Phil Cash

1.9k total citations
37 papers, 1.3k citations indexed

About

Phil Cash is a scholar working on Epidemiology, Infectious Diseases and Genetics. According to data from OpenAlex, Phil Cash has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 11 papers in Infectious Diseases and 10 papers in Genetics. Recurrent topics in Phil Cash's work include Respiratory viral infections research (10 papers), Viral gastroenteritis research and epidemiology (7 papers) and Virus-based gene therapy research (6 papers). Phil Cash is often cited by papers focused on Respiratory viral infections research (10 papers), Viral gastroenteritis research and epidemiology (7 papers) and Virus-based gene therapy research (6 papers). Phil Cash collaborates with scholars based in United Kingdom, Canada and Norway. Phil Cash's co-authors include H. B. Gimenez, H.M. Keir, C. R. Pringle, Laura Lawrie, Graeme I. Murray, Ian R. Booth, Norman Hardman, William H. Wunner, Conor O’Byrne and Richard W. Smith and has published in prestigious journals such as PLoS ONE, Journal of Virology and Journal of Experimental Botany.

In The Last Decade

Phil Cash

37 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Phil Cash United Kingdom	23	463	362	348	169	165	37	1.3k
Patrick Fourquet France	22	323 0.7×	439 1.2×	234 0.7×	159 0.9×	149 0.9×	43	1.5k
Henrique Leonel Lenzi Brazil	32	634 1.4×	305 0.8×	422 1.2×	66 0.4×	832 5.0×	95	2.7k
C. David O’Connor United Kingdom	27	267 0.6×	969 2.7×	194 0.6×	441 2.6×	371 2.2×	58	2.0k
Frederick L. Schaffer United States	26	363 0.8×	312 0.9×	727 2.1×	245 1.4×	209 1.3×	59	1.8k
Felix Broecker Germany	26	466 1.0×	758 2.1×	470 1.4×	166 1.0×	299 1.8×	52	1.6k
Phillip Cash United Kingdom	18	167 0.4×	395 1.1×	137 0.4×	95 0.6×	121 0.7×	44	971
Valentino Cattori Switzerland	30	795 1.7×	259 0.7×	820 2.4×	680 4.0×	124 0.8×	53	3.1k
Charles F. Simpson United States	26	217 0.5×	346 1.0×	256 0.7×	218 1.3×	116 0.7×	160	2.4k
Paul Skipp United Kingdom	23	333 0.7×	588 1.6×	87 0.3×	88 0.5×	95 0.6×	63	1.5k
R.G. Bird United Kingdom	22	450 1.0×	376 1.0×	342 1.0×	170 1.0×	97 0.6×	76	2.0k

Countries citing papers authored by Phil Cash

Since Specialization

Citations

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

Fields of papers citing papers by Phil Cash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil Cash

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

All Works

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20 of 20 papers shown

Khan, Abdul Arif, et al.. (2021). Microbiota and cancer: current understanding and mechanistic implications. Clinical & Translational Oncology. 24(2). 193–202. 28 indexed citations

Bittaye, Mustapha, Phil Cash, & Ken J. Forbes. (2017). Proteomic variation and diversity in clinical Streptococcus pneumoniae isolates from invasive and non-invasive sites. PLoS ONE. 12(6). e0179075–e0179075. 3 indexed citations

Bittaye, Mustapha & Phil Cash. (2015). Streptococcus pneumoniaeproteomics: determinants of pathogenesis and vaccine development. Expert Review of Proteomics. 12(6). 607–621. 14 indexed citations

Smith, Richard W., Phil Cash, Stian Ellefsen, & Göran Nilsson. (2009). Proteomic changes in the crucian carp brain during exposure to anoxia. PROTEOMICS. 9(8). 2217–2229. 47 indexed citations

Fowler, Paul, Natalie Dorà, M. R. Amezaga, et al.. (2008). In utero exposure to low doses of environmental pollutants disrupts fetal ovarian development in sheep. Molecular Human Reproduction. 14(5). 269–280. 94 indexed citations

Gallacher, Susan, et al.. (2007). A Sensitive and Reliable Reverse Transcriptase PCR–Enzyme-Linked Immunosorbent Assay for the Detection of Human Pathogenic Viruses in Bivalve Molluscs. Journal of Food Protection. 70(6). 1475–1482. 6 indexed citations

Thornton, Barry, et al.. (2007). A proteomic and targeted metabolomic approach to investigate change in Lolium perenne roots when challenged with glycine. Journal of Experimental Botany. 58(7). 1581–1590. 23 indexed citations

Al‐Haroni, Mohammed, Nils Skaug, V. Bakken, & Phil Cash. (2007). Proteomic analysis of ampicillin‐resistant oral Fusobacterium nucleatum. Oral Microbiology and Immunology. 23(1). 36–42. 28 indexed citations

Fowler, Paul, D. R. Abramovich, Phil Cash, et al.. (2007). Human fetal testis Leydig cell disruption by exposure to the pesticide dieldrin at low concentrations. Human Reproduction. 22(11). 2919–2927. 45 indexed citations

10.

Ward-Deitrich, Christian, et al.. (2006). Growth‐induced changes in the proteome of Helicobacter pylori. Electrophoresis. 27(5-6). 1136–1146. 22 indexed citations

11.

Nabi, Ghulam, et al.. (2005). Proteomic analysis of urine in patients with intestinal segments transposed into the urinary tract. PROTEOMICS. 5(6). 1729–1733. 16 indexed citations

12.

Gallacher, Susan, et al.. (2005). A reliable RT-PCR–ELISA method for the detection of infectious pancreatic necrosis virus (IPNV) in farmed rainbow trout. Journal of Virological Methods. 132(1-2). 92–96. 17 indexed citations

13.

Chen, Songbi, I. Glazer, Natan Gollop, et al.. (2005). Proteomic analysis of the entomopathogenic nematode Steinernema feltiae IS-6 IJs under evaporative and osmotic stresses. Molecular and Biochemical Parasitology. 145(2). 195–204. 23 indexed citations

14.

Cash, Phil. (2002). Proteomics: the protein revolution.. PubMed. 49(2). 58–62. 7 indexed citations

15.

Lawrie, Laura, et al.. (2000). Proteomics: a new approach to the study of disease. The Journal of Pathology. 192(3). 280–288. 150 indexed citations

16.

Gow, John, et al.. (1997). Genomic and template RNA transcription in a model of persistent enteroviral infection. Journal of NeuroVirology. 3(1). 76–82. 6 indexed citations

17.

Argo, Evelyn, et al.. (1992). Non-cytopathic infection of rhabdomyosarcoma cells by coxsackie B5 virus. Archives of Virology. 126(1-4). 215–229. 17 indexed citations

18.

Gimenez, H. B., H.M. Keir, & Phil Cash. (1989). In vitro Enhancement of Respiratory Syncytial Virus Infection of U937 Cells by Human Sera. Journal of General Virology. 70(1). 89–96. 48 indexed citations

19.

Cash, Phil, et al.. (1986). Molecular epidemiology of human rotavirus. Journal of Hygiene. 96(2). 265–275. 16 indexed citations

20.

Cash, Phil. (1982). Inhibition of La Crosse Virus Replication by Monensin, a Monovalent Ionophore. Journal of General Virology. 59(1). 193–196. 7 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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