Refaat E. Gabr

1.2k citations
54 papers · 809 · h-index 18

Impact in

    • Advanced MRI Techniques and Applications
    • Cardiac Imaging and Diagnostics
    • Medical Imaging Techniques and Applications
    • Advanced Neuroimaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
  • Neurology top 10%
    • Brain Tumor Detection and Classification

Papers in

Refaat E. Gabr

53 papers receiving 801 citations

Peers

Refaat E. Gabr
Comparison fields: 5 of 102
  • Radiology, Nuclear Medicine and Imaging 422
  • Neurology 122
  • Pathology and Forensic Medicine 161
  • Biophysics 46
  • Health Informatics 9
Replace Michele Larobina with:
Michele Larobina Italy
Blake E. Dewey United States
Lasse Riis Østergaard Denmark
Michaël Sdika France
Youngjin Yoo Canada
Cristián Tejos Chile
Boubakeur Belaroussi France
Fabian Isensee Germany
Joon Yul Choi South Korea
José M. Pozo United Kingdom
Refaat E. Gabr relative to Michele Larobina Italy Michele Larobina's profile →
Citations per field
00.5×2.6×
Michele Larobina · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Refaat E. Gabr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Refaat E. Gabr Line = papers co-authored together Refaat E. Gabr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201980
2 201961
3 201949
4 201939
5 200638
6 202036
7 201835
8 201929
9 200525
10 201825
11 201125
12 201924
13 201224
14 201520
15 201620
16 201319
17 202019
18 201818
19 200816
20 200615

About Refaat E. Gabr

Refaat E. Gabr is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Atomic and Molecular Physics, and Optics, Neurology and Biomedical Engineering, having authored 54 papers that have together received 809 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (23 papers), Multiple Sclerosis Research Studies (15 papers), Ultrasound Imaging and Elastography (11 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Medical Imaging Techniques and Applications (9 papers), Atomic and Subatomic Physics Research (8 papers), Ultrasound and Hyperthermia Applications (6 papers) and Cerebrospinal fluid and hydrocephalus (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (422 citations), Neurology (122 citations), Pathology and Forensic Medicine (161 citations), Biophysics (46 citations) and Health Informatics (9 citations). Refaat E. Gabr has collaborated with scholars based in United States, Egypt and Canada. Frequent 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 Khader M. Hasan. Their work appears in journals such as Journal of Magnetic Resonance, Journal of Magnetic Resonance Imaging, Magnetic Resonance in Medicine, Journal of Neuroimaging and American Journal of Neuroradiology.

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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