Refaat E. Gabr

1.2k total citations
54 papers, 809 citations indexed

About

Refaat E. Gabr is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Refaat E. Gabr has authored 54 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pathology and Forensic Medicine and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Refaat E. Gabr's work include Advanced MRI Techniques and Applications (23 papers), Multiple Sclerosis Research Studies (15 papers) and Ultrasound Imaging and Elastography (11 papers). Refaat E. Gabr is often cited by papers focused on Advanced MRI Techniques and Applications (23 papers), Multiple Sclerosis Research Studies (15 papers) and Ultrasound Imaging and Elastography (11 papers). Refaat E. Gabr collaborates with scholars based in United States, Egypt and Canada. Refaat E. Gabr's co-authors include Ponnada A. Narayana, Ivan Coronado, Paul A. Bottomley, Sheeba J. Sujit, Robert G. Weiss, Jerry S. Wolinsky, Michael Schär, Fred Lublin, AbdEl‐Monem M. El‐Sharkawy and Xiaojun Sun and has published in prestigious journals such as Circulation, Neurology and Scientific Reports.

In The Last Decade

Refaat E. Gabr

53 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Refaat E. Gabr United States	18	422	161	122	95	86	54	809
Michele Larobina Italy	16	423 1.0×	121 0.8×	66 0.5×	136 1.4×	92 1.1×	30	861
Boubakeur Belaroussi France	10	426 1.0×	78 0.5×	97 0.8×	143 1.5×	55 0.6×	19	806
Michaël Sdika France	16	517 1.2×	126 0.8×	65 0.5×	195 2.1×	152 1.8×	45	946
Jyh‐Wen Chai Taiwan	19	253 0.6×	36 0.2×	64 0.5×	123 1.3×	95 1.1×	80	895
Blake E. Dewey United States	20	694 1.6×	314 2.0×	103 0.8×	303 3.2×	140 1.6×	59	1.3k
Lasse Riis Østergaard Denmark	17	488 1.2×	69 0.4×	123 1.0×	388 4.1×	178 2.1×	57	1.2k
Cristián Tejos Chile	22	468 1.1×	58 0.4×	39 0.3×	97 1.0×	104 1.2×	80	1.2k
Youngjin Yoo Canada	13	388 0.9×	102 0.6×	155 1.3×	228 2.4×	101 1.2×	30	748
José M. Pozo United Kingdom	19	247 0.6×	165 1.0×	76 0.6×	201 2.1×	310 3.6×	64	1.1k
Sushmita Datta United States	17	342 0.8×	539 3.3×	139 1.1×	193 2.0×	98 1.1×	27	933

Countries citing papers authored by Refaat E. Gabr

Since Specialization

Citations

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

Fields of papers citing papers by Refaat E. Gabr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Refaat E. Gabr

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

All Works

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20 of 20 papers shown

Jiang, Xiaotong, Olivier Teboul, Nikos Komodakis, et al.. (2025). Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis. Medical Image Analysis. 105. 103619–103619.

Gabr, Refaat E., Arash Kamali, John A. Lincoln, et al.. (2024). Detection of diffusely abnormal white matter in multiple sclerosis on multiparametric brain MRI using semi-supervised deep learning. Scientific Reports. 14(1). 17157–17157. 1 indexed citations

Gabr, Refaat E., John A. Lincoln, Khader M. Hasan, & Larry A. Kramer. (2023). Functional assessment of the dural lymphatic vessels using dynamic contrast MRI in multiple sclerosis. Brain and Behavior. 13(7). e3042–e3042. 7 indexed citations

Gabr, Refaat E., John A. Lincoln, Arash Kamali, et al.. (2020). Sensitive Detection of Infratentorial and Upper Cervical Cord Lesions in Multiple Sclerosis with Combined 3D FLAIR and T2-Weighted (FLAIR3) Imaging. American Journal of Neuroradiology. 41(11). 2062–2067. 2 indexed citations

Narayana, Ponnada A., Ivan Coronado, Sheeba J. Sujit, et al.. (2019). Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI. Radiology. 294(2). 398–404. 80 indexed citations

Gabr, Refaat E., Giovana Zunta‐Soares, Jair C. Soares, & Ponnada A. Narayana. (2019). MRI acoustic noise-modulated computer animations for patient distraction and entertainment with application in pediatric psychiatric patients. Magnetic Resonance Imaging. 61. 16–19. 3 indexed citations

Gabr, Refaat E., Sarah George, Xiurong Zhao, et al.. (2019). Serial Metabolic Evaluation of Perihematomal Tissues in the Intracerebral Hemorrhage Pig Model. Frontiers in Neuroscience. 13. 888–888. 11 indexed citations

Gabr, Refaat E., Sarah George, Farhaan Vahidy, et al.. (2019). Serial Cerebral Metabolic Changes in Patients With Ischemic Stroke Treated With Autologous Bone Marrow Derived Mononuclear Cells. Frontiers in Neurology. 10. 141–141. 7 indexed citations

Varadhan, Ravi, David W. Russ, Refaat E. Gabr, et al.. (2019). Relationship of Physical Frailty to Phosphocreatine Recovery in Muscle after Mild Exercise Stress in the Oldest-Old Women. The Journal of Frailty & Aging. 8(4). 162–168. 14 indexed citations

10.

Narayana, Ponnada A., Ivan Coronado, Sheeba J. Sujit, et al.. (2019). Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learning. Magnetic Resonance Imaging. 65. 8–14. 24 indexed citations

11.

Gabr, Refaat E., Khader M. Hasan, Sarah George, et al.. (2019). Ongoing Secondary Degeneration of the Limbic System in Patients With Ischemic Stroke: A Longitudinal MRI Study. Frontiers in Neurology. 10. 154–154. 29 indexed citations

12.

Gabr, Refaat E., AbdEl‐Monem M. El‐Sharkawy, Michael Schär, et al.. (2018). Cardiac work is related to creatine kinase energy supply in human heart failure: a cardiovascular magnetic resonance spectroscopy study. Journal of Cardiovascular Magnetic Resonance. 20(1). 81–81. 35 indexed citations

13.

Gabr, Refaat E., Amol Pednekar, Arash Kamali, et al.. (2018). Interleaved susceptibility‐weighted and FLAIR MRI for imaging lesion‐penetrating veins in multiple sclerosis. Magnetic Resonance in Medicine. 80(3). 1132–1137. 6 indexed citations

14.

Zhang, Yi, Refaat E. Gabr, Jinyuan Zhou, Robert G. Weiss, & Paul A. Bottomley. (2013). Highly-accelerated quantitative 2D and 3D localized spectroscopy with linear algebraic modeling (SLAM) and sensitivity encoding. Journal of Magnetic Resonance. 237. 125–138. 15 indexed citations

15.

Zhang, Yi, Refaat E. Gabr, Michael Schär, Robert G. Weiss, & Paul A. Bottomley. (2012). Magnetic resonance Spectroscopy with Linear Algebraic Modeling (SLAM) for higher speed and sensitivity. Journal of Magnetic Resonance. 218. 66–76. 24 indexed citations

16.

Gabr, Refaat E., Michael Schär, Arthur Edelstein, et al.. (2009). MRI dynamic range and its compatibility with signal transmission media. Journal of Magnetic Resonance. 198(2). 137–145. 11 indexed citations

17.

Gabr, Refaat E., Robert G. Weiss, & Paul A. Bottomley. (2008). Correcting reaction rates measured by saturation-transfer magnetic resonance spectroscopy. Journal of Magnetic Resonance. 191(2). 248–258. 16 indexed citations

18.

Gabr, Refaat E., et al.. (2006). Deconvolution‐interpolation gridding (DING): Accurate reconstruction for arbitrary k‐space trajectories. Magnetic Resonance in Medicine. 56(6). 1182–1191. 15 indexed citations

19.

Kadah, Yasser M., Ahmed S. Fahmy, Refaat E. Gabr, Keith Heberlein, & Xiaoping Hu. (2006). Progressive Magnetic Resonance Image Reconstruction Based on Iterative Solution of a Sparse Linear System. International Journal of Biomedical Imaging. 2006(1). 49378–49378. 6 indexed citations

20.

Gabr, Refaat E., et al.. (2006). On restoring motion‐induced signal loss in single‐voxel magnetic resonance spectra. Magnetic Resonance in Medicine. 56(4). 754–760. 38 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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