Liam P. Shaw

5.8k total citations · 4 hit papers
34 papers, 2.9k citations indexed

About

Liam P. Shaw is a scholar working on Molecular Biology, Molecular Medicine and Infectious Diseases. According to data from OpenAlex, Liam P. Shaw has authored 34 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Molecular Medicine and 7 papers in Infectious Diseases. Recurrent topics in Liam P. Shaw's work include Antibiotic Resistance in Bacteria (14 papers), Genomics and Phylogenetic Studies (10 papers) and Mycobacterium research and diagnosis (5 papers). Liam P. Shaw is often cited by papers focused on Antibiotic Resistance in Bacteria (14 papers), Genomics and Phylogenetic Studies (10 papers) and Mycobacterium research and diagnosis (5 papers). Liam P. Shaw collaborates with scholars based in United Kingdom, United States and China. Liam P. Shaw's co-authors include François Balloux, Lucy van Dorp, Mislav Acman, Cedric Tan, Damien Richard, Hui Wang, Christophe Dessimoz, Qi Wang, Ruobing Wang and C. J. Owen and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Liam P. Shaw

34 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Emergence of genomic diversity and recurrent mutations in SARS-CoV-2

2020 514 citations Lucy van Dorp, Mislav Acman et al. profile →
The global distribution and spread of the mobilized colistin resistance gene mcr-1

2018 476 citations Ruobing Wang, Lucy van Dorp et al. Nature Communications profile →
Transient structural variations have strong effects on quantitative traits and reproductive isolation in fission yeast

2017 361 citations Daniel Jeffares, Clemency Jolly et al. Nature Communications profile →
Role of mobile genetic elements in the global dissemination of the carbapenem resistance gene blaNDM

2022 139 citations Mislav Acman, Ruobing Wang et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liam P. Shaw United Kingdom	22	1.2k	915	754	387	383	34	2.9k
Tohru Miyoshi‐Akiyama Japan	35	1.1k 1.0×	1.1k 1.2×	1.3k 1.7×	232 0.6×	313 0.8×	144	3.5k
Juan Carlos Galán Spain	30	979 0.8×	1.0k 1.1×	1.6k 2.1×	285 0.7×	400 1.0×	120	3.9k
Erik Snesrud United States	27	1.4k 1.2×	275 0.3×	1.2k 1.6×	298 0.8×	379 1.0×	46	3.1k
Egon A. Ozer United States	27	1.2k 1.0×	503 0.5×	863 1.1×	241 0.6×	282 0.7×	104	2.5k
Luce Landraud France	18	874 0.7×	430 0.5×	780 1.0×	283 0.7×	209 0.5×	39	2.2k
John P. Hays Netherlands	30	926 0.8×	594 0.6×	532 0.7×	222 0.6×	250 0.7×	120	2.9k
Mandy Sanders United Kingdom	37	1.7k 1.5×	707 0.8×	478 0.6×	632 1.6×	509 1.3×	65	5.3k
Gavin K. Paterson United Kingdom	35	1.7k 1.5×	1.9k 2.0×	395 0.5×	283 0.7×	243 0.6×	96	3.9k
Guillaume Méric United Kingdom	31	1.1k 1.0×	782 0.9×	258 0.3×	487 1.3×	271 0.7×	64	2.8k
Ewan M. Harrison United Kingdom	32	2.1k 1.8×	3.6k 3.9×	520 0.7×	497 1.3×	404 1.1×	72	5.2k

Countries citing papers authored by Liam P. Shaw

Since Specialization

Citations

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

Fields of papers citing papers by Liam P. Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liam P. Shaw. 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 Liam P. Shaw. The network helps show where Liam P. Shaw may publish in the future.

Co-authorship network of co-authors of Liam P. Shaw

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lipworth, Samuel, Liam P. Shaw, Karina-Doris Vihta, et al.. (2024). The plasmidome associated with Gram-negative bloodstream infections: A large-scale observational study using complete plasmid assemblies. Nature Communications. 15(1). 1612–1612. 8 indexed citations

Read, Daniel S., Hyun S. Gweon, Michael J. Bowes, et al.. (2024). Dissemination and persistence of antimicrobial resistance (AMR) along the wastewater-river continuum. Water Research. 264. 122204–122204. 13 indexed citations

Shaw, Liam P., Eduardo P. C. Rocha, & R. Craig MacLean. (2023). Restriction-modification systems have shaped the evolution and distribution of plasmids across bacteria. Nucleic Acids Research. 51(13). 6806–6818. 56 indexed citations

Caballero, Julio Diaz, Rachel M. Wheatley, Natalia Kapel, et al.. (2023). Mixed strain pathogen populations accelerate the evolution of antibiotic resistance in patients. Nature Communications. 14(1). 4083–4083. 37 indexed citations

Ledda, Alice, Liam P. Shaw, Elita Jauneikaite, et al.. (2022). Hospital outbreak of carbapenem-resistant Enterobacterales associated with a bla OXA-48 plasmid carried mostly by Escherichia coli ST399. Microbial Genomics. 8(4). 9 indexed citations

Lipworth, Samuel, Bede Constantinides, Tim Peto, et al.. (2021). Flanker: a tool for comparative genomics of gene flanking regions. Microbial Genomics. 7(9). 13 indexed citations

AbuOun, Manal, Hannah Jones, Emma Stubberfield, et al.. (2021). A genomic epidemiological study shows that prevalence of antimicrobial resistance in Enterobacterales is associated with the livestock host, as well as antimicrobial usage. Microbial Genomics. 7(10). 32 indexed citations

Chen, Hongbin, Yuyao Yin, Lucy van Dorp, et al.. (2021). Drivers of methicillin-resistant Staphylococcus aureus (MRSA) lineage replacement in China. Genome Medicine. 13(1). 171–171. 42 indexed citations

Bush, Stephen J., Dona Foster, David W. Eyre, et al.. (2020). Genomic diversity affects the accuracy of bacterial single-nucleotide polymorphism–calling pipelines. GigaScience. 9(2). 80 indexed citations

10.

Shaw, Liam P., et al.. (2020). The phylogenetic range of bacterial and viral pathogens of vertebrates. Molecular Ecology. 29(17). 3361–3379. 61 indexed citations

11.

Shaw, Liam P., Bassam Abdul Rasool Hassan, C. Barnes, et al.. (2019). Modelling microbiome recovery after antibiotics using a stability landscape framework. The ISME Journal. 13(7). 1845–1856. 85 indexed citations

12.

Shaw, Liam P., Ronan Doyle, Helen Spencer, et al.. (2019). Children With Cystic Fibrosis Are Infected With Multiple Subpopulations of Mycobacterium abscessus With Different Antimicrobial Resistance Profiles. Clinical Infectious Diseases. 69(10). 1678–1686. 32 indexed citations

13.

Gweon, Hyun S., Liam P. Shaw, Jeremy Swann, et al.. (2019). The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples. Environmental Microbiome. 14(1). 7–7. 68 indexed citations

14.

Maio, Nicola De, Liam P. Shaw, Alasdair T. M. Hubbard, et al.. (2019). Comparison of long-read sequencing technologies in the hybrid assembly of complex bacterial genomes. Microbial Genomics. 5(9). 157 indexed citations

15.

Nimmo, Camus, Liam P. Shaw, Ronan Doyle, et al.. (2019). Whole genome sequencing Mycobacterium tuberculosis directly from sputum identifies more genetic diversity than sequencing from culture. BMC Genomics. 20(1). 389–389. 56 indexed citations

16.

Balloux, François, Ola Brynildsrud, Lucy van Dorp, et al.. (2018). From Theory to Practice: Translating Whole-Genome Sequencing (WGS) into the Clinic. Trends in Microbiology. 26(12). 1035–1048. 114 indexed citations

17.

Wang, Ruobing, Lucy van Dorp, Liam P. Shaw, et al.. (2018). The global distribution and spread of the mobilized colistin resistance gene mcr-1. Nature Communications. 9(1). 1179–1179. 476 indexed citations breakdown →

18.

Shaw, Liam P., André Luís Ribeiro Ribeiro, Adam P. Levine, et al.. (2017). The Human Salivary Microbiome Is Shaped by Shared Environment Rather than Genetics: Evidence from a Large Family of Closely Related Individuals. mBio. 8(5). 88 indexed citations

19.

Jeffares, Daniel, Clemency Jolly, Mimoza Hoti, et al.. (2017). Transient structural variations have strong effects on quantitative traits and reproductive isolation in fission yeast. Nature Communications. 8(1). 14061–14061. 361 indexed citations breakdown →

20.

Schreck, John S., Thomas E. Ouldridge, Flavio Romano, et al.. (2015). DNA hairpins destabilize duplexes primarily by promoting melting rather than by inhibiting hybridization. Nucleic Acids Research. 43(13). 6181–6190. 43 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.

Explore authors with similar magnitude of impact