Paul Brian

1.7k total citations
19 papers, 1.3k citations indexed

About

Paul Brian is a scholar working on Pharmacology, Molecular Biology and Biotechnology. According to data from OpenAlex, Paul Brian has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pharmacology, 16 papers in Molecular Biology and 2 papers in Biotechnology. Recurrent topics in Paul Brian's work include Microbial Natural Products and Biosynthesis (17 papers), RNA and protein synthesis mechanisms (11 papers) and Genomics and Phylogenetic Studies (8 papers). Paul Brian is often cited by papers focused on Microbial Natural Products and Biosynthesis (17 papers), RNA and protein synthesis mechanisms (11 papers) and Genomics and Phylogenetic Studies (8 papers). Paul Brian collaborates with scholars based in United States, Switzerland and United Kingdom. Paul Brian's co-authors include Richard H. Baltz, Vivian Miao, Min Chu, Stephen K. Wrigley, Kien T. Nguyen, Dylan C. Alexander, Wendy Champness, Andrew Whiting, Julia Penn and Christopher J. Silva and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Journal of Bacteriology.

In The Last Decade

Paul Brian

19 papers receiving 1.2k 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 Brian United States 15 1.0k 988 263 156 131 19 1.3k
Robert Finking Germany 10 930 0.9× 1.2k 1.2× 249 0.9× 231 1.5× 275 2.1× 11 1.7k
C. Gary Marshall United States 17 799 0.8× 1.0k 1.1× 170 0.6× 248 1.6× 117 0.9× 28 1.5k
Joanne Hothersall United Kingdom 20 616 0.6× 823 0.8× 208 0.8× 274 1.8× 166 1.3× 39 1.2k
Heather C. Losey United States 16 798 0.8× 1.3k 1.3× 247 0.9× 542 3.5× 86 0.7× 27 1.7k
Sylvie Lautru France 18 922 0.9× 1.1k 1.1× 225 0.9× 308 2.0× 175 1.3× 29 1.5k
Philipp Krastel Switzerland 19 511 0.5× 645 0.7× 147 0.6× 235 1.5× 106 0.8× 32 1.1k
Junji Inokoshi Japan 25 589 0.6× 795 0.8× 312 1.2× 332 2.1× 125 1.0× 48 1.4k
Matthias Strieker Germany 11 498 0.5× 653 0.7× 127 0.5× 167 1.1× 102 0.8× 14 945
Dylan C. Alexander United States 13 539 0.5× 555 0.6× 114 0.4× 99 0.6× 65 0.5× 19 761
Juan Pablo Gomez‐Escribano United Kingdom 21 1.3k 1.2× 1.2k 1.2× 403 1.5× 286 1.8× 169 1.3× 28 1.6k

Countries citing papers authored by Paul Brian

Since Specialization
Citations

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

Fields of papers citing papers by Paul Brian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Brian

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

All Works

19 of 19 papers shown
1.
Meerveld-Eggink, A., Francesca Jackson‐Spence, Kathrine S Rallis, et al.. (2023). Baseline and Dynamic Changes in Hemoglobin Levels Predict Treatment Response and Prognosis in Metastatic Renal Cell Carcinoma: A Multicenter Retrospective Study. Clinical Genitourinary Cancer. 21(4). e242–e251. 2 indexed citations
2.
Michael, Jack, et al.. (2020). Analyzing Basket Trials under Multisource Exchangeability Assumptions. The R Journal. 12(2). 342–342. 10 indexed citations
4.
Alexander, Dylan C., et al.. (2010). Structural characterization of a lipopeptide antibiotic A54145E(Asn3Asp9) produced by a genetically engineered strain of Streptomyces fradiae. The Journal of Antibiotics. 64(1). 111–116. 13 indexed citations
5.
Nguyen, Kien T., Xiaowei He, Dylan C. Alexander, et al.. (2010). Genetically Engineered Lipopeptide Antibiotics Related to A54145 and Daptomycin with Improved Properties. Antimicrobial Agents and Chemotherapy. 54(4). 1404–1413. 82 indexed citations
6.
Alexander, Dylan C., et al.. (2010). Development of a Genetic System for Combinatorial Biosynthesis of Lipopeptides in Streptomyces fradiae and Heterologous Expression of the A54145 Biosynthesis Gene Cluster. Applied and Environmental Microbiology. 76(20). 6877–6887. 55 indexed citations
7.
Doekel, Sascha, et al.. (2008). Non-ribosomal peptide synthetase module fusions to produce derivatives of daptomycin in Streptomyces roseosporus. Microbiology. 154(9). 2872–2880. 60 indexed citations
8.
Nguyen, Kien T., et al.. (2007). Structural Characterization of Daptomycin Analogues A21978C1-3(d-Asn11) Produced by a Recombinant Streptomyces roseosporus Strain. Journal of Natural Products. 70(2). 233–240. 25 indexed citations
9.
Nguyen, Kien T., et al.. (2006). A glutamic acid 3‐methyltransferase encoded by an accessory gene locus important for daptomycin biosynthesis in Streptomyces roseosporus. Molecular Microbiology. 61(5). 1294–1307. 56 indexed citations
10.
Miao, Vivian, Kien T. Nguyen, Paul Brian, et al.. (2006). Genetic Engineering in Streptomyces roseosporus to Produce Hybrid Lipopeptide Antibiotics. Chemistry & Biology. 13(3). 269–276. 80 indexed citations
11.
Nguyen, Kien T., Daniel Ritz, Dylan C. Alexander, et al.. (2006). Combinatorial biosynthesis of novel antibiotics related to daptomycin. Proceedings of the National Academy of Sciences. 103(46). 17462–17467. 218 indexed citations
12.
Baltz, Richard H., Paul Brian, Vivian Miao, & Stephen K. Wrigley. (2005). Combinatorial biosynthesis of lipopeptide antibiotics in Streptomyces roseosporus. Journal of Industrial Microbiology & Biotechnology. 33(2). 66–74. 47 indexed citations
13.
Penn, Julia, Xiang Li, Andrew Whiting, et al.. (2005). Heterologous production of daptomycin in Streptomyces lividans. Journal of Industrial Microbiology & Biotechnology. 33(2). 121–128. 62 indexed citations
14.
Miao, Vivian, Paul Brian, Renée L. Brost, et al.. (2005). Daptomycin biosynthesis in Streptomyces roseosporus: cloning and analysis of the gene cluster and revision of peptide stereochemistry. Microbiology. 151(5). 1507–1523. 286 indexed citations
16.
Brian, Paul, et al.. (1999). Genetic suppression analysis of non-antibiotic-producing mutants of the Streptomyces coelicolor absA locus. Microbiology. 145(9). 2343–2353. 11 indexed citations
17.
Kelemen, Gabriella H., Paul Brian, Klas Flärdh, et al.. (1998). Developmental Regulation of Transcription of whiE , a Locus Specifying the Polyketide Spore Pigment in Streptomyces coelicolor A3(2). Journal of Bacteriology. 180(9). 2515–2521. 117 indexed citations
18.
Brian, Paul, Perry J. Riggle, Richard Santos, & Wendy Champness. (1996). Global negative regulation of Streptomyces coelicolor antibiotic synthesis mediated by an absA-encoded putative signal transduction system. Journal of Bacteriology. 178(11). 3221–3231. 61 indexed citations
19.
Blanco, Gloria, et al.. (1993). A hydroxylase-like gene product contributes to synthesis of a polyketide spore pigment in Streptomyces halstedii. Journal of Bacteriology. 175(24). 8043–8048. 22 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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