Mike Starkey

1.5k total citations
23 papers, 629 citations indexed

About

Mike Starkey is a scholar working on Pulmonary and Respiratory Medicine, Small Animals and Molecular Biology. According to data from OpenAlex, Mike Starkey has authored 23 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 10 papers in Small Animals and 9 papers in Molecular Biology. Recurrent topics in Mike Starkey's work include Veterinary Oncology Research (15 papers), Infectious Diseases and Mycology (10 papers) and Virus-based gene therapy research (4 papers). Mike Starkey is often cited by papers focused on Veterinary Oncology Research (15 papers), Infectious Diseases and Mycology (10 papers) and Virus-based gene therapy research (4 papers). Mike Starkey collaborates with scholars based in United Kingdom, United States and Sweden. Mike Starkey's co-authors include Margaret M. Ryan, Sue Murphy, David G. Standaert, P.C. Emson, S.J. Augood, Sabine Bahn, Piers C. Emson, Richard L. M. Faull, Patrick J. Lynch and Kenneth S. Rankin and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Mike Starkey

22 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mike Starkey United Kingdom 12 301 173 142 116 96 23 629
Eija H. Seppälä Finland 17 436 1.4× 186 1.1× 417 2.9× 94 0.8× 32 0.3× 34 1.1k
Mineto Ota Japan 18 269 0.9× 81 0.5× 107 0.8× 56 0.5× 24 0.3× 68 887
Kaname Saida Japan 15 268 0.9× 89 0.5× 45 0.3× 321 2.8× 10 0.1× 52 652
P. Gallì Italy 14 180 0.6× 33 0.2× 64 0.5× 62 0.5× 20 0.2× 27 625
Mounira Hmani‐Aifa Tunisia 14 274 0.9× 77 0.4× 124 0.9× 123 1.1× 12 0.1× 19 706
Jagjivan R. Mehta United States 13 188 0.6× 53 0.3× 22 0.2× 82 0.7× 24 0.3× 25 443
Stine Rasmussen Denmark 10 147 0.5× 40 0.2× 34 0.2× 34 0.3× 33 0.3× 10 729
Tinneke Denayer Belgium 9 454 1.5× 27 0.2× 71 0.5× 32 0.3× 30 0.3× 12 788
Catherine Pythoud Switzerland 14 429 1.4× 20 0.1× 135 1.0× 112 1.0× 20 0.2× 18 819
Lauren M. Brown Australia 16 344 1.1× 45 0.3× 88 0.6× 22 0.2× 15 0.2× 27 775

Countries citing papers authored by Mike Starkey

Since Specialization
Citations

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

Fields of papers citing papers by Mike Starkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Starkey

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

All Works

20 of 20 papers shown
1.
Letko, Anna, Katie M. Minor, Voichita D. Marinescu, et al.. (2021). Genome-Wide Analyses for Osteosarcoma in Leonberger Dogs Reveal the CDKN2A/B Gene Locus as a Major Risk Locus. Genes. 12(12). 1964–1964. 10 indexed citations
2.
Biasoli, Deborah, Gerry Polton, Riccardo Finotello, et al.. (2020). Mast cell tumours in dogs less than 12 months of age: a multi‐institutional retrospective study. Journal of Small Animal Practice. 61(7). 449–457. 7 indexed citations
3.
Biasoli, Deborah, Sally L. Ricketts, Céline Courtay-Cahen, et al.. (2019). A synonymous germline variant in a gene encoding a cell adhesion molecule is associated with cutaneous mast cell tumour development in Labrador and Golden Retrievers. PLoS Genetics. 15(3). e1007967–e1007967. 11 indexed citations
4.
Selmic, Laura E., Sue Murphy, Laura Blackwood, et al.. (2019). Genome-wide analysis of canine oral malignant melanoma metastasis-associated gene expression. Scientific Reports. 9(1). 6511–6511. 17 indexed citations
5.
Biasoli, Deborah, Elena Fineberg, Sue Murphy, et al.. (2018). Identification of molecular genetic contributants to canine cutaneous mast cell tumour metastasis by global gene expression analysis. PLoS ONE. 13(12). e0208026–e0208026. 11 indexed citations
6.
Hollis, A. R. & Mike Starkey. (2018). MicroRNAs in equine veterinary science. Equine Veterinary Journal. 50(6). 721–726. 7 indexed citations
7.
Ireland, Joanne L., et al.. (2017). A preliminary investigation of the effect of sample collection technique on the cell and RNA content of fine‐needle aspirates of five canine tumours. Journal of Small Animal Practice. 59(4). 211–221. 6 indexed citations
8.
Starkey, Mike, et al.. (2017). Metastasis‐associatedmicroRNAexpression in canine uveal melanoma. Veterinary and Comparative Oncology. 16(1). 81–89. 16 indexed citations
9.
Melin, Malin, Patricio Rivera, Maja L. Arendt, et al.. (2016). Genome-Wide Analysis Identifies Germ-Line Risk Factors Associated with Canine Mammary Tumours. PLoS Genetics. 12(5). e1006029–e1006029. 21 indexed citations
10.
Arendt, Maja L., Malin Melin, Noriko Tonomura, et al.. (2015). Genome-Wide Association Study of Golden Retrievers Identifies Germ-Line Risk Factors Predisposing to Mast Cell Tumours. PLoS Genetics. 11(11). e1005647–e1005647. 37 indexed citations
11.
Newton, Richard, et al.. (2014). Prospective study to investigate the use of fine needle aspiration techniques in UK veterinary practice. Journal of Small Animal Practice. 55(8). 409–414. 3 indexed citations
12.
Rankin, Kenneth S., Mike Starkey, John Lunec, et al.. (2011). Of dogs and men: Comparative biology as a tool for the discovery of novel biomarkers and drug development targets in osteosarcoma. Pediatric Blood & Cancer. 58(3). 327–333. 50 indexed citations
13.
Starkey, Mike & Sue Murphy. (2009). Using lymph node fine needle aspirates for gene expression profiling of canine lymphoma. Veterinary and Comparative Oncology. 8(1). 56–71. 7 indexed citations
14.
Courtay-Cahen, Céline, Simon R. Platt, Luisa De Risio, & Mike Starkey. (2008). Preliminary analysis of genomic abnormalities in canine meningiomas. Veterinary and Comparative Oncology. 6(3). 182–192. 11 indexed citations
15.
Starkey, Mike, et al.. (2008). Genomics Protocols. Methods in molecular biology. 1 indexed citations
16.
Courtay-Cahen, Céline, et al.. (2007). Extensive coloured identification of dog chromosomes to support karyotype studies: the colour code. Cytogenetic and Genome Research. 116(3). 198–204. 2 indexed citations
17.
Lynch, Patrick J., et al.. (2006). Gene expression profiles of metabolic enzyme transcripts in Alzheimer's disease. Brain Research. 1127(1). 127–135. 134 indexed citations
18.
Starkey, Mike. (2005). Dogs really are man's best friend--Canine genomics has applications in veterinary and human medicine!. Briefings in Functional Genomics and Proteomics. 4(2). 112–128. 100 indexed citations
19.
Bahn, Sabine, S.J. Augood, Margaret M. Ryan, et al.. (2001). Gene expression profiling in the post-mortem human brain — no cause for dismay. Journal of Chemical Neuroanatomy. 22(1-2). 79–94. 122 indexed citations
20.
Pong, Alice, et al.. (1998). Tuberculosis Screening at 2 San Diego High Schools With High-Risk Populations. Archives of Pediatrics and Adolescent Medicine. 152(7). 646–50. 15 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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