Phil S. Casey

722 total citations
8 papers, 554 citations indexed

About

Phil S. Casey is a scholar working on Polymers and Plastics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Phil S. Casey has authored 8 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Polymers and Plastics, 3 papers in Materials Chemistry and 2 papers in Biomedical Engineering. Recurrent topics in Phil S. Casey's work include Polymer Nanocomposites and Properties (3 papers), Polymer composites and self-healing (3 papers) and Nanoparticles: synthesis and applications (2 papers). Phil S. Casey is often cited by papers focused on Polymer Nanocomposites and Properties (3 papers), Polymer composites and self-healing (3 papers) and Nanoparticles: synthesis and applications (2 papers). Phil S. Casey collaborates with scholars based in Australia, Croatia and United Kingdom. Phil S. Casey's co-authors include Benu Adhikari, Harsharn Gill, Raju Adhikari, Tim H. Muster, Yakindra Prasad Timilsena, Bradley Finnigan, Kevin S. Jack, Darren J. Martin, R. W. Truss and Peter J. Halley and has published in prestigious journals such as Macromolecules, Journal of Applied Polymer Science and Journal of the Science of Food and Agriculture.

In The Last Decade

Phil S. Casey

8 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Phil S. Casey Australia	7	226	143	135	111	110	8	554
Yanyan Lu China	19	190 0.8×	86 0.6×	231 1.7×	260 2.3×	88 0.8×	52	1.4k
Gelton Geraldo Fernandes Guimarães Brazil	17	425 1.9×	199 1.4×	259 1.9×	134 1.2×	110 1.0×	36	872
Wagner Polito Brazil	15	331 1.5×	96 0.7×	89 0.7×	40 0.4×	77 0.7×	34	683
Sunguo Wang China	11	101 0.4×	97 0.7×	52 0.4×	189 1.7×	34 0.3×	20	648
Dongdong Cheng China	17	624 2.8×	96 0.7×	233 1.7×	165 1.5×	60 0.5×	38	998
Ricardo Bortoletto‐Santos Brazil	11	265 1.2×	51 0.4×	109 0.8×	84 0.8×	24 0.2×	28	450
Yafu Tang China	15	346 1.5×	63 0.4×	221 1.6×	150 1.4×	23 0.2×	23	669
Pyoungchung Kim United States	14	501 2.2×	137 1.0×	36 0.3×	64 0.6×	53 0.5×	25	813
Wen Li Peng China	8	410 1.8×	106 0.7×	75 0.6×	71 0.6×	31 0.3×	17	641
Mengyang Zhang China	19	113 0.5×	239 1.7×	316 2.3×	408 3.7×	54 0.5×	52	1.3k

Countries citing papers authored by Phil S. Casey

Since Specialization

Citations

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

Fields of papers citing papers by Phil S. Casey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phil S. Casey. 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 Phil S. Casey. The network helps show where Phil S. Casey may publish in the future.

Co-authorship network of co-authors of Phil S. Casey

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

All Works

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8 of 8 papers shown

Braunack, Michael, Vilim Filipović, Priscilla Johnston, et al.. (2020). Evaluation of a Sprayable Biodegradable Polymer Membrane (SBPM) Technology for soil water conservation in tomato and watermelon production systems. Agricultural Water Management. 243. 106446–106446. 13 indexed citations

Yin, Hong, Victoria A. Coleman, Phil S. Casey, et al.. (2015). A comparative study of the physical and chemical properties of nano-sized ZnO particles from multiple batches of three commercial products. Journal of Nanoparticle Research. 17(2). 23 indexed citations

Timilsena, Yakindra Prasad, Raju Adhikari, Phil S. Casey, et al.. (2014). Enhanced efficiency fertilisers: a review of formulation and nutrient release patterns. Journal of the Science of Food and Agriculture. 95(6). 1131–1142. 334 indexed citations

Gulson, Brian L., H.N.C. Wong, Maxine J. McCall, et al.. (2008). Dermal absorption of ZnO nanoparticles in sunscreen using the stable isotope approach. Toxicology Letters. 180. S222–S222. 4 indexed citations

Finnigan, Bradley, Phil S. Casey, David Cookson, et al.. (2007). Impact of controlled particle size nanofillers on the mechanical properties of segmented polyurethane nanocomposites. International Journal of Nanotechnology. 4(5). 496–496. 10 indexed citations

Gimbert, Laura J., Rebecca Hamon, Phil S. Casey, & Paul J. Worsfold. (2007). Partitioning and stability of engineered ZnO nanoparticles in soil suspensions using flow field-flow fractionation. Environmental Chemistry. 4(1). 8–10. 51 indexed citations

Finnigan, Bradley, Peter J. Halley, Kevin S. Jack, et al.. (2006). Effect of the average soft‐segment length on the morphology and properties of segmented polyurethane nanocomposites. Journal of Applied Polymer Science. 102(1). 128–139. 22 indexed citations

Finnigan, Bradley, Kevin S. Jack, Kayleen Campbell, et al.. (2005). Segmented Polyurethane Nanocomposites: Impact of Controlled Particle Size Nanofillers on the Morphological Response to Uniaxial Deformation. Macromolecules. 38(17). 7386–7396. 97 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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