Oluseye Ogunmoroti

2.3k citations
76 papers · 1.6k · 1 hit paper · h-index 19

Impact in

Papers in

Oluseye Ogunmoroti

75 papers receiving 1.5k citations

Oluseye Ogunmoroti's Hit Papers

Polycystic ovary syndrome and cardiometabolic risk: Opportunities for cardiovascular disease prevention 2019 · 274 citations
2740+2+4Years since publication50100150200250

Peers

Oluseye Ogunmoroti
Comparison fields: 5 of 102
  • Cardiology and Cardiovascular Medicine 698
  • Reproductive Medicine 169
  • Health 105
  • Public Health, Environmental and Occupational Health 177
  • Endocrinology, Diabetes and Metabolism 103
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Countries citing papers authored by Oluseye Ogunmoroti

Since Specialization
Citations

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

Fields of papers citing papers by Oluseye Ogunmoroti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Polycystic ovary syndrome and cardiometabolic risk: Opportunities for cardiovascular disease prevention
Hit paper breakdown →
2019274
2 2016183
3 2016101
4 201888
5 201786
6 201854
7 202152
8 201642
9 201737
10 201836
11 201633
12 201928
13 202325
14 201920
15 201520
16 202020
17 201520
18 201720
19 202219
20 201817

About Oluseye Ogunmoroti

Oluseye Ogunmoroti is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology, General Health Professions and Economics and Econometrics, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiovascular Health and Risk Factors (25 papers), Cardiac Health and Mental Health (6 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Healthcare Policy and Management (4 papers), Hormonal and reproductive studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (698 citations), Reproductive Medicine (169 citations), Health (105 citations), Public Health, Environmental and Occupational Health (177 citations) and Endocrinology, Diabetes and Metabolism (103 citations). Oluseye Ogunmoroti has collaborated with scholars based in United States, Mexico and Brazil. Frequent co-authors include Erin D. Michos, Olatokunbo Osibogun, Erica S. Spatz, Emir Veledar, Salim S. Virani, Michael J. Blaha, Ron Blankstein, Jamal S. Rana, Khurram Nasir and Victor Okunrintemi. Their work appears in journals such as Circulation, Journal of the American Heart Association, Atherosclerosis, Clinical Cardiology and Journal of Women s Health.

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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