Nicholas J. Loman

45.8k total citations · 7 hit papers
93 papers, 12.2k citations indexed

About

Nicholas J. Loman is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Nicholas J. Loman has authored 93 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 32 papers in Infectious Diseases and 19 papers in Epidemiology. Recurrent topics in Nicholas J. Loman's work include Genomics and Phylogenetic Studies (18 papers), Antibiotic Resistance in Bacteria (17 papers) and Gut microbiota and health (15 papers). Nicholas J. Loman is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), Antibiotic Resistance in Bacteria (17 papers) and Gut microbiota and health (15 papers). Nicholas J. Loman collaborates with scholars based in United Kingdom, United States and Canada. Nicholas J. Loman's co-authors include Joshua Quick, Mark J. Pallen, Jared T. Simpson, Alan W. Walker, Christopher Quince, Szymon Calus, Chrystala Constantinidou, Nicola Segata, Jennifer L. Gardy and William Cookson and has published in prestigious journals such as JAMA, Nucleic Acids Research and Nature Communications.

In The Last Decade

Nicholas J. Loman

91 papers receiving 12.0k citations

Hit Papers

align trajectories sort by overperformance

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.

Reagent and laboratory contamination can critically impact sequence-based microbiome analyses

2014 2.2k citations Szymon Calus, Nicholas J. Loman et al. profile →
Binning metagenomic contigs by coverage and composition

2014 1.6k citations Johannes Alneberg, Ino de Bruijn et al. Nature Methods profile →
Shotgun metagenomics, from sampling to analysis

2017 1.1k citations Christopher Quince, Nicholas J. Loman et al. profile →
Performance comparison of benchtop high-throughput sequencing platforms

2012 951 citations Nicholas J. Loman, Mark J. Pallen et al. profile →
A complete bacterial genome assembled de novo using only nanopore sequencing data

2015 822 citations Nicholas J. Loman, Joshua Quick et al. Nature Methods profile →
An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar

2019 459 citations Joshua Quick, Nicholas J. Loman et al. profile →
Towards a genomics-informed, real-time, global pathogen surveillance system

2017 408 citations Jennifer L. Gardy, Nicholas J. Loman Nature Reviews Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas J. Loman United Kingdom	39	7.0k	3.2k	2.0k	1.6k	1.1k	93	12.2k
Michael A. Quail United Kingdom	65	7.4k 1.1×	2.1k 0.6×	2.7k 1.3×	2.4k 1.5×	2.6k 2.2×	128	15.2k
Thomas Sicheritz‐Pontén Denmark	38	5.2k 0.8×	2.1k 0.7×	1.0k 0.5×	716 0.5×	1.1k 1.0×	95	9.8k
Fiona S. L. Brinkman Canada	52	8.1k 1.2×	2.6k 0.8×	1.4k 0.7×	1.3k 0.8×	2.2k 1.9×	111	13.2k
Ashlee M. Earl United States	42	10.5k 1.5×	3.2k 1.0×	2.7k 1.3×	1.8k 1.1×	2.0k 1.8×	110	17.8k
Erica Sodergren United States	46	6.4k 0.9×	1.7k 0.5×	1.6k 0.8×	1.7k 1.1×	1.3k 1.1×	98	12.7k
Paramvir Dehal United States	17	9.1k 1.3×	4.4k 1.4×	1.5k 0.7×	1.2k 0.7×	1.8k 1.6×	25	16.3k
Eric J. Alm United States	70	12.0k 1.7×	4.0k 1.3×	3.4k 1.7×	1.4k 0.9×	2.2k 2.0×	187	19.2k
James Ostell United States	28	11.1k 1.6×	4.0k 1.3×	1.3k 0.6×	1.2k 0.8×	2.1k 1.8×	36	19.9k
Hervé Tettelin United States	45	6.2k 0.9×	1.3k 0.4×	1.3k 0.6×	2.4k 1.5×	1.4k 1.2×	121	11.7k
Mark J. Pallen United Kingdom	62	5.2k 0.8×	1.9k 0.6×	2.5k 1.2×	1.4k 0.9×	2.3k 2.0×	192	11.4k

Countries citing papers authored by Nicholas J. Loman

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas J. Loman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas J. Loman. 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 Nicholas J. Loman. The network helps show where Nicholas J. Loman may publish in the future.

Co-authorship network of co-authors of Nicholas J. Loman

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas J. Loman. A scholar is included among the top collaborators of Nicholas J. Loman 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 Nicholas J. Loman. Nicholas J. Loman 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

Colquhoun, Rachel, Áine O’Toole, Verity Hill, et al.. (2024). A phylogenetics and variant calling pipeline to support SARS-CoV-2 genomic epidemiology in the UK. Virus Evolution. 10(1). veae083–veae083.

Mirza, Jeremy, Lilian de Oliveira Guimarães, E Rocha, et al.. (2024). Tracking arboviruses, their transmission vectors and potential hosts by nanopore sequencing of mosquitoes. Microbial Genomics. 10(1). 6 indexed citations

Maes, Mailis, Fahad Khokhar, Andrew D. Smith, et al.. (2023). Multiplex MinION sequencing suggests enteric adenovirus F41 genetic diversity comparable to pre-COVID-19 era. Microbial Genomics. 9(1). 5 indexed citations

Richter, Alex, Anna Casey, Husam Osman, et al.. (2022). Recurrent SARS-CoV-2 mutations in immunodeficient patients. Virus Evolution. 8(2). veac050–veac050. 52 indexed citations

Neto, Zoraima, Pedro Martı́nez, Sarah C. Hill, et al.. (2022). Molecular and genomic investigation of an urban outbreak of dengue virus serotype 2 in Angola, 2017–2019. PLoS neglected tropical diseases. 16(5). e0010255–e0010255. 18 indexed citations

O’Toole, Áine, Verity Hill, Ben Jackson, et al.. (2022). Genomics-informed outbreak investigations of SARS-CoV-2 using civet. SHILAP Revista de lepidopterología. 2(12). e0000704–e0000704. 13 indexed citations

Ashford, Fiona, Angus Best, Steven Dunn, et al.. (2022). SARS-CoV-2 Testing in the Community: Testing Positive Samples with the TaqMan SARS-CoV-2 Mutation Panel To Find Variants in Real Time. Journal of Clinical Microbiology. 60(4). e0240821–e0240821. 5 indexed citations

Nicholls, Samuel M., Joshua Quick, Shuiquan Tang, & Nicholas J. Loman. (2019). Ultra-deep, long-read nanopore sequencing of mock microbial community standards. GigaScience. 8(5). 166 indexed citations

Antunes, Camila Azevedo, Emily J. Richardson, Joshua Quick, et al.. (2018). Complete Closed Genome Sequence of Nontoxigenic Invasive Corynebacterium diphtheriae bv. mitis Strain ISS 3319. Genome Announcements. 6(5). 6 indexed citations

10.

Gardy, Jennifer L. & Nicholas J. Loman. (2017). Towards a genomics-informed, real-time, global pathogen surveillance system. Nature Reviews Genetics. 19(1). 9–20. 408 indexed citations breakdown →

11.

Ijaz, Umer Zeeshan, Christopher Quince, Laura Hanske, et al.. (2017). The distinct features of microbial ‘dysbiosis’ of Crohn’s disease do not occur to the same extent in their unaffected, genetically-linked kindred. PLoS ONE. 12(2). e0172605–e0172605. 32 indexed citations

12.

Faria, Nuno R., Éster Cerdeira Sabino, Márcio Roberto Teixeira Nunes, et al.. (2016). Mobile real-time surveillance of Zika virus in Brazil. Genome Medicine. 8(1). 97–97. 124 indexed citations

13.

Gerasimidis, Konstantinos, Martin Bertz, Christopher Quince, et al.. (2016). The effect of DNA extraction methodology on gut microbiota research applications. BMC Research Notes. 9(1). 365–365. 60 indexed citations

14.

Webber, Mark, et al.. (2015). Parallel evolutionary pathways to antibiotic resistance selected by biocide exposure. Journal of Antimicrobial Chemotherapy. 70(8). 2241–2248. 115 indexed citations

15.

Alneberg, Johannes, Ino de Bruijn, Melanie Schirmer, et al.. (2014). Binning metagenomic contigs by coverage and composition. Nature Methods. 11(11). 1144–1146. 1590 indexed citations breakdown →

16.

Loman, Nicholas J. & Aaron R. Quinlan. (2014). Poretools: a toolkit for analyzing nanopore sequence data. Bioinformatics. 30(23). 3399–3401. 266 indexed citations

17.

Quick, Joshua, Aaron R. Quinlan, & Nicholas J. Loman. (2014). A reference bacterial genome dataset generated on the MinION™ portable single-molecule nanopore sequencer. GigaScience. 3(1). 22–22. 153 indexed citations

18.

Williams, Tiffany M., Nicholas J. Loman, Chinelo Ebruke, et al.. (2012). Genome Analysis of a Highly Virulent Serotype 1 Strain of Streptococcus pneumoniae from West Africa. PLoS ONE. 7(10). e26742–e26742. 17 indexed citations

19.

Woo, Patrick C. Y., Susanna K. P. Lau, Herman Tse, et al.. (2009). The Complete Genome and Proteome of Laribacter hongkongensis Reveal Potential Mechanisms for Adaptations to Different Temperatures and Habitats. PLoS Genetics. 5(3). e1000416–e1000416. 49 indexed citations

20.

Williams, Kerstin J., Luther Lindler, Katherine A. Brown, et al.. (2000). Sequencing of the Francisella tularensis Strain Schu 4 Genome Reveals the Shikimate and Purine Metabolic Pathways, Targets for the Construction of a Rationally Attenuated Auxotrophic Vaccine. PubMed. 5(1). 25–39. 38 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