cancer 2
    • Receptor Mechanisms and Signaling 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Mast cells and histamine 3

Khaled Ali

23 papers receiving 1.6k citations

Peers

Khaled Ali
Comparison fields: 5 of 87
  • Immunology 695
  • Genetics 337
  • Aging 36
  • Oncology 387
  • Immunology and Allergy 67
Replace Leonardo Vargas with:
Leonardo Vargas Sweden
Céline Charvet France
Claudine M. Yballe United States
Eugene Y. Koh United States
Jasper de Boer United Kingdom
Wen-Mei Yu United States
Wenyan Miao United States
Sylvia Kaden Germany
Jyh-Rong Chao Taiwan
Brian C. Grabiner United States
Khaled Ali relative to Leonardo Vargas Sweden Leonardo Vargas's profile →
Citations per field
00.5×1.5×2.3×
Leonardo Vargas · 1×
Citations per year

Countries citing papers authored by Khaled Ali

Since Specialization
Citations

This map shows the geographic impact of Khaled Ali'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 Khaled Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khaled Ali more than expected).

Fields of papers citing papers by Khaled Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khaled Ali. 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 Khaled Ali. The network helps show where Khaled Ali may publish in the future.

Co-authors

The 25 scholars most cited alongside Khaled Ali, 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 Khaled Ali Line = papers co-authored together Khaled Ali links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014412
2 2005365
3 2004338
4 2007103
5 2008101
6 201375
7 201067
8 201563
9 202054
10 202114
11 20227
12 20213
13 20213
14 20222
15 20222
16 20212
17 20231
18 20241
19 20241
20 20231

About Khaled Ali

Khaled Ali is a scholar working on Molecular Biology, Immunology, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 and Mental Health (3 papers), Mast cells and histamine (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Renal cell carcinoma treatment (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Receptor Mechanisms and Signaling (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Immunology (695 citations), Genetics (337 citations), Aging (36 citations), Oncology (387 citations) and Immunology and Allergy (67 citations). Khaled Ali has collaborated with scholars based in Qatar, United Kingdom and Egypt. Frequent co-authors include Bart Vanhaesebroeck, Antonio Bilancio, Klaus Okkenhaug, Lazaros C. Foukas, Barbara Geering, Wayne Pearce, Cheryl L. Scudamore, Thorsten Hagemann, Roberto Piñeiro and Heather Maecker. Their work appears in journals such as Heliyon, Nature, The Journal of Immunology, Medicine and Frontiers in Immunology.

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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