Paul S. Carter

2.9k total citations · 1 hit paper
10 papers, 1.2k citations indexed

About

Paul S. Carter is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Paul S. Carter has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Organic Chemistry and 1 paper in Pharmacology. Recurrent topics in Paul S. Carter's work include RNA and protein synthesis mechanisms (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Cancer-related gene regulation (2 papers). Paul S. Carter is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Cancer-related gene regulation (2 papers). Paul S. Carter collaborates with scholars based in United Kingdom, France and United States. Paul S. Carter's co-authors include Murray J. B. Brown, Alastair D. Reith, David G. Smith, Ainsley A. Culbert, Kenneth Murray, Darren A.E. Cross, David Haigh, Oliver Rausch, John Yates and Gregory Murphy and has published in prestigious journals such as Analytical Biochemistry, Journal of Medicinal Chemistry and Structure.

In The Last Decade

Paul S. Carter

10 papers receiving 1.2k citations

Hit Papers

Selective small molecule inhibitors of glycogen synthase ... 2000 2026 2008 2017 2000 250 500 750

Peers

Paul S. Carter
Eileen J. Kennedy United States
Oliver Rausch United Kingdom
Renae K. Barr Australia
Kenneth D. Bromberg United States
Joyce T. Coll United States
J. Wadsworth United Kingdom
Longchuan Chen United States
Paul S. Carter
Citations per year, relative to Paul S. Carter Paul S. Carter (= 1×) peers Christiane Quiniou

Countries citing papers authored by Paul S. Carter

Since Specialization
Citations

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

Fields of papers citing papers by Paul S. Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul S. Carter

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

All Works

10 of 10 papers shown
1.
Borthwick, Alan D., Nicolas Ancellin, Sophie M. Bertrand, et al.. (2016). Structurally Diverse Mitochondrial Branched Chain Aminotransferase (BCATm) Leads with Varying Binding Modes Identified by Fragment Screening. Journal of Medicinal Chemistry. 59(6). 2452–2467. 27 indexed citations
2.
Li, Min, Paolo Luraghi, Augustin Amour, et al.. (2008). Kinetic assay for characterization of spleen tyrosine kinase activity and inhibition with recombinant kinase and crude cell lysates. Analytical Biochemistry. 384(1). 56–67. 15 indexed citations
3.
Smith, Kathrine J., Paul S. Carter, Angela Bridges, et al.. (2004). The Structure of MSK1 Reveals a Novel Autoinhibitory Conformation for a Dual Kinase Protein. Structure. 12(6). 1067–1077. 41 indexed citations
4.
Carter, Paul S. & Paul E. Banwell. (2004). Necrotising fasciitis: a new management algorithm based on clinical classification. International Wound Journal. 1(3). 189–198. 43 indexed citations
5.
Carter, Paul S., David Mills, Gary Pettman, et al.. (2002). Expression and Purification of Functional JNK2β2: Perspectives on High-Level Production of Recombinant MAP Kinases. Protein Expression and Purification. 24(1). 25–32. 5 indexed citations
6.
Brown, Murray J. B., Paul S. Carter, Ashley Fenwick, et al.. (2002). The antimicrobial natural product chuangxinmycin and Some synthetic analogues are potent and selective inhibitors of bacterial tryptophanyl tRNA synthetase. Bioorganic & Medicinal Chemistry Letters. 12(21). 3171–3174. 124 indexed citations
7.
Bax, B.D., Paul S. Carter, Ceri Lewis, et al.. (2001). The Structure of Phosphorylated GSK-3β Complexed with a Peptide, FRATtide, that Inhibits β-Catenin Phosphorylation. Structure. 9(12). 1143–1152. 172 indexed citations
8.
Hubbard, Julia, Lesley K. MacLachlan, Peter Johnson, et al.. (2001). A Method for Identification of Inhibitors of the Phosphorylation Reactions of Bacterial Response Regulator Proteins Using 31P Nuclear Magnetic Resonance Spectroscopy. Analytical Biochemistry. 299(1). 31–36. 2 indexed citations
9.
Coghlan, Matthew P., Ainsley A. Culbert, Darren A.E. Cross, et al.. (2000). Selective small molecule inhibitors of glycogen synthase kinase-3 modulate glycogen metabolism and gene transcription. Chemistry & Biology. 7(10). 793–803. 771 indexed citations breakdown →
10.
Carter, Paul S., Sandra Turconi, Gary Pettman, et al.. (2000). Expression, Purification, and Functional Analysis of the Human Serine Protease HtrA2. Protein Expression and Purification. 19(2). 227–234. 49 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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