Mohamed E. Abazeed

3.1k total citations
67 papers, 1.6k citations indexed

About

Mohamed E. Abazeed is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mohamed E. Abazeed has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 24 papers in Pulmonary and Respiratory Medicine and 22 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mohamed E. Abazeed's work include Radiomics and Machine Learning in Medical Imaging (16 papers), Lung Cancer Treatments and Mutations (15 papers) and Cancer Genomics and Diagnostics (14 papers). Mohamed E. Abazeed is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), Lung Cancer Treatments and Mutations (15 papers) and Cancer Genomics and Diagnostics (14 papers). Mohamed E. Abazeed collaborates with scholars based in United States, Canada and Philippines. Mohamed E. Abazeed's co-authors include Masao Seto, Shoji Yamaoka, Masakatsu Yonezumi, Linda M. McAllister‐Lucas, Gabriel Núñez, Peter C. Lucas, Naohiro Inohara, Felicia F. Chen, Robert S. Fuller and Kevin Rogacki and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Mohamed E. Abazeed

60 papers receiving 1.6k 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 E. Abazeed United States 20 565 474 449 355 354 67 1.6k
Gregory Bloom United States 18 737 1.3× 337 0.7× 500 1.1× 409 1.2× 267 0.8× 30 1.5k
Deepa S. Subramaniam United States 25 810 1.4× 793 1.7× 378 0.8× 922 2.6× 228 0.6× 81 2.2k
Christopher D. Willey United States 28 1.2k 2.2× 528 1.1× 366 0.8× 777 2.2× 186 0.5× 118 2.5k
Corey Speers United States 23 800 1.4× 622 1.3× 809 1.8× 818 2.3× 273 0.8× 92 2.0k
Frances Daley United Kingdom 27 886 1.6× 539 1.1× 934 2.1× 759 2.1× 528 1.5× 52 2.3k
G. Daniel Grass United States 19 611 1.1× 348 0.7× 241 0.5× 493 1.4× 135 0.4× 78 1.5k
Hong Ge China 16 630 1.1× 515 1.1× 300 0.7× 873 2.5× 328 0.9× 107 2.0k
Kyle C. Cuneo United States 29 773 1.4× 648 1.4× 432 1.0× 666 1.9× 571 1.6× 111 2.4k
John S. Yordy United States 18 788 1.4× 346 0.7× 353 0.8× 605 1.7× 135 0.4× 32 1.5k
Nicholas H. A. Terry United States 28 854 1.5× 559 1.2× 455 1.0× 647 1.8× 450 1.3× 90 2.3k

Countries citing papers authored by Mohamed E. Abazeed

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed E. Abazeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed E. Abazeed. 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 E. Abazeed. The network helps show where Mohamed E. Abazeed may publish in the future.

Co-authorship network of co-authors of Mohamed E. Abazeed

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed E. Abazeed. A scholar is included among the top collaborators of Mohamed E. Abazeed 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 E. Abazeed. Mohamed E. Abazeed 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.
Liu, Y. C., Tarita O. Thomas, Divya Gupta, et al.. (2025). Stage IIIA Non‐Small Cell Lung Cancer Treatment and Outcomes: A Single Institution Retrospective Analysis. Thoracic Cancer. 16(3). e70009–e70009. 1 indexed citations
2.
Chang, Austin, Andrew Yoon, Mohamed E. Abazeed, et al.. (2025). Age-Based Screening for Lung Cancer Surveillance in the US. JAMA Network Open. 8(11). e2546222–e2546222.
3.
Abazeed, Mohamed E., et al.. (2024). Integrative Approaches in Non-Small Cell Lung Cancer Management: The Role of Radiotherapy. Journal of Clinical Medicine. 13(15). 4296–4296. 2 indexed citations
4.
Teo, P. T., Kevin Rogacki, Mahesh Gopalakrishnan, et al.. (2024). Determining risk and predictors of head and neck cancer treatment-related lymphedema: A clinicopathologic and dosimetric data mining approach using interpretable machine learning and ensemble feature selection. Clinical and Translational Radiation Oncology. 46. 100747–100747. 9 indexed citations
5.
Rogacki, Kevin, P. T. Teo, Mahesh Gopalakrishnan, et al.. (2024). Clinical, Pathologic, and Dosimetric Predictors of Head and Neck Lymphedema Following Definitive or Adjuvant Radiation Therapy for Head and Neck Cancer. Advances in Radiation Oncology. 9(9). 101545–101545. 4 indexed citations
6.
Kim, Samuel S., David T. Cooke, Luis F. Tapias, et al.. (2024). The Society of Thoracic Surgeons Expert Consensus on the Multidisciplinary Management and Resectability of Locally Advanced Non-small Cell Lung Cancer. The Annals of Thoracic Surgery. 119(1). 16–33. 6 indexed citations
7.
Zou, Zhiqiang, et al.. (2024). Optimizing Deep Learning Models: CNN-RNN Augmentation with Grad-CAM Analysis for Predicting Pneumonitis from Pre-Treatment CT Images. International Journal of Radiation Oncology*Biology*Physics. 120(2). e670–e670. 1 indexed citations
8.
Juloori, Aditya, Gregory N. Gan, Jun Zhang, et al.. (2023). Dares: A phase II trial of durvalumab and ablative radiation in extensive stage small cell lung cancer.. Journal of Clinical Oncology. 41(16_suppl). TPS8615–TPS8615. 1 indexed citations
9.
Gopal, Priyanka, et al.. (2022). The Mutational Landscape of Cancer's Vulnerability to Ionizing Radiation. Clinical Cancer Research. 28(24). 5343–5358. 4 indexed citations
10.
Gopal, Priyanka, Aaron Petty, Kevin Rogacki, et al.. (2022). Multivalent state transitions shape the intratumoral composition of small cell lung carcinoma. Science Advances. 8(50). eabp8674–eabp8674. 10 indexed citations
11.
Kim, Eugene, Jonghanne Park, In-Ae Park, et al.. (2022). Artificial Intelligence-based Radiomics in the Era of Immuno-oncology. The Oncologist. 27(6). e471–e483. 25 indexed citations
12.
Manem, Venkata, Ian C. P. Smith, Petr Smirnov, et al.. (2019). Modeling Cellular Response in Large-Scale Radiogenomic Databases to Advance Precision Radiotherapy. Cancer Research. 79(24). 6227–6237. 19 indexed citations
13.
Bergom, Carmen, Catharine West, Daniel S. Higginson, et al.. (2019). The Implications of Genetic Testing on Radiation Therapy Decisions: A Guide for Radiation Oncologists. International Journal of Radiation Oncology*Biology*Physics. 105(4). 698–712. 65 indexed citations
14.
Matossian, Margarite D., Hope E. Burks, Steven Elliott, et al.. (2019). Drug resistance profiling of a new triple negative breast cancer patient-derived xenograft model. BMC Cancer. 19(1). 205–205. 22 indexed citations
15.
Sussman, Tamara A., Mohamed E. Abazeed, Keith R. McCrae, & Alok A. Khorana. (2017). RNA Sequencing Approaches to Identify Novel Biomarkers for Venous Thromboembolism (VTE) in Lung Cancer. Blood. 130. 554–554. 2 indexed citations
16.
Sohal, Davendra, Shiva Shrotriya, Mohamed E. Abazeed, Michael Cruise, & Alok A. Khorana. (2016). Molecular characteristics of biliary tract cancer. Critical Reviews in Oncology/Hematology. 107. 111–118. 29 indexed citations
17.
Chie, Eui Kyu, et al.. (2015). Radiotherapy in the Era of Precision Medicine. Seminars in Radiation Oncology. 25(4). 227–236. 23 indexed citations
18.
Abazeed, Mohamed E., Drew Adams, Kristen E. Hurov, et al.. (2013). Integrative Radiogenomic Profiling of Squamous Cell Lung Cancer. Cancer Research. 73(20). 6289–6298. 90 indexed citations
19.
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Gregory Bloom Breakdown of academic impact, for papers by Deepa S. Subramaniam Breakdown of academic impact, for papers by Christopher D. Willey Breakdown of academic impact, for papers by Corey Speers Breakdown of academic impact, for papers by Frances Daley Breakdown of academic impact, for papers by G. Daniel Grass Breakdown of academic impact, for papers by Hong Ge Breakdown of academic impact, for papers by Kyle C. Cuneo Breakdown of academic impact, for papers by John S. Yordy Breakdown of academic impact, for papers by Nicholas H. A. Terry
Rankless by CCL
2026