Aria Sabbagh

458 total citations
9 papers, 230 citations indexed

About

Aria Sabbagh is a scholar working on Biomedical Engineering, Oncology and Molecular Biology. According to data from OpenAlex, Aria Sabbagh has authored 9 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Aria Sabbagh's work include CAR-T cell therapy research (4 papers), Glioma Diagnosis and Treatment (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). Aria Sabbagh is often cited by papers focused on CAR-T cell therapy research (4 papers), Glioma Diagnosis and Treatment (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). Aria Sabbagh collaborates with scholars based in United States and France. Aria Sabbagh's co-authors include Amy B. Heimberger, Martina Ott, Anantha Marisetty, Xiaoyang Ling, Jun Wei, Kévin Beccaria, Alexandre Carpentier, James P. Long, Michael Canney and John de Groot and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Cancers.

In The Last Decade

Aria Sabbagh

9 papers receiving 228 citations

Peers

Aria Sabbagh

IMMUN

ONCOL

MB

BE

GENET

An-Kang Hu China

Brandon L. McClellan United States

Hinda Najem United States

Daniel E. Oyon United States

Ahmed Belal United States

Iris Mildenberger Germany

Amira Davis United States

Simon Khagi United States

Yuxia Meng France

Marnix H. P. de Groot Netherlands

An-Kang Hu China

Aria Sabbagh

120 ×1.3

IMMUN

86 ×0.9

ONCOL

73 ×1.0

MB

44 ×0.7

BE

45 ×0.7

GENET

Citations per year, relative to Aria Sabbagh Aria Sabbagh (= 1×) peers An-Kang Hu

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-authorship network of co-authors of Aria Sabbagh

This figure shows the co-authorship network connecting the top 25 collaborators of Aria Sabbagh. A scholar is included among the top collaborators of Aria Sabbagh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aria Sabbagh. Aria Sabbagh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Liang, Jiyong, Dexing Fang, Joy Gumin, et al.. (2023). A Case Study of Chimeric Antigen Receptor T Cell Function: Donor Therapeutic Differences in Activity and Modulation with Verteporfin. Cancers. 15(4). 1085–1085. 1 indexed citations

2.

Wei, Jun, Renduo Song, Aria Sabbagh, et al.. (2022). Cell-directed aptamer therapeutic targeting for cancers including those within the central nervous system. OncoImmunology. 11(1). 2062827–2062827. 9 indexed citations

3.

Sabbagh, Aria, Kévin Beccaria, Xiaoyang Ling, et al.. (2021). Abstract 1489: Deposition of genetically engineered T cell attracting antigen presenting cells in the glioma microenvironment with low intensity pulsed ultrasound-based blood-brain barrier opening triggers therapeutic responses in preclinical glioma models. Cancer Research. 81(13_Supplement). 1489–1489. 1 indexed citations

4.

Rao, Ganesh, Khatri Latha, Martina Ott, et al.. (2020). Anti–PD-1 Induces M1 Polarization in the Glioma Microenvironment and Exerts Therapeutic Efficacy in the Absence of CD8 Cytotoxic T Cells. Clinical Cancer Research. 26(17). 4699–4712. 80 indexed citations

5.

Ott, Martina, Cynthia Kassab, Anantha Marisetty, et al.. (2020). Radiation with STAT3 Blockade Triggers Dendritic Cell–T cell Interactions in the Glioma Microenvironment and Therapeutic Efficacy. Clinical Cancer Research. 26(18). 4983–4994. 41 indexed citations

6.

Beccaria, Kévin, Aria Sabbagh, John de Groot, et al.. (2020). Blood–brain barrier opening with low intensity pulsed ultrasound for immune modulation and immune therapeutic delivery to CNS tumors. Journal of Neuro-Oncology. 151(1). 65–73. 40 indexed citations

7.

Marisetty, Anantha, Jun Wei, Ling-Yuan Kong, et al.. (2020). MiR-181 Family Modulates Osteopontin in Glioblastoma Multiforme. Cancers. 12(12). 3813–3813. 16 indexed citations

8.

Caruso, Hillary G., Ryuma Tanaka, Jiyong Liang, et al.. (2019). Shortened ex vivo manufacturing time of EGFRvIII-specific chimeric antigen receptor (CAR) T cells reduces immune exhaustion and enhances antiglioma therapeutic function. Journal of Neuro-Oncology. 145(3). 429–439. 41 indexed citations

9.

Sabbagh, Aria, Anantha Marisetty, Martina Ott, et al.. (2019). SCIDOT-23. LOW INTENSITY PULSED ULTRASOUND ENHANCES BLOOD-BRAIN BARRIER OPENING AND IMPROVES RESPONSE TO IMMUNOTHERAPY FOR GLIOBLASTOMA. Neuro-Oncology. 21(Supplement_6). vi276–vi276. 1 indexed citations

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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