Gada Gaballa

970 total citations
13 papers, 787 citations indexed

About

Gada Gaballa is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Surgery. According to data from OpenAlex, Gada Gaballa has authored 13 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Genetics and 3 papers in Surgery. Recurrent topics in Gada Gaballa's work include MRI in cancer diagnosis (8 papers), Advanced MRI Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Gada Gaballa is often cited by papers focused on MRI in cancer diagnosis (8 papers), Advanced MRI Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Gada Gaballa collaborates with scholars based in Egypt. Gada Gaballa's co-authors include Ahmed Abdel Khalek Abdel Razek, Nadia Nada, Lamiaa El-Serougy, Mohamed Abdelsalam, Adel Denewer and Ahmed Galal Sadek and has published in prestigious journals such as European Radiology, NMR in Biomedicine and Journal of Computer Assisted Tomography.

In The Last Decade

Gada Gaballa

13 papers receiving 779 citations

Peers

Gada Gaballa
Atilla Arslanoğlu United States
Zuzan Caycı United States
Linda Velasquez United States
Dirk Pickuth Germany
Inseon Ryoo South Korea
Jason W. Schroeder United States
Surjith Vattoth United States
Atilla Arslanoğlu United States
Gada Gaballa
Citations per year, relative to Gada Gaballa Gada Gaballa (= 1×) peers Atilla Arslanoğlu

Countries citing papers authored by Gada Gaballa

Since Specialization
Citations

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

Fields of papers citing papers by Gada Gaballa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gada Gaballa

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

All Works

13 of 13 papers shown
1.
Razek, Ahmed Abdel Khalek Abdel, et al.. (2020). Multi-parametric arterial spin labelling and diffusion-weighted magnetic resonance imaging in differentiation of grade II and grade III gliomas. Polish Journal of Radiology. 85. 110–117. 4 indexed citations
2.
Razek, Ahmed Abdel Khalek Abdel, et al.. (2019). Differentiating Glioblastomas from Solitary Brain Metastases Using Arterial Spin Labeling Perfusion− and Diffusion Tensor Imaging−Derived Metrics. World Neurosurgery. 127. e593–e598. 44 indexed citations
3.
Razek, Ahmed Abdel Khalek Abdel, et al.. (2019). Clinical Applications of Arterial Spin Labeling in Brain Tumors. Journal of Computer Assisted Tomography. 43(4). 525–532. 77 indexed citations
4.
Razek, Ahmed Abdel Khalek Abdel, et al.. (2018). Differentiation of Primary Central Nervous System Lymphoma From Glioblastoma: Quantitative Analysis Using Arterial Spin Labeling and Diffusion Tensor Imaging. World Neurosurgery. 123. e303–e309. 36 indexed citations
5.
7.
Razek, Ahmed Abdel Khalek Abdel, et al.. (2015). Pilot study of ultrasound parotid imaging reporting and data system (PIRADS): Inter-observer agreement. European Journal of Radiology. 84(12). 2533–2538. 32 indexed citations
8.
Razek, Ahmed Abdel Khalek Abdel, et al.. (2013). Time resolved imaging of contrast kinetics (TRICKS) MR angiography of arteriovenous malformations of head and neck. European Journal of Radiology. 82(11). 1885–1891. 80 indexed citations
9.
Razek, Ahmed Abdel Khalek Abdel & Gada Gaballa. (2011). Role of Perfusion Magnetic Resonance Imaging in Cervical Lymphadenopathy. Journal of Computer Assisted Tomography. 35(1). 21–25. 62 indexed citations
10.
Razek, Ahmed Abdel Khalek Abdel, Ahmed Galal Sadek, & Gada Gaballa. (2010). Diffusion-Weighed MR of the Thyroid Gland in Graves' Disease. Academic Radiology. 17(6). 779–783. 22 indexed citations
11.
Razek, Ahmed Abdel Khalek Abdel, Gada Gaballa, Adel Denewer, & Nadia Nada. (2010). Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors. NMR in Biomedicine. 23(6). 619–623. 123 indexed citations
12.
Razek, Ahmed Abdel Khalek Abdel, et al.. (2009). Diffusion Weighted MR Imaging of the Breast. Academic Radiology. 17(3). 382–386. 61 indexed citations
13.
Razek, Ahmed Abdel Khalek Abdel, et al.. (2008). Characterization of pediatric head and neck masses with diffusion-weighted MR imaging. European Radiology. 19(1). 201–208. 105 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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