Paul R. Brown

1.1k total citations
53 papers, 923 citations indexed

About

Paul R. Brown is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Paul R. Brown has authored 53 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 11 papers in Materials Chemistry and 10 papers in Organic Chemistry. Recurrent topics in Paul R. Brown's work include Enzyme Structure and Function (9 papers), Peptidase Inhibition and Analysis (8 papers) and Bacterial Genetics and Biotechnology (8 papers). Paul R. Brown is often cited by papers focused on Enzyme Structure and Function (9 papers), Peptidase Inhibition and Analysis (8 papers) and Bacterial Genetics and Biotechnology (8 papers). Paul R. Brown collaborates with scholars based in United Kingdom, Portugal and United States. Paul R. Brown's co-authors include Carlos Novo, Mary Gregoriou, Patricia H. Clarke, Jackie Brown, Amin Karmali, Kenneth Murray, Jeremy P. Brockes, Sébastien Farnaud, K. H. Nicolaides and Brian J. Sutton and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Biomaterials.

In The Last Decade

Paul R. Brown

52 papers receiving 886 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul R. Brown United Kingdom 17 617 188 127 122 107 53 923
Kelly S. Magnuson United States 8 703 1.1× 133 0.7× 97 0.8× 70 0.6× 250 2.3× 8 1.1k
M. Oke United Kingdom 13 737 1.2× 226 1.2× 109 0.9× 110 0.9× 65 0.6× 20 1.0k
Falko Hochgräfe Germany 22 962 1.6× 156 0.8× 120 0.9× 72 0.6× 192 1.8× 35 1.4k
James A. Endrizzi United States 20 1.2k 1.9× 140 0.7× 305 2.4× 81 0.7× 87 0.8× 23 1.6k
John M. Whiteley United States 21 961 1.6× 377 2.0× 239 1.9× 134 1.1× 71 0.7× 65 1.4k
Claire G. Cupples Canada 21 1.5k 2.5× 538 2.9× 78 0.6× 108 0.9× 59 0.6× 32 1.7k
Dheeraj Khare United States 11 710 1.2× 290 1.5× 95 0.7× 71 0.6× 393 3.7× 14 1.1k
Vasundara Srinivasan Germany 16 726 1.2× 111 0.6× 122 1.0× 52 0.4× 144 1.3× 21 1.1k
Keiichi Hosokawa Japan 21 1.0k 1.7× 320 1.7× 76 0.6× 103 0.8× 71 0.7× 50 1.4k
M. Raymond V. Finlay United Kingdom 17 1.0k 1.6× 134 0.7× 137 1.1× 65 0.5× 246 2.3× 29 1.5k

Countries citing papers authored by Paul R. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Paul R. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul R. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Paul R. Brown. A scholar is included among the top collaborators of Paul R. Brown 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 R. Brown. Paul R. Brown 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.
Waudby, Christopher A., Saúl Álvarez–Teijeiro, E. Josue Ruiz, et al.. (2022). An intrinsic temporal order of c-JUN N-terminal phosphorylation regulates its activity by orchestrating co-factor recruitment. Nature Communications. 13(1). 6133–6133. 22 indexed citations
2.
Cresswell, Ian, Lee J. Baumgartner, Nick Bond, et al.. (2017). Scoping the development of a method to assess the relative environmental benefits of Complementary Measures. Charles Sturt University Research Output (CRO). 3 indexed citations
3.
Wang, Julie, Rebecca Klippstein, Mitla Garcia‐Maya, et al.. (2016). Engineering hepatitis B virus core particles for targeting HER2 receptors in vitro and in vivo. Biomaterials. 120. 126–138. 25 indexed citations
4.
Martino, Luigi, Jeffrey J. Babon, Tam T. T. Bui, et al.. (2010). Heterodimerization of the human RNase P/MRP subunits Rpp20 and Rpp25 is a prerequisite for interaction with the P3 arm of RNase MRP RNA. Nucleic Acids Research. 38(12). 4052–4066. 30 indexed citations
5.
Davies, Anna M., et al.. (2008). Structure of a putative acetyltransferase (PA1377) fromPseudomonas aeruginosa. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 64(5). 338–342. 2 indexed citations
7.
Brown, Paul R.. (2003). Changes in the diurnal range of temperature. Weather. 58(2). 97–97. 1 indexed citations
8.
Novo, Carlos, et al.. (2001). A Monoclonal Antibody Specific for Pseudomonas aeruginosa Amidase. Hybridoma. 20(4). 273–279. 5 indexed citations
9.
Swango, Katie L., Jeanne Hymes, Paul R. Brown, & Barry Wolf. (2000). Amino Acid Homologies between Human Biotinidase and Bacterial Aliphatic Amidases: Putative Identification of the Active Site of Biotinidase. Molecular Genetics and Metabolism. 69(2). 111–115. 19 indexed citations
10.
Brown, Paul R., et al.. (1999). Roundtable -- DBO and DBM Gain Popularity (PDF). American Water Works Association. 91(4). 1 indexed citations
11.
Marsh, Philip, et al.. (1994). Arg-188 and Trp-144 are implicated in the binding of urea and acetamide to the active site of the amidase from Pseudomonas aeruginosa. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1205(1). 139–145. 19 indexed citations
12.
Brown, Paul R., et al.. (1993). Human erythrocyte superoxide dismutase in adults, neonates, and normal, hypoxaemic, anaemic, and chromosomally abnormal fetuses. Clinical Biochemistry. 26(2). 109–115. 15 indexed citations
13.
Brown, Paul R.. (1990). Promiscuous plasmids of gram‐negative bacteria. FEBS Letters. 275(1-2). 239–240. 168 indexed citations
14.
Brown, Paul R., et al.. (1990). Localization of CAI and CAII isoenzymes in normal term human placenta by immunofluorescence techniques. Placenta. 11(1). 35–39. 12 indexed citations
15.
Domingos, Ana, Amin Karmali, & Paul R. Brown. (1989). One-step affinity purification of amidase from mutant strains of Pseudomonas aeruginosa. Biochimie. 71(11-12). 1179–1184. 9 indexed citations
16.
Brown, Paul R., et al.. (1988). Studies on monovalent η-butadiene derivatives of niobium and tantalum. Polyhedron. 7(19-20). 1819–1826. 4 indexed citations
17.
Brown, Paul R., et al.. (1987). Isolation of Amidase-negative Mutants of Pseudomonas aeruginosa Using Glycollamide as a Selective Agent. Microbiology. 133(6). 1527–1533. 4 indexed citations
18.
Brown, Paul R., et al.. (1981). Growth of Pseudomonas aeruginosa mutants lacking glutamate synthase activity. Journal of Bacteriology. 147(1). 193–197. 9 indexed citations
19.
Brown, Paul R., F. Geoffrey N. Cloke, & Malcolm L. H. Green. (1980). Synthesis of η-methylallylbis(η-butadiene)-niobium and -tantalum using the metal atoms. Journal of the Chemical Society Chemical Communications. 1126–1127. 6 indexed citations
20.
Brockes, Jeremy P., Paul R. Brown, & Kenneth Murray. (1972). The deoxyribonucleic acid modification enzyme of bacteriophage P1. Purification and properties. Biochemical Journal. 127(1). 1–10. 46 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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