Mike Kay

26.8k total citations
3 papers, 68 citations indexed

About

Mike Kay is a scholar working on Molecular Biology, Pharmacology and Pathology and Forensic Medicine. According to data from OpenAlex, Mike Kay has authored 3 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Pharmacology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Mike Kay's work include Machine Learning in Bioinformatics (1 paper), Science, Research, and Medicine (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). Mike Kay is often cited by papers focused on Machine Learning in Bioinformatics (1 paper), Science, Research, and Medicine (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). Mike Kay collaborates with scholars based in United Kingdom, Switzerland and Australia. Mike Kay's co-authors include Jeannette M. Byrne, Steven J. Kamper, Claire Davidson, Susan Tweedie, Adam Frankish, Elspeth A. Bruford, Yue Li, Jonathan M. Mudge, Jyoti S. Choudhary and Amanda Häll and has published in prestigious journals such as Genome Research, BMJ and Physiotherapy Canada.

In The Last Decade

Mike Kay

2 papers receiving 68 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mike Kay United Kingdom	2	40	20	17	11	9	3	68
John Sharpe Japan	6	19 0.5×	9 0.5×	5 0.3×	9 0.8×	3 0.3×	8	65
Alberto Goday Arnó Spain	5	10 0.3×	8 0.4×	8 0.5×	8 0.7×	1 0.1×	11	47
Masoumeh Abbasi Iran	4	23 0.6×	21 1.1×		4 0.4×	5 0.6×	8	84
Francis Rossignol United States	5	32 0.8×	7 0.3×	1 0.1×	25 2.3×	3 0.3×	10	95
Wendy Poage United States	4	7 0.2×	10 0.5×	4 0.2×	2 0.2×	2 0.2×	9	38
Amanda Smart United States	4	27 0.7×	3 0.1×	3 0.2×	2 0.2×	2 0.2×	6	78
Oliver Timmis United Kingdom	6	44 1.1×	3 0.1×	1 0.1×	7 0.6×	16 1.8×	6	115
U. Moore United Kingdom	7	28 0.7×	26 1.3×		16 1.5×		15	100
Ahmed Mahmood Iraq	6	14 0.3×	10 0.5×	4 0.2×	2 0.2×		31	76
Nandhini Sadagopan United States	3	27 0.7×	6 0.3×	5 0.3×			4	43

Countries citing papers authored by Mike Kay

Since Specialization

Citations

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

Fields of papers citing papers by Mike Kay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Kay

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

All Works

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3 of 3 papers shown

1.

Mudge, Jonathan M., Irwin Jungreis, Toby Hunt, et al.. (2019). Discovery of high-confidence human protein-coding genes and exons by whole-genome PhyloCSF helps elucidate 118 GWAS loci. Genome Research. 29(12). 2073–2087. 43 indexed citations

2.

Kamper, Steven J., et al.. (2017). What Do Patients with Chronic Spinal Pain Expect from Their Physiotherapist?. Physiotherapy Canada. 70(1). 36–41. 25 indexed citations

3.

Kay, Mike. (2014). Indian Supreme Court demands clarity on clinical trial approvals. BMJ. 349(jul03 13). g4383–g4383.

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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