Gregory Azzam

539 total citations
33 papers, 371 citations indexed

About

Gregory Azzam is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gregory Azzam has authored 33 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 14 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gregory Azzam's work include Glioma Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Brain Metastases and Treatment (6 papers). Gregory Azzam is often cited by papers focused on Glioma Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Brain Metastases and Treatment (6 papers). Gregory Azzam collaborates with scholars based in United States and United Kingdom. Gregory Azzam's co-authors include Marie‐Pascale Côté, Victoria Zhukareva, Michel Lemay, John D. Houlé, Jonathan H. Freedman, Joel N. Meyer, Bennett Van Houten, Windy A. Boyd, Astrid C. Haugen and Maureen E. Murphy and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Gregory Azzam

27 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory Azzam United States 7 122 110 71 54 51 33 371
Soon-Tae You South Korea 9 70 0.6× 145 1.3× 27 0.4× 75 1.4× 24 0.5× 12 351
Cristina da Silva United States 12 31 0.3× 225 2.0× 81 1.1× 21 0.4× 25 0.5× 19 528
Divakar S. Mithal United States 9 24 0.2× 148 1.3× 51 0.7× 58 1.1× 23 0.5× 15 360
Florian Volz Germany 12 121 1.0× 53 0.5× 78 1.1× 23 0.4× 28 0.5× 45 408
Anhui Yao China 9 74 0.6× 78 0.7× 40 0.6× 29 0.5× 22 0.4× 20 308
Stéphanie Michineau France 11 23 0.2× 175 1.6× 54 0.8× 20 0.4× 16 0.3× 14 429
Ran Xu Germany 13 151 1.2× 241 2.2× 27 0.4× 38 0.7× 9 0.2× 34 593
Sravanthi Koduri United States 11 14 0.1× 131 1.2× 57 0.8× 28 0.5× 13 0.3× 37 425
Kazuki Nakahara Japan 8 32 0.3× 107 1.0× 32 0.5× 22 0.4× 25 0.5× 34 305
Muhibullah S. Tora United States 11 111 0.9× 85 0.8× 69 1.0× 40 0.7× 29 0.6× 38 402

Countries citing papers authored by Gregory Azzam

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Azzam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Azzam

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

All Works

20 of 20 papers shown
1.
Nejad‐Davarani, Siamak P., Macarena I. de la Fuente, Gregory J. Kubicek, et al.. (2025). Magnetic Resonance Imaging Relaxometry for Glioblastoma Response Assessment During Radiation Therapy on a 0.35 T Magnetic Resonance Imaging Linear Accelerator. International Journal of Radiation Oncology*Biology*Physics. 122(3). 583–591. 1 indexed citations
2.
3.
Alshalalfa, Mohammed, Anna Murray, Gregory Azzam, et al.. (2024). Racial Disparities in Glioblastoma Genomic Alterations: A Comprehensive Analysis of a Multi-Institution Cohort of 2390 Patients. World Neurosurgery. 188. e625–e630.
4.
Bell, Jonathan B., Macarena I. de la Fuente, Gregory J. Kubicek, et al.. (2024). Dynamics of Daily Glioblastoma Evolution During Chemoradiation Therapy on the 0.35T Magnetic Resonance Imaging-Linear Accelerator. International Journal of Radiation Oncology*Biology*Physics. 122(3). 572–582. 3 indexed citations
5.
Nejad‐Davarani, Siamak P., et al.. (2024). Validation of daily 0.35 T diffusion‐weighted MRI for MRI‐guided glioblastoma radiotherapy. Medical Physics. 51(8). 5386–5398. 4 indexed citations
6.
Azzam, Gregory, et al.. (2024). Implementation and evaluation of a dynamic contrast-enhanced MR perfusion protocol for glioblastoma using a 0.35 T MRI-Linac system. Physica Medica. 119. 103316–103316. 6 indexed citations
7.
Bell, Jonathan B., Mohammed Goryawala, Gregory Azzam, et al.. (2023). Delineation of recurrent glioblastoma by whole brain spectroscopic magnetic resonance imaging. Radiation Oncology. 18(1). 37–37. 6 indexed citations
8.
Azzam, Gregory, et al.. (2023). Simulated Adaptive Radiotherapy for Shrinking Glioblastoma Resection Cavities on a Hybrid MRI–Linear Accelerator. Cancers. 15(5). 1555–1555. 13 indexed citations
9.
Valderrama, Adriana, et al.. (2023). Prognostic Value of Weekly Delta-Radiomics during MR-Linac Radiotherapy of Glioblastoma. International Journal of Radiation Oncology*Biology*Physics. 117(2). S155–S156. 1 indexed citations
10.
Rich, Benjamin, Zoukaa Sargi, Deukwoo Kwon, et al.. (2023). ED visits, hospital admissions and treatment breaks in head/neck cancer patients undergoing radiotherapy. Frontiers in Oncology. 13. 1147474–1147474. 2 indexed citations
11.
Rich, Benjamin, S. Samuels, Gregory Azzam, Gregory J. Kubicek, & Laura Freedman. (2023). Oral Cavity Squamous Cell Carcinoma: Review of Pathology, Diagnosis, and Management. Critical Reviews™ in Oncogenesis. 29(3). 5–24. 2 indexed citations
12.
Zacharaki, Evangelia I., Macarena I. de la Fuente, Gregory Azzam, et al.. (2023). A Deep Learning Approach for Automatic Segmentation during Daily MRI-Linac Radiotherapy of Glioblastoma. Cancers. 15(21). 5241–5241. 5 indexed citations
13.
Rich, Benjamin, Deukwoo Kwon, Jonathan B. Bell, et al.. (2022). Survival and Yield of Surveillance Imaging in Long-Term Survivors of Brain Metastasis Treated with Stereotactic Radiosurgery. World Neurosurgery. 167. e738–e746. 2 indexed citations
14.
Rich, Benjamin, et al.. (2022). A Case of Glioblastoma, Isocitrate Dehydrogenase Wild Type, With Widely Disseminated Osseous Metastasis. Cureus. 14(9). e28803–e28803. 3 indexed citations
15.
Rich, Benjamin, Deukwoo Kwon, Ronald J. Benveniste, et al.. (2022). Factors associated with the use of salvage whole brain radiation therapy versus salvage stereotactic radiosurgery after initial stereotactic radiosurgery for brain metastases.. PubMed. 8(2). 85–94. 2 indexed citations
16.
Azzam, Gregory, et al.. (2020). Successful Radiation Therapy for Breast Cancer in a Patient With Hereditary Coproporphyria. Advances in Radiation Oncology. 5(6). 1384–1389.
17.
Azzam, Gregory, et al.. (2020). CT Dose-weighted Textures Indicate Radiation Induced Fibrosis (RIF) in Patients Treated for Head and Neck Cancers.. International Journal of Radiation Oncology*Biology*Physics. 108(3). e353–e353. 1 indexed citations
18.
Azzam, Gregory, Xuting Wang, Douglas A. Bell, & Maureen E. Murphy. (2013). CSF1 Is a Novel p53 Target Gene Whose Protein Product Functions in a Feed-Forward Manner to Suppress Apoptosis and Enhance p53-Mediated Growth Arrest. PLoS ONE. 8(9). e74297–e74297. 19 indexed citations
19.
Azzam, Gregory, Amanda Frank, Monica Hollstein, & Maureen E. Murphy. (2011). Tissue-specific apoptotic effects of the p53 codon 72 polymorphism in a mouse model. Cell Cycle. 10(9). 1352–1355. 30 indexed citations
20.
Meyer, Joel N., Windy A. Boyd, Gregory Azzam, et al.. (2007). Decline of nucleotide excision repair capacity in aging Caenorhabditis elegans. Genome biology. 8(5). R70–R70. 88 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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