Arshad Majid

7.8k citations
127 papers · 4.8k indexed · h-index 42

Impact in

  • Neurology top 0.5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Vagus Nerve Stimulation Research
    • Neurological Disease Mechanisms and Treatments

Papers in

Arshad Majid

118 papers receiving 4.7k citations

Peers

Arshad Majid
Comparison fields: 5 of 153
  • Neurology 1.2k
  • Developmental Neuroscience 228
  • Rehabilitation 302
  • Neurology 640
  • Cardiology and Cardiovascular Medicine 885
Replace Yi Yang with:
Yi Yang China
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Adviye Ergul United States
Yun Xu China
Chaur‐Jong Hu Taiwan
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Stefano Tarantini United States
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Arshad Majid relative to Yi Yang China Yi Yang's profile →
Citations per field
00.5×1.5×2.3×
Yi Yang · 1×
Citations per year

Countries citing papers authored by Arshad Majid

Since Specialization
Citations

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

Fields of papers citing papers by Arshad Majid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20250
5 20246
6 20242
7 20241
8 202316
9 20231
10 20212
11 202018
12 20204
13 202046
14 2020125
15 2020111
16 202028
17 201957
18 201549
19 201243
20 200272

About Arshad Majid

Arshad Majid is a scholar working on Neurology, Behavioral Neuroscience, Rehabilitation, Developmental Neuroscience and Neurology, having authored 127 papers that have together received 4.8k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (31 papers), Biochemical effects in animals (21 papers), Cerebrovascular and Carotid Artery Diseases (19 papers), Free Radicals and Antioxidants (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Stroke Rehabilitation and Recovery (11 papers), Vagus Nerve Stimulation Research (11 papers) and EEG and Brain-Computer Interfaces (9 papers). The work is most often cited by research in Neurology (1.2k citations), Developmental Neuroscience (228 citations), Rehabilitation (302 citations), Neurology (640 citations) and Cardiology and Cardiovascular Medicine (885 citations). Arshad Majid has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Mounzer Kassab, Daniel Zemke, Ok‐Nam Bae, G. K. Rajanikant, Ali Ali, Archit Bhatt, Mathew J. Reeves, Muhammad Umar Farooq, Rishi Gupta and Muhammad U. Farooq. Their work appears in journals such as Stroke, International Journal of Molecular Sciences, Journal of Neuroimaging, Cerebrovascular Diseases and Stroke Research and Treatment.

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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