Philip J. Shaw

2.4k total citations
52 papers, 1.6k citations indexed

About

Philip J. Shaw is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Philip J. Shaw has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 16 papers in Public Health, Environmental and Occupational Health and 10 papers in Genetics. Recurrent topics in Philip J. Shaw's work include Malaria Research and Control (16 papers), RNA and protein synthesis mechanisms (9 papers) and Genomics and Phylogenetic Studies (7 papers). Philip J. Shaw is often cited by papers focused on Malaria Research and Control (16 papers), RNA and protein synthesis mechanisms (9 papers) and Genomics and Phylogenetic Studies (7 papers). Philip J. Shaw collaborates with scholars based in Thailand, United Kingdom and United States. Philip J. Shaw's co-authors include Sumalee Kamchonwongpaisan, Yongyuth Yuthavong, Alistair P. McGregor, Chayaphat Wongsombat, Fred T. Bosman, Gabriel A. Dover, Sissades Tongsima, Nico van Belzen, Chairat Uthaipibull and Pascal Chaubert and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Philip J. Shaw

52 papers receiving 1.5k citations

Peers

Philip J. Shaw
Arthur M. Talman United Kingdom
Vel Murugan United States
Stéphane Simon French Guiana
Philip J. Shaw
Citations per year, relative to Philip J. Shaw Philip J. Shaw (= 1×) peers Anne‐Marie Zeeman

Countries citing papers authored by Philip J. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip J. Shaw. 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 Philip J. Shaw. The network helps show where Philip J. Shaw may publish in the future.

Co-authorship network of co-authors of Philip J. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Shaw. A scholar is included among the top collaborators of Philip J. Shaw 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 Philip J. Shaw. Philip J. Shaw 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.
Koonyosying, Pimpisid, Jetsada Ruangsuriya, Parichat Prommana, et al.. (2023). Antagonistic antimalarial properties of a methoxyamino chalcone derivative and 3-hydroxypyridinones in combination with dihydroartemisinin against Plasmodium falciparum. PeerJ. 11. e15187–e15187. 4 indexed citations
2.
Wongsombat, Chayaphat, et al.. (2021). Identification of mRNA 5′ cap-associated proteins in the human malaria parasite Plasmodium falciparum. Molecular and Biochemical Parasitology. 247. 111443–111443. 2 indexed citations
3.
Shaw, Philip J., et al.. (2017). Tools for attenuation of gene expression in malaria parasites. International Journal for Parasitology. 47(7). 385–398. 2 indexed citations
4.
Kaewprommal, Pavita, et al.. (2017). ToNER: A tool for identifying nucleotide enrichment signals in feature-enriched RNA-seq data. PLoS ONE. 12(5). e0178483–e0178483. 4 indexed citations
5.
Songsungthong, Warangkhana, Chairat Uthaipibull, Sumalee Kamchonwongpaisan, et al.. (2016). Identifying antimalarial compounds targeting dihydrofolate reductase-thymidylate synthase (DHFR-TS) by chemogenomic profiling. International Journal for Parasitology. 46(8). 527–535. 18 indexed citations
6.
Shaw, Philip J., Pavita Kaewprommal, Jittima Piriyapongsa, et al.. (2015). Plasmodium parasites mount an arrest response to dihydroartemisinin, as revealed by whole transcriptome shotgun sequencing (RNA-seq) and microarray study. BMC Genomics. 16(1). 830–830. 20 indexed citations
7.
Wongsombat, Chayaphat, Sumalee Kamchonwongpaisan, Hugh P. Morgan, et al.. (2014). Molecular characterization of Plasmodium falciparum Bruno/CELF RNA binding proteins. Molecular and Biochemical Parasitology. 198(1). 1–10. 9 indexed citations
8.
Sleebs, Brad E., Sash Lopaticki, Danushka S. Marapana, et al.. (2014). Inhibition of Plasmepsin V Activity Demonstrates Its Essential Role in Protein Export, PfEMP1 Display, and Survival of Malaria Parasites. PLoS Biology. 12(7). e1001897–e1001897. 113 indexed citations
9.
Shaw, Philip J., et al.. (2011). Global gene expression profiling of Plasmodium falciparum in response to the anti-malarial drug pyronaridine. Malaria Journal. 10(1). 242–242. 10 indexed citations
10.
Tongsima, Sissades, Anunchai Assawamakin, Jittima Piriyapongsa, & Philip J. Shaw. (2011). Comparative View of In Silico DNA Sequencing Analysis Tools. Methods in molecular biology. 760. 207–221. 2 indexed citations
11.
Intarapanich, Apichart, Anunchai Assawamakin, Philip J. Shaw, et al.. (2011). Study of large and highly stratified population datasets by combining iterative pruning principal component analysis and structure. BMC Bioinformatics. 12(1). 255–255. 21 indexed citations
12.
Shaw, Philip J., et al.. (2010). Formation of catalytically active cross-species heterodimers of thymidylate synthase from Plasmodium falciparum and Plasmodium vivax. Molecular Biology Reports. 38(2). 1029–1037. 6 indexed citations
13.
Lozovsky, Elena R., Thanat Chookajorn, K M Brown, et al.. (2009). Stepwise acquisition of pyrimethamine resistance in the malaria parasite. Proceedings of the National Academy of Sciences. 106(29). 12025–12030. 202 indexed citations
14.
Bawankar, Praveen, et al.. (2009). 5′ and 3′ end modifications of spliceosomal RNAs in Plasmodium falciparum. Molecular Biology Reports. 37(4). 2125–2133. 8 indexed citations
15.
Lemke, Steffen, et al.. (2008). bicoid occurrence and Bicoid‐dependent hunchback regulation in lower cyclorrhaphan flies. Evolution & Development. 10(4). 413–420. 31 indexed citations
16.
Shaw, Philip J., et al.. (2007). Characterization of human malaria parasite Plasmodium falciparum eIF4E homologue and mRNA 5′ cap status. Molecular and Biochemical Parasitology. 155(2). 146–155. 20 indexed citations
17.
McGregor, Alistair P., et al.. (2006). Evolutionary and functional analysis of the tailless enhancer in Musca domestica and Drosophila melanogaster. Evolution & Development. 8(1). 6–15. 28 indexed citations
18.
Shaw, Philip J., et al.. (2002). Expression of NDRG1, a differentiation-related gene, in human tissues. Histochemistry and Cell Biology. 118(5). 399–408. 170 indexed citations
19.
McGregor, Alistair P., Philip J. Shaw, John M. Hancock, et al.. (2001). Rapid restructuring of bicoid‐dependent hunchback promoters within and between Dipteran species: implications for molecular coevolution. Evolution & Development. 3(6). 397–407. 54 indexed citations
20.
Shaw, Philip J., Ahmad Salameh, Alistair P. McGregor, Sendu Bala, & Gabriel A. Dover. (2001). Divergent structure and function of the bicoid gene in Muscoidea fly species. Evolution & Development. 3(4). 251–262. 30 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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