Phillip Wilcox

1.2k total citations
42 papers, 689 citations indexed

About

Phillip Wilcox is a scholar working on Genetics, Molecular Biology and Biophysics. According to data from OpenAlex, Phillip Wilcox has authored 42 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 13 papers in Molecular Biology and 12 papers in Biophysics. Recurrent topics in Phillip Wilcox's work include Spectroscopy Techniques in Biomedical and Chemical Research (11 papers), Spectroscopy and Chemometric Analyses (7 papers) and Genetic diversity and population structure (7 papers). Phillip Wilcox is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (11 papers), Spectroscopy and Chemometric Analyses (7 papers) and Genetic diversity and population structure (7 papers). Phillip Wilcox collaborates with scholars based in United States, New Zealand and United Kingdom. Phillip Wilcox's co-authors include Anthony M. Lynch, Sarah Williamson, Jason A. Guicheteau, Emily Telfer, Natalie J. Graham, Steven D. Christesen, Augustus W. Fountain, Darren K. Emge, Māui Hudson and Erik D. Emmons and has published in prestigious journals such as PLoS ONE, Environmental Health Perspectives and Optics Express.

In The Last Decade

Phillip Wilcox

37 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip Wilcox United States 18 225 172 108 75 62 42 689
Wayne A. Johnston Australia 25 111 0.5× 942 5.5× 101 0.9× 202 2.7× 21 0.3× 86 1.7k
Scott H. Harrison United States 15 129 0.6× 350 2.0× 44 0.4× 19 0.3× 29 0.5× 51 815
Yunlin Fu China 14 498 2.2× 360 2.1× 125 1.2× 24 0.3× 19 0.3× 53 1.2k
Ghil Jona Israel 19 257 1.1× 1.7k 9.9× 103 1.0× 27 0.4× 37 0.6× 34 2.2k
Bashar Ibrahim Germany 23 112 0.5× 744 4.3× 147 1.4× 49 0.7× 15 0.2× 74 1.2k
Florian Bayer Germany 17 167 0.7× 585 3.4× 83 0.8× 57 0.8× 28 0.5× 31 1.1k
J. C. Lewis United States 16 84 0.4× 254 1.5× 77 0.7× 26 0.3× 29 0.5× 31 812
Olga Vasieva United Kingdom 19 152 0.7× 455 2.6× 148 1.4× 56 0.7× 49 0.8× 42 1.0k
Suvarna Nadendla United States 9 117 0.5× 742 4.3× 96 0.9× 27 0.4× 88 1.4× 20 1.1k
Alexander Rurainski Germany 7 54 0.2× 326 1.9× 56 0.5× 10 0.1× 17 0.3× 9 674

Countries citing papers authored by Phillip Wilcox

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Wilcox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Wilcox

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Wilcox. A scholar is included among the top collaborators of Phillip Wilcox 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 Phillip Wilcox. Phillip Wilcox 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.
Leask, Megan, Nicola Dalbeth, Lisa K. Stamp, et al.. (2025). Misclassified latent autoimmune diabetes in adults within Māori and Pacific adults with type 2 diabetes in Aotearoa New Zealand. New Zealand Medical Journal. 138(1626). 49–61.
2.
Emmons, Erik D., Marcel W. Pruessner, William S. Rabinovich, et al.. (2024). Foundry-based waveguide-enhanced Raman spectroscopy in the visible. Optics Express. 32(4). 4745–4745. 4 indexed citations
3.
Wilcox, Phillip, Debashish Munshi, Priya Kurian, et al.. (2024). Identifying Māori perspectives on gene editing in Aotearoa New Zealand. Communications Biology. 7(1). 221–221.
4.
Leask, Megan, Murray Cadzow, Nicola Dalbeth, et al.. (2023). Genetic testing for misclassified monogenic diabetes in Māori and Pacific peoples in Aōtearoa New Zealand with early-onset type 2 diabetes. Frontiers in Endocrinology. 14. 1174699–1174699. 1 indexed citations
5.
Emmons, Erik D., Marcel W. Pruessner, Phillip Wilcox, et al.. (2023). Waveguide-enhanced Raman spectroscopy using visible laser excitation. 5–5.
6.
Wilcox, Phillip, et al.. (2023). Quantitative Raman Cross-Sections and Band Assignments for Fentanyl and Fentanyl Analogs. Applied Spectroscopy. 77(5). 439–448. 6 indexed citations
7.
Freeman, Jules S., Gancho T. Slavov, Tancred Frickey, et al.. (2022). High density linkage maps, genetic architecture, and genomic prediction of growth and wood properties in Pinus radiata. BMC Genomics. 23(1). 731–731. 4 indexed citations
8.
Caron, Nadine R., Māui Hudson, Laura Arbour, et al.. (2020). Indigenous Genomic Databases: Pragmatic Considerations and Cultural Contexts. Frontiers in Public Health. 8. 111–111. 42 indexed citations
9.
Li, Yongjun, Jaroslav Klápště, Emily Telfer, et al.. (2019). Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information. BMC Genomics. 20(1). 1026–1026. 28 indexed citations
10.
Telfer, Emily, Natalie J. Graham, Yongjun Li, et al.. (2019). A high-density exome capture genotype-by-sequencing panel for forestry breeding in Pinus radiata. PLoS ONE. 14(9). e0222640–e0222640. 29 indexed citations
11.
Telfer, Emily, et al.. (2018). Approaches to variant discovery for conifer transcriptome sequencing. PLoS ONE. 13(11). e0205835–e0205835. 19 indexed citations
12.
13.
Roy, Éric, et al.. (2015). Detection of munitions grade G-series nerve agents using Raman excitation at 1064 nm. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9652. 965202–965202. 2 indexed citations
14.
Cadzow, Murray, James Boocock, Hoang T. Nguyen, et al.. (2014). A bioinformatics workflow for detecting signatures of selection in genomic data. Frontiers in Genetics. 5. 293–293. 53 indexed citations
15.
Lynch, Anthony M. & Phillip Wilcox. (2010). Review of the performance of the 3T3 NRU in vitro phototoxicity assay in the pharmaceutical industry. Experimental and Toxicologic Pathology. 63(3). 209–214. 43 indexed citations
16.
Lynch, Anthony M., Sharon A. Robinson, Phillip Wilcox, et al.. (2008). Cycloheximide and disulfoton are positive in the photoclastogencity assay but do not absorb UV irradiation: another example of pseudophotoclastogenicity?. Mutagenesis. 23(2). 111–118. 18 indexed citations
17.
Combes, Robert D., et al.. (2003). Early microdose drug studies in human volunteers can minimise animal testing: Proceedings of a workshop organised by Volunteers in Research and Testing. European Journal of Pharmaceutical Sciences. 19(1). 1–11. 57 indexed citations
18.
19.
Wilcox, Phillip & Sarah Williamson. (1986). Mutagenic activity of concentrated drinking water samples.. Environmental Health Perspectives. 69. 141–150. 42 indexed citations
20.
Frew, Robert, et al.. (1979). Proceedings of the 16th Design Automation Conference. Design Automation Conference. 21 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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