Shayan Moosa

1.2k citations
42 papers · 826 · h-index 17

Impact in

  • Neurology top 2%
    • Vascular Malformations Diagnosis and Treatment
    • Neurological disorders and treatments
    • Intracranial Aneurysms: Treatment and Complications
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Glioma Diagnosis and Treatment

Papers in

Shayan Moosa

39 papers receiving 817 citations

Peers

Shayan Moosa
Comparison fields: 5 of 68
  • Neurology 409
  • Neurology 59
  • Genetics 55
  • Cellular and Molecular Neuroscience 90
  • Radiology, Nuclear Medicine and Imaging 87
Replace Christian Doenitz with:
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Aman Deep United States
William E. Butler United States
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Shayan Moosa relative to Christian Doenitz Germany Christian Doenitz's profile →
Citations per field
00.5×1.5×2.3×
Christian Doenitz · 1×
Citations per year

Countries citing papers authored by Shayan Moosa

Since Specialization
Citations

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

Fields of papers citing papers by Shayan Moosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201485
2 201481
3 201973
4 201870
5 201961
6 201747
7 201741
8 201836
9 201429
10 201928
11 201424
12 202122
13 201821
14 202019
15 201817
16 202117
17 202016
18 201813
19 201912
20 201911

About Shayan Moosa

Shayan Moosa is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Epidemiology, having authored 42 papers that have together received 826 indexed citations. Recurring topics across this work include Neurological disorders and treatments (11 papers), Pain Mechanisms and Treatments (5 papers), Meningioma and schwannoma management (5 papers), Trigeminal Neuralgia and Treatments (5 papers), Advanced MRI Techniques and Applications (4 papers), Vascular Malformations Diagnosis and Treatment (4 papers), Ultrasound and Hyperthermia Applications (4 papers) and Global Health and Surgery (3 papers). The work is most often cited by research in Neurology (409 citations), Neurology (59 citations), Genetics (55 citations), Cellular and Molecular Neuroscience (90 citations) and Radiology, Nuclear Medicine and Imaging (87 citations). Shayan Moosa has collaborated with scholars based in United States, Italy and Taiwan. Frequent co-authors include W. Jeffrey Elias, Jason P. Sheehan, Cheng‐Chia Lee, Dale Ding, Tony R. Wang, Ching‐Jen Chen, Andrea Franzini, Francesco Prada, Robert F. Dallapiazza and Chun-Po Yen. Their work appears in journals such as Journal of neurosurgery, Stereotactic and Functional Neurosurgery, Neurosurgical FOCUS, Journal of Pain and Neurosurgery.

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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