Mohamed Abou-Ghazal

752 total citations
7 papers, 614 citations indexed

About

Mohamed Abou-Ghazal is a scholar working on Oncology, Immunology and Cancer Research. According to data from OpenAlex, Mohamed Abou-Ghazal has authored 7 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Mohamed Abou-Ghazal's work include Immune Cell Function and Interaction (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and T-cell and B-cell Immunology (3 papers). Mohamed Abou-Ghazal is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and T-cell and B-cell Immunology (3 papers). Mohamed Abou-Ghazal collaborates with scholars based in United States, Australia and Japan. Mohamed Abou-Ghazal's co-authors include Amy B. Heimberger, Wei Qiao, Gregory N. Fuller, Chantal Reina-Ortiz, David Yang, Nobuyoshi Hiraoka, Wei Sun, Waldemar Priebe, Jun Wei and Ling‐Yuan Kong and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Neurosurgery.

In The Last Decade

Mohamed Abou-Ghazal

7 papers receiving 607 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohamed Abou-Ghazal United States 6 372 372 186 143 81 7 614
Chantal Reina-Ortiz Spain 8 333 0.9× 352 0.9× 171 0.9× 138 1.0× 68 0.8× 10 566
Zinal Chheda United States 8 275 0.7× 322 0.9× 192 1.0× 182 1.3× 126 1.6× 11 614
Emily C. Brantley United States 7 268 0.7× 182 0.5× 96 0.5× 263 1.8× 127 1.6× 8 593
Jodi L. Kroeger United States 12 510 1.4× 320 0.9× 56 0.3× 191 1.3× 51 0.6× 17 720
Peihong Ma United States 7 128 0.3× 198 0.5× 94 0.5× 240 1.7× 130 1.6× 8 487
Donna Guo United States 5 279 0.8× 175 0.5× 111 0.6× 194 1.4× 143 1.8× 5 511
A. C. Diserens Switzerland 8 186 0.5× 242 0.7× 96 0.5× 201 1.4× 69 0.9× 9 517
Gaochao Guo China 10 162 0.4× 138 0.4× 155 0.8× 198 1.4× 138 1.7× 17 453
Gustavo Roversi United States 7 128 0.3× 153 0.4× 91 0.5× 118 0.8× 70 0.9× 13 347
Caihong Sun China 9 128 0.3× 93 0.3× 70 0.4× 158 1.1× 95 1.2× 17 379

Countries citing papers authored by Mohamed Abou-Ghazal

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Abou-Ghazal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed Abou-Ghazal. 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 Mohamed Abou-Ghazal. The network helps show where Mohamed Abou-Ghazal may publish in the future.

Co-authorship network of co-authors of Mohamed Abou-Ghazal

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Abou-Ghazal. A scholar is included among the top collaborators of Mohamed Abou-Ghazal 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 Mohamed Abou-Ghazal. Mohamed Abou-Ghazal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Humphries, William, Yongtao Wang, Wei Qiao, et al.. (2009). yuDetecting the percent of peripheral blood mononuclear cells displaying p-STAT-3 in malignant glioma patients. Journal of Translational Medicine. 7(1). 92–92. 6 indexed citations
2.
Kong, Ling-Yuan, Jun Wei, Amit Sharma, et al.. (2008). A novel phosphorylated STAT3 inhibitor enhances T cell cytotoxicity against melanoma through inhibition of regulatory T cells. Cancer Immunology Immunotherapy. 58(7). 1023–1032. 71 indexed citations
3.
Abou-Ghazal, Mohamed, David Yang, Wei Qiao, et al.. (2008). The Incidence, Correlation with Tumor-Infiltrating Inflammation, and Prognosis of Phosphorylated STAT3 Expression in Human Gliomas. Clinical Cancer Research. 14(24). 8228–8235. 155 indexed citations
4.
Kong, Ling-Yuan, Mohamed Abou-Ghazal, Jun Wei, et al.. (2008). A Novel Inhibitor of Signal Transducers And Activators Of Transcription 3 Activation Is Efficacious Against Established Central Nervous System Melanoma and Inhibits Regulatory T Cells. Clinical Cancer Research. 14(18). 5759–5768. 107 indexed citations
5.
Heimberger, Amy B., Weiwei Sun, Ling Yuan Kong, et al.. (2008). Glioblastoma stem cells mediate immune suppression that can be inhibited with Jak2/Stat3 blockade. Journal of Clinical Oncology. 26(15_suppl). 2012–2012. 3 indexed citations
6.
Abou-Ghazal, Mohamed, Ling‐Yuan Kong, Chantal Reina-Ortiz, et al.. (2008). The Role of Tregs in Human Glioma Patients and their Inhibition with a Novel STAT-3 Inhibitor. Neurosurgery. 62(6). 1423–1423. 17 indexed citations
7.
Heimberger, Amy B., Mohamed Abou-Ghazal, Chantal Reina-Ortiz, et al.. (2008). Incidence and Prognostic Impact of FoxP3+ Regulatory T Cells in Human Gliomas. Clinical Cancer Research. 14(16). 5166–5172. 255 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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2026