Osama Raslan

406 citations
34 papers · 257 · h-index 9

Impact in

Papers in

    • Medical Imaging Techniques and Applications 4
    • Radiology practices and education 2
    • Radiomics and Machine Learning in Medical Imaging 2
    • Salivary Gland Tumors Diagnosis and Treatment 6

Osama Raslan

31 papers receiving 245 citations

Peers

Osama Raslan
Comparison fields: 5 of 45
  • Physiology 93
  • Ophthalmology 30
  • Family Practice 4
  • Infectious Diseases 37
  • Radiology, Nuclear Medicine and Imaging 41
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Citations per field
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Citations per year

Countries citing papers authored by Osama Raslan

Since Specialization
Citations

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

Fields of papers citing papers by Osama Raslan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Osama Raslan, 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 Osama Raslan Line = papers co-authored together Osama Raslan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201181
2 201727
3 200823
4 201617
5 202111
6 202010
7 20249
8 20199
9 20228
10 20217
11 20227
12 20176
13 20245
14 20155
15 20234
16 20213
17 20223
18 20233
19
Does gadolinium-based contrast agents affect the 18F-FDG PET/CT uptake in the dentate nucleus and the globus pallidus? A pilot study.
20163
20 20102

About Osama Raslan

Osama Raslan is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Neurology, Epidemiology and Genetics, having authored 34 papers that have together received 257 indexed citations. Recurring topics across this work include Salivary Gland Tumors Diagnosis and Treatment (6 papers), Medical Imaging Techniques and Applications (4 papers), Glioma Diagnosis and Treatment (4 papers), Meningioma and schwannoma management (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Radiology practices and education (2 papers), Histiocytic Disorders and Treatments (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Physiology (93 citations), Ophthalmology (30 citations), Family Practice (4 citations), Infectious Diseases (37 citations) and Radiology, Nuclear Medicine and Imaging (41 citations). Osama Raslan has collaborated with scholars based in United States, Egypt and Spain. Frequent co-authors include Dawid Schellingerhout, Gregory N. Fuller, Leena Ketonen, Mohamed Zaki, Medhat Osman, Lotfi Hacein‐Bey, Matthew Bobinski, Arzu Öztürk, Reza Assadsangabi and Jennifer Chang. Their work appears in journals such as Clinical Radiology, CNS Oncology, American Journal of Roentgenology, Journal of Clinical Oncology and Retina.

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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