Cushla McKinney

35 total papers · 843 total citations
15 papers, 486 citations indexed

About

Cushla McKinney is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Cushla McKinney has authored 15 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Genetics. Recurrent topics in Cushla McKinney's work include Immunodeficiency and Autoimmune Disorders (4 papers), RNA and protein synthesis mechanisms (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). Cushla McKinney is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (4 papers), RNA and protein synthesis mechanisms (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). Cushla McKinney collaborates with scholars based in New Zealand, France and United Kingdom. Cushla McKinney's co-authors include Tony R. Merriman, Lisa K. Stamp, Robert W Bentley, Richard B. Gearry, Murray L. Barclay, Rebecca L Roberts, John F. Pearson, Myfanwy B. Spellerberg, John Highton and Peter T. Chapman and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Journal of Neurochemistry.

In The Last Decade

Cushla McKinney

15 papers receiving 478 citations

Author Peers

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

Author						Papers	Cites
Cushla McKinney	218	157	125	74	56	15	486
Emancipator Sn	82 0.4×	78 0.5×	154 1.2×	173 2.3×	47 0.8×	10	423
Guilherme Rocha	121 0.6×	60 0.4×	132 1.1×	53 0.7×	216 3.9×	24	515
Ryan Schlimgen	169 0.8×	76 0.5×	263 2.1×	20 0.3×	74 1.3×	11	526
John L. Duffy	135 0.6×	80 0.5×	52 0.4×	163 2.2×	41 0.7×	23	458
Guylène Bertrand	179 0.8×	93 0.6×	49 0.4×	43 0.6×	40 0.7×	16	408
Hui‐Chien Kuo	206 0.9×	252 1.6×	62 0.5×	34 0.5×	38 0.7×	18	542
M Macanović	123 0.6×	33 0.2×	208 1.7×	74 1.0×	111 2.0×	16	407
S Bettoni	140 0.6×	32 0.2×	241 1.9×	43 0.6×	39 0.7×	15	511
Thomas B. Okarma	234 1.1×	187 1.2×	139 1.1×	8 0.1×	38 0.7×	21	527
M. Q. Lacy	425 1.9×	131 0.8×	28 0.2×	140 1.9×	34 0.6×	11	549

Countries citing papers authored by Cushla McKinney

Since Specialization

Citations

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

Fields of papers citing papers by Cushla McKinney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cushla McKinney

This figure shows the co-authorship network connecting the top 25 collaborators of Cushla McKinney. A scholar is included among the top collaborators of Cushla McKinney 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 Cushla McKinney. Cushla McKinney 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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