Mayowa Owolabi

203.5k citations
223 papers · 4.4k indexed · 4 hit papers · h-index 31

Mayowa Owolabi

203 papers receiving 4.3k citations

Hit Papers

Global stroke statistics 20221552019202620212023200400600

Peers

Mayowa Owolabi
Comparison fields: 5 of 168
  • Rehabilitation 1.4k
  • Epidemiology 1.8k
  • Neurology 392
  • Psychiatry and Mental health 682
  • Internal Medicine 140
Replace Priya Parmar with:
Priya Parmar New Zealand
Catherine O. Johnson United States
Dominique A. Cadilhac Australia
Andrew Moran United States
Rufus Akinyemi Nigeria
Jeyaraj Pandian India
Myles Connor United Kingdom
Wenzhi Wang China
Richard I. Lindley Australia
Carl Counsell United Kingdom
Mayowa Owolabi relative to Priya Parmar New Zealand Priya Parmar's profile →
Citations per field
00.5×1.5×2.4×
Priya Parmar · 1×
Citations per year

Countries citing papers authored by Mayowa Owolabi

Since Specialization
Citations

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

Fields of papers citing papers by Mayowa Owolabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20241
5 20242
6 20243
7 20231
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9 20234
10 20231
11 202311
12 20239
13
Global stroke statistics 2022breakdown →
2022155
14 2021149
15 2021153
16 20211
17 20197
18
Determinants of health-related quality of life among Nigerian-Africans with Parkinson's disease
20140
19
Total vascular risk as a strong correlate of severity of diabetic peripheral neuropathy in Nigerian Africans.
201210
20
Taming the burgeoning stroke epidemic in Africa: stroke quadrangle to the rescue.
201160

About Mayowa Owolabi

Mayowa Owolabi is a scholar working on Rehabilitation, Epidemiology and Psychiatry and Mental health, having authored 223 papers that have together received 4.4k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (95 papers), Stroke Rehabilitation and Recovery (66 papers), Cerebrovascular and Carotid Artery Diseases (22 papers), Dementia and Cognitive Impairment Research (21 papers), Blood Pressure and Hypertension Studies (19 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Global Public Health Policies and Epidemiology (10 papers). The work is most often cited by research in Rehabilitation (1.4k citations), Epidemiology (1.8k citations) and Neurology (392 citations). Mayowa Owolabi has collaborated with scholars based in Nigeria, United States and United Kingdom. Frequent co-authors include Adesola Ogunniyi, Valery L. Feigin, Rufus Akinyemi, Martin Dichgans, Michael Brainin, William M. Carroll, Priya Parmar, Theo Vos, Emma Nichols and Christopher J L Murray. Their work appears in journals such as Nature Genetics, SHILAP Revista de lepidopterología and Blood.

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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