Abiodun Onipinla

13.2k total citations
8 papers, 206 citations indexed

About

Abiodun Onipinla is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Abiodun Onipinla has authored 8 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Genetics and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Abiodun Onipinla's work include Genetic Associations and Epidemiology (4 papers), Renin-Angiotensin System Studies (3 papers) and Hormonal Regulation and Hypertension (3 papers). Abiodun Onipinla is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Renin-Angiotensin System Studies (3 papers) and Hormonal Regulation and Hypertension (3 papers). Abiodun Onipinla collaborates with scholars based in United Kingdom, France and United States. Abiodun Onipinla's co-authors include Giuseppe A. Sagnella, Francesco P. Cappuccio, Derek G. Cook, Yanbin Dong, Haidong Zhu, Graham A. MacGregor, Nirmala D. Markandu, Michelle A. Miller, Mark J. Caulfield and Patricia B. Munroe and has published in prestigious journals such as Hypertension, The American Journal of Human Genetics and Journal of Hypertension.

In The Last Decade

Abiodun Onipinla

8 papers receiving 195 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Abiodun Onipinla United Kingdom	6	106	97	58	41	26	8	206
Miloš Stojanović Serbia	9	164 1.5×	46 0.5×	73 1.3×	58 1.4×	16 0.6×	33	284
J Tatoń Poland	8	109 1.0×	64 0.7×	33 0.6×	65 1.6×	27 1.0×	36	287
A.J.M. Donker Netherlands	4	156 1.5×	67 0.7×	27 0.5×	73 1.8×	25 1.0×	4	291
Diane M. Karl United States	9	190 1.8×	45 0.5×	42 0.7×	49 1.2×	27 1.0×	12	309
Aylmer Tang United States	5	168 1.6×	69 0.7×	49 0.8×	30 0.7×	14 0.5×	5	230
Alberto B. Alonso United States	10	99 0.9×	88 0.9×	37 0.6×	78 1.9×	19 0.7×	14	306
Bhargavi Patham United States	5	242 2.3×	45 0.5×	50 0.9×	50 1.2×	13 0.5×	13	339
Sara Balzano Italy	4	119 1.1×	168 1.7×	29 0.5×	66 1.6×	22 0.8×	5	363
N. Rajković Serbia	9	62 0.6×	63 0.6×	28 0.5×	28 0.7×	13 0.5×	23	254
J Pembroke United Kingdom	5	59 0.6×	32 0.3×	65 1.1×	96 2.3×	9 0.3×	8	165

Countries citing papers authored by Abiodun Onipinla

Since Specialization

Citations

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

Fields of papers citing papers by Abiodun Onipinla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abiodun Onipinla

This figure shows the co-authorship network connecting the top 25 collaborators of Abiodun Onipinla. A scholar is included among the top collaborators of Abiodun Onipinla 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 Abiodun Onipinla. Abiodun Onipinla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Yousaf, Nasim, Abiodun Onipinla, Charles A. Mein, et al.. (2014). Differences between disease-associated endoplasmic reticulum aminopeptidase 1 (ERAP1) isoforms in cellular expression, interactions with tumour necrosis factor receptor 1 (TNF-R1) and regulation by cytokines. Clinical & Experimental Immunology. 180(2). 289–304. 8 indexed citations

Wallace, Chris, Mingzhan Xue, Stephen Newhouse, et al.. (2006). Linkage Analysis Using Co-Phenotypes in the BRIGHT Study Reveals Novel Potential Susceptibility Loci for Hypertension. The American Journal of Human Genetics. 79(2). 323–331. 21 indexed citations

Munroe, Patricia B., Chris Wallace, Mingzhan Xue, et al.. (2006). Increased Support for Linkage of a Novel Locus on Chromosome 5q13 for Essential Hypertension in the British Genetics of Hypertension Study. Hypertension. 48(1). 105–111. 20 indexed citations

Munroe, Patricia B., Chris Wallace, Charles A. Mein, et al.. (2005). Enhanced support for linkage to chromosome 5q13.1 and hypertension in the British Genetics of Hypertension (BRIGHT) study.. Hypertension. 46(4). 892–892. 1 indexed citations

Onipinla, Abiodun, et al.. (2005). Recent advances in the identification of genes for human hypertension. Expert Review of Cardiovascular Therapy. 3(4). 733–741. 4 indexed citations

Zhu, Haidong, Giuseppe A. Sagnella, Yanbin Dong, et al.. (2004). Molecular variants of the sodium/hydrogen exchanger type 3 gene and essential hypertension. Journal of Hypertension. 22(7). 1269–1275. 15 indexed citations

Zhu, Haidong, Giuseppe A. Sagnella, Yanbin Dong, et al.. (2003). Contrasting associations between aldosterone synthase gene polymorphisms and essential hypertension in blacks and in whites. Journal of Hypertension. 21(1). 87–95. 45 indexed citations

Sagnella, Giuseppe A., et al.. (1999). A population study of ethnic variations in the angiotensin-converting enzyme I/D polymorphism. Journal of Hypertension. 17(5). 657–664. 92 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.

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