Lucas D. Bowler

2.0k total citations
31 papers, 1.5k citations indexed

About

Lucas D. Bowler is a scholar working on Molecular Biology, Microbiology and Epidemiology. According to data from OpenAlex, Lucas D. Bowler has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Microbiology and 8 papers in Epidemiology. Recurrent topics in Lucas D. Bowler's work include Bacterial Genetics and Biotechnology (8 papers), Bacterial Infections and Vaccines (8 papers) and Genomics and Phylogenetic Studies (7 papers). Lucas D. Bowler is often cited by papers focused on Bacterial Genetics and Biotechnology (8 papers), Bacterial Infections and Vaccines (8 papers) and Genomics and Phylogenetic Studies (7 papers). Lucas D. Bowler collaborates with scholars based in United Kingdom, Netherlands and Italy. Lucas D. Bowler's co-authors include Brian G. Spratt, Jiaji Zhou, Qianyun Zhang, Julien Riou, Paola Checconi, Pietro Ghezzi, Sonia Salzano, Manuela Mengozzi, Christopher Horst Lillig and L. Mullen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Lucas D. Bowler

30 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucas D. Bowler United Kingdom 21 671 485 400 226 184 31 1.5k
Aleksandra E. Sikora United States 24 708 1.1× 692 1.4× 302 0.8× 263 1.2× 124 0.7× 56 1.7k
Alexander P. Bryant United States 18 811 1.2× 225 0.5× 404 1.0× 226 1.0× 108 0.6× 20 1.8k
Ryszard A. Zielke United States 23 738 1.1× 427 0.9× 237 0.6× 317 1.4× 74 0.4× 40 1.4k
Rosa Gíménez Spain 21 968 1.4× 526 1.1× 209 0.5× 206 0.9× 42 0.2× 37 1.6k
Mally Dori-Bachash Israel 15 894 1.3× 194 0.4× 255 0.6× 196 0.9× 53 0.3× 16 1.5k
Jiangwei Yao United States 22 676 1.0× 194 0.4× 168 0.4× 167 0.7× 181 1.0× 34 1.3k
Jesús Navas Spain 22 621 0.9× 171 0.4× 202 0.5× 72 0.3× 228 1.2× 55 2.3k
Yuzhu Song China 19 674 1.0× 456 0.9× 148 0.4× 84 0.4× 57 0.3× 99 1.5k
Vineet K. Singh United States 26 1.3k 1.9× 193 0.4× 190 0.5× 373 1.7× 187 1.0× 57 2.1k
Carmen M. Herrera United States 23 667 1.0× 140 0.3× 206 0.5× 333 1.5× 695 3.8× 42 1.8k

Countries citing papers authored by Lucas D. Bowler

Since Specialization
Citations

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

Fields of papers citing papers by Lucas D. Bowler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucas D. Bowler. 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 Lucas D. Bowler. The network helps show where Lucas D. Bowler may publish in the future.

Co-authorship network of co-authors of Lucas D. Bowler

This figure shows the co-authorship network connecting the top 25 collaborators of Lucas D. Bowler. A scholar is included among the top collaborators of Lucas D. Bowler 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 Lucas D. Bowler. Lucas D. Bowler 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.
Guppy, Fergus, et al.. (2023). Nanopore sequencing of DNA barcodes to unveil the diversity of fungal mock communities. Open Research Europe. 3. 45–45. 1 indexed citations
2.
Guppy, Fergus, et al.. (2023). Nanopore sequencing of DNA barcodes succeeds in unveilling the diversity of fungal mock communities. Open Research Europe. 3. 45–45.
3.
Lansley, Alison B., Marcus Allen, Lucas D. Bowler, et al.. (2021). Stability testing of the Pfizer-BioNTech BNT162b2 COVID-19 vaccine: a translational study in UK vaccination centres. SHILAP Revista de lepidopterología. 5(1). e100203–e100203. 22 indexed citations
4.
Aiyaz, Mohammed, Bhavik Anil Patel, Martin Arundell, et al.. (2020). Decreased 14‐3‐3 expression correlates with age‐related regional reductions in CNS dopamine and motor function in the pond snail, Lymnaea. European Journal of Neuroscience. 53(5). 1394–1411. 3 indexed citations
5.
Inácio, João, et al.. (2017). Master of Pharmacy students’ knowledge and awareness of antibiotic use, resistance and stewardship. Currents in Pharmacy Teaching and Learning. 9(4). 551–559. 34 indexed citations
6.
7.
Feng, Min, Lihong Zhou, Robert A. Baldock, et al.. (2014). The S. pombe Translation Initiation Factor eIF4G Is Sumoylated and Associates with the SUMO Protease Ulp2. PLoS ONE. 9(5). e94182–e94182. 8 indexed citations
8.
Ogilvie, Lesley A., Jonathan Caplin, Cinzia Dedi, et al.. (2012). Comparative (Meta)genomic Analysis and Ecological Profiling of Human Gut-Specific Bacteriophage φB124-14. PLoS ONE. 7(4). e35053–e35053. 48 indexed citations
9.
Leigh, James A., et al.. (2010). Differential Protein Expression in Streptococcus uberis under Planktonic and Biofilm Growth Conditions. Applied and Environmental Microbiology. 77(1). 382–384. 23 indexed citations
10.
Bowler, Lucas D., et al.. (2008). A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data. BMC Bioinformatics. 9(1). 325–325. 39 indexed citations
11.
Bowler, Lucas D., et al.. (2007). What regulates the regulator?. Toxicology. 240(3). 181–182. 1 indexed citations
12.
Whalan, Rachael H., Simon G. P. Funnell, Lucas D. Bowler, et al.. (2004). PiuA and PiaA, iron uptake lipoproteins ofStreptococcus pneumoniae, elicit serotype independent antibody responses following human pneumococcal septicaemia. FEMS Immunology & Medical Microbiology. 43(1). 73–80. 22 indexed citations
13.
Bowler, Lucas D., Aldert Bart, & Arie van der Ende. (2003). Representational Difference Analysis. Humana Press eBooks. 67. 231–255. 3 indexed citations
14.
15.
Zhou, Jiaji, Lucas D. Bowler, & Brian G. Spratt. (1997). Interspecies recombination, and phylogenetic distortions, within the glutamine synthetase and shikimate dehydrogenase genes of Neisseria meningitidis and commensal Neisseria species. Molecular Microbiology. 23(4). 799–812. 66 indexed citations
16.
Sáez-Nieto, J. A., Ricardo García Luján, S. Berrón, et al.. (1992). Epidemiology and Molecular Basis of Penicillin-Resistant Neisseria meningitidis in Spain: A 5-Year History (1985-1989). Clinical Infectious Diseases. 14(2). 394–402. 103 indexed citations
17.
Bowler, Lucas D., et al.. (1992). Role of interspecies transfer of chromosomal genes in the evolution of penicillin resistance in pathogenic and commensal Neisseria species. Journal of Molecular Evolution. 34(2). 115–25. 213 indexed citations
18.
Bowler, Lucas D. & Brian G. Spratt. (1989). Membrane topology of penicillin‐binding protein 3 of Escherichia coli. Molecular Microbiology. 3(9). 1277–1286. 54 indexed citations
19.
Broome‐Smith, Jenny K., Lucas D. Bowler, & Brian G. Spratt. (1989). A simple method for maximizing the yields of membrane and exported proteins expressed in Escherichia coli. Molecular Microbiology. 3(12). 1813–1817. 7 indexed citations
20.
Edelman, A., Lucas D. Bowler, Jenny K. Broome‐Smith, & Brian G. Spratt. (1987). Use of a β‐lactamase fusion vector to investigate the organization of penicillin‐binding protein 1B in the cytoplasmic membrane of Escherichia coli. Molecular Microbiology. 1(3). 101–106. 45 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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