Mohammad Wasay

7.3k citations
180 papers · 3.7k · h-index 33

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Neurology top 0.5%
    • Cerebral Venous Sinus Thrombosis
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Long-Term Effects of COVID-19

Papers in

    • Cerebral Venous Sinus Thrombosis 36
    • Intracerebral and Subarachnoid Hemorrhage Research 17
    • Long-Term Effects of COVID-19 8
    • Acute Ischemic Stroke Management 34

Mohammad Wasay

161 papers receiving 3.4k citations

Peers

Mohammad Wasay
Comparison fields: 5 of 134
  • Internal Medicine 404
  • Neurology 1.4k
  • Epidemiology 877
  • Infectious Diseases 412
  • Rehabilitation 143
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Countries citing papers authored by Mohammad Wasay

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Wasay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020180
2 2008165
3 1999161
4 2014158
5 2001130
6 2003121
7 2007118
8 2008112
9
Intraventricular CSF pulsation artifact on fast fluid-attenuated inversion-recovery MR images: analysis of 100 consecutive normal studies.
200094
10 200883
11 200579
12 201478
13 201068
14 201365
15 200865
16 200264
17 200063
18 199760
19 201459
20
Ischemic stroke subtypes in Pakistan: the Aga Khan University Stroke Data Bank.
200358

About Mohammad Wasay

Mohammad Wasay is a scholar working on Neurology, Epidemiology, Surgery, Internal Medicine and Infectious Diseases, having authored 180 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cerebral Venous Sinus Thrombosis (36 papers), Acute Ischemic Stroke Management (34 papers), Venous Thromboembolism Diagnosis and Management (20 papers), Intracerebral and Subarachnoid Hemorrhage Research (17 papers), Infectious Diseases and Tuberculosis (12 papers), Air Quality and Health Impacts (8 papers), Long-Term Effects of COVID-19 (8 papers) and Multiple Sclerosis Research Studies (7 papers). The work is most often cited by research in Internal Medicine (404 citations), Neurology (1.4k citations), Epidemiology (877 citations), Infectious Diseases (412 citations) and Rehabilitation (143 citations). Mohammad Wasay has collaborated with scholars based in Pakistan, United States and Tanzania. Frequent co-authors include Rohit Bakshi, Bhojo A. Khealani, Alper Dai, Ismail A. Khatri, Safia Awan, Muhammad Azeemuddin, George C. Bobustuc, Subhash Kaul, Maria Khan and Neeraj Dubey. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Journal of Neuroimaging, Journal of the Neurological Sciences, Neurology and Stroke.

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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