Aria Sabbagh

458 citations
9 papers · 230 · h-index 6

Impact in

    • Glioma Diagnosis and Treatment
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

    • Nanoplatforms for cancer theranostics 2
    • Nanowire Synthesis and Applications 2
    • Photoacoustic and Ultrasonic Imaging 2
    • Ultrasound and Hyperthermia Applications 2
    • CAR-T cell therapy research 4

Aria Sabbagh

9 papers receiving 228 citations

Peers

Aria Sabbagh
Comparison fields: 5 of 48
  • Genetics 61
  • Immunology 96
  • Neurology 28
  • Oncology 92
  • Cancer Research 25
Replace An-Kang Hu with:
An-Kang Hu China
Brandon L. McClellan United States
Hinda Najem United States
Iris Mildenberger Germany
Daniel E. Oyon United States
Bethany Delcuze United States
Amira Davis United States
Chujun Zhao China
Elena Masetto Italy
Ornella Bonavita Italy
Aria Sabbagh relative to An-Kang Hu China An-Kang Hu's profile →
Citations per field
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An-Kang Hu · 1×
Citations per year

Countries citing papers authored by Aria Sabbagh

Since Specialization
Citations

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

Fields of papers citing papers by Aria Sabbagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 202080
2 202041
3 201941
4 202040
5 202016
6 20229
7 20231
8 20191
9 20211

About Aria Sabbagh

Aria Sabbagh is a scholar working on Biomedical Engineering, Oncology, Molecular Biology, Genetics and Immunology, having authored 9 papers that have together received 230 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Nanoplatforms for cancer theranostics (2 papers), Nanowire Synthesis and Applications (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Glioma Diagnosis and Treatment (2 papers), Immune Cell Function and Interaction (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Genetics (61 citations), Immunology (96 citations), Neurology (28 citations), Oncology (92 citations) and Cancer Research (25 citations). Aria Sabbagh has collaborated with scholars based in United States and France. Frequent co-authors include Amy B. Heimberger, Anantha Marisetty, Martina Ott, Xiaoyang Ling, Jun Wei, John de Groot, Michael Canney, James P. Long, Kévin Beccaria and Alexandre Carpentier. Their work appears in journals such as Cancers, Clinical Cancer Research, Journal of Neuro-Oncology, Neuro-Oncology and Cancer Research.

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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