Gracey N. Onuoha

30 total papers · 521 total citations
24 papers, 444 citations indexed

About

Gracey N. Onuoha is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Gracey N. Onuoha has authored 24 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 10 papers in Cellular and Molecular Neuroscience and 5 papers in Surgery. Recurrent topics in Gracey N. Onuoha's work include Neuropeptides and Animal Physiology (10 papers), Heart Failure Treatment and Management (9 papers) and Receptor Mechanisms and Signaling (3 papers). Gracey N. Onuoha is often cited by papers focused on Neuropeptides and Animal Physiology (10 papers), Heart Failure Treatment and Management (9 papers) and Receptor Mechanisms and Signaling (3 papers). Gracey N. Onuoha collaborates with scholars based in United Kingdom, Ireland and France. Gracey N. Onuoha's co-authors include E.K. Alpar, DP Nicholls, Vijay V. Kıllampallı, K.D. Buchanan, Ruth Waters, T. R. O. Beringer, Amanda Patterson, C. Shaw, I C Steele and A. M. Nugent and has published in prestigious journals such as Life Sciences, Peptides and International Journal of Cardiology.

In The Last Decade

Gracey N. Onuoha

24 papers receiving 424 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gracey N. Onuoha 136 129 83 76 73 24 444
Xinchuan Wei 86 0.6× 66 0.5× 60 0.7× 102 1.3× 83 1.1× 22 428
E. B. French 60 0.4× 77 0.6× 107 1.3× 42 0.6× 88 1.2× 26 479
P. Bouloux 77 0.6× 99 0.8× 75 0.9× 48 0.6× 72 1.0× 17 472
Reynolds Dg 179 1.3× 84 0.7× 57 0.7× 148 1.9× 63 0.9× 22 383
B. N. Davies 111 0.8× 84 0.7× 61 0.7× 109 1.4× 126 1.7× 16 476
M.H. Pietraszek 78 0.6× 81 0.6× 56 0.7× 49 0.6× 70 1.0× 29 397
Reuben D. Stein 85 0.6× 191 1.5× 162 2.0× 70 0.9× 88 1.2× 21 450
Antonio C. Quiroz 64 0.5× 252 2.0× 50 0.6× 74 1.0× 50 0.7× 35 434
T Murakawa 42 0.3× 82 0.6× 62 0.7× 69 0.9× 93 1.3× 22 441
Sheila Jennett 49 0.4× 75 0.6× 63 0.8× 52 0.7× 96 1.3× 40 490

Countries citing papers authored by Gracey N. Onuoha

Since Specialization
Citations

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

Fields of papers citing papers by Gracey N. Onuoha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gracey N. Onuoha. 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 Gracey N. Onuoha. The network helps show where Gracey N. Onuoha may publish in the future.

Co-authorship network of co-authors of Gracey N. Onuoha

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

All Works

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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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