Philippa J. Webster

4.1k total citations
9 papers, 802 citations indexed

About

Philippa J. Webster is a scholar working on Molecular Biology, Global and Planetary Change and Parasitology. According to data from OpenAlex, Philippa J. Webster has authored 9 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Global and Planetary Change and 2 papers in Parasitology. Recurrent topics in Philippa J. Webster's work include RNA Research and Splicing (3 papers), Developmental Biology and Gene Regulation (3 papers) and Marine Ecology and Invasive Species (2 papers). Philippa J. Webster is often cited by papers focused on RNA Research and Splicing (3 papers), Developmental Biology and Gene Regulation (3 papers) and Marine Ecology and Invasive Species (2 papers). Philippa J. Webster collaborates with scholars based in United States and Canada. Philippa J. Webster's co-authors include Paul M. Macdonald, Tag E. Mansour, Celeste A. Berg, Paul Lasko, Lu Liang, Jeffrey L. Smith, Jeongsil Kim‐Ha, Lucas Dennis, Stacia K. Wyman and Muneesh Tewari and has published in prestigious journals such as Genes & Development, Development and Nature Methods.

In The Last Decade

Philippa J. Webster

8 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippa J. Webster United States 8 688 204 90 76 51 9 802
Luc Paillard France 19 1.2k 1.7× 141 0.7× 117 1.3× 40 0.5× 111 2.2× 46 1.3k
Timothy J. Dahlem United States 11 707 1.0× 52 0.3× 158 1.8× 82 1.1× 57 1.1× 12 890
Keely S. Solomon United States 8 395 0.6× 61 0.3× 102 1.1× 89 1.2× 15 0.3× 8 538
Emma E. Saffman Canada 6 680 1.0× 35 0.2× 303 3.4× 102 1.3× 62 1.2× 6 824
Xantha Karp United States 13 338 0.5× 120 0.6× 45 0.5× 16 0.2× 31 0.6× 18 645
Arif Kocabas United States 14 741 1.1× 115 0.6× 331 3.7× 66 0.9× 70 1.4× 20 1.1k
Maria Gallegos United States 9 1.1k 1.6× 28 0.1× 182 2.0× 89 1.2× 86 1.7× 12 1.5k
Chunyao Wei United States 12 826 1.2× 304 1.5× 229 2.5× 86 1.1× 28 0.5× 15 981
Sergio González‐Crespo Spain 13 643 0.9× 34 0.2× 202 2.2× 80 1.1× 163 3.2× 18 793
Jun Wei Pek Singapore 15 663 1.0× 253 1.2× 67 0.7× 137 1.8× 16 0.3× 29 742

Countries citing papers authored by Philippa J. Webster

Since Specialization
Citations

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

Fields of papers citing papers by Philippa J. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippa J. Webster

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

All Works

9 of 9 papers shown
1.
Wu, Lucia R., John Fang, Alessandro Pinto, et al.. (2015). Continuously tunable nucleic acid hybridization probes. Nature Methods. 12(12). 1191–1196. 51 indexed citations
2.
Wyman, Stacia K., Emily C. Knouf, Rachael K. Parkin, et al.. (2011). Post-transcriptional generation of miRNA variants by multiple nucleotidyl transferases contributes to miRNA transcriptome complexity. Genome Research. 21(9). 1450–1461. 234 indexed citations
3.
Okada, Shannon, Jeff L. Ellsworth, Diane M. Durnam, et al.. (2005). A Glycoprotein Hormone Expressed in Corticotrophs Exhibits Unique Binding Properties on Thyroid-Stimulating Hormone Receptor. Molecular Endocrinology. 20(2). 414–425. 66 indexed citations
4.
Webster, Philippa J. & Paul M. Macdonald. (2003). Screening Expression Libraries with Solution-Based Assay. Humana Press eBooks. 118. 257–264.
5.
Webster, Philippa J., Lu Liang, Celeste A. Berg, Paul Lasko, & Paul M. Macdonald. (1997). Translational repressorbruno plays multiple roles in development and is widely conserved. Genes & Development. 11(19). 2510–2521. 184 indexed citations
6.
Webster, Philippa J., et al.. (1994). Drosophila virilis oskar transgenes direct body patterning but not pole cell formation or maintenance of mRNA localization in D. melanogaster. Development. 120(7). 2027–2037. 38 indexed citations
7.
Kim‐Ha, Jeongsil, Philippa J. Webster, Jeffrey L. Smith, & Paul M. Macdonald. (1993). Multiple RNA regulatory elements mediate distinct steps in localization of oskar mRNA. Development. 119(1). 169–178. 141 indexed citations
8.
Webster, Philippa J., et al.. (1992). A cDNA encoding an α-tubulin from Schistosoma mansoni. Molecular and Biochemical Parasitology. 51(1). 169–170. 21 indexed citations
9.
Webster, Philippa J. & Tag E. Mansour. (1992). Conserved classes of homeodomains in Schistosoma mansoni, an early bilateral metazoan. Mechanisms of Development. 38(1). 25–32. 67 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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