This map shows the geographic impact of A O Falase'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 A O Falase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A O Falase more than expected).
This network shows the impact of papers produced by A O Falase. 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 A O Falase. The network helps show where A O Falase may publish in the future.
Co-authorship network of co-authors of A O Falase
This figure shows the co-authorship network connecting the top 25 collaborators of A O Falase.
A scholar is included among the top collaborators of A O Falase based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with A O Falase. A O Falase is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nwafor, Chibuike Eze, A Adebiyi, Okechukwu S. Ogah, & A O Falase. (2013). Relationship between 24-hour blood pressure pattern and left ventricular structure and function in hypertensive Nigerians.. PubMed. 23(4). 474–9.8 indexed citations
Salako, L.A., et al.. (2010). A prevalence of cardiometabolic risk factors among a rural Yoruba south-western Nigerian population: a population-based survey.. PubMed. 21(1). 26–31.157 indexed citations
6.
Ojji, Dike, et al.. (2010). Pattern of heart failure in Abuja, Nigeria: an echocardiographic study.. PubMed. 20(6). 349–52.45 indexed citations
7.
Oladapo, Olulola O, A Adebiyi, Olayinka O. Ogunleye, et al.. (2009). Characterisation of left ventricular function by tissue Doppler imaging technique in newly diagnosed, untreated hypertensive subjects.. PubMed. 19(5). 259–63.5 indexed citations
8.
Ogah, Okechukwu S., et al.. (2009). Electrocardiographic left ventricular hypertrophy with strain pattern: prevalence, mechanisms and prognostic implications.. PubMed. 19(1). 39–45.11 indexed citations
Adebiyi, A, Akinyemi Aje, Okechukwu S. Ogah, et al.. (2005). Correlates of left atrial size in Nigerian hypertensives.. PubMed. 16(3). 158–61.15 indexed citations
11.
Adebiyi, A, et al.. (2005). Left ventricular diastolic function parameters in hypertensives.. PubMed. 97(1). 41–5.10 indexed citations
12.
Adebiyi, A, Akinyemi Aje, Okechukwu S. Ogah, et al.. (2005). Correlates of left atrial size in Nigerian hypertensives : cardiovascular topic. 16(3). 158–161.2 indexed citations
13.
Falase, A O, et al.. (2003). Prevalence of mitral valve prolapse in healthy adult Nigerians as diagnosed by echocardiography.. PubMed. 30(1-2). 13–6.7 indexed citations
14.
Falase, A O, et al.. (1990). Distribution of antibodies against Coxsackie B viruses, arboviruses and Toxoplasma gondii among patients with endomyocardial fibrosis (EMF) compared with normal subjects from EMF endemic and non-endemic zones of Nigeria.. PubMed. 19(2). 93–103.10 indexed citations
Falase, A O. (1978). Four years' follow-up of the blood pressure of adult Nigerians with cardiomegaly of unknown origin.. 4(14). 59–67.3 indexed citations
19.
Falase, A O, et al.. (1976). Infective endocarditis-experience in Nigeria.. PubMed. 28(1). 9–15.7 indexed citations
20.
Salako, L.A. & A O Falase. (1973). A comparison of moduretic and hydrochlorothiazide in the treatment of hypertension in African patients.. PubMed. 50(1). 38–47.4 indexed citations
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.