Nicholas J. Croucher

16.4k total citations · 3 hit papers
103 papers, 7.9k citations indexed

About

Nicholas J. Croucher is a scholar working on Epidemiology, Molecular Biology and Microbiology. According to data from OpenAlex, Nicholas J. Croucher has authored 103 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Epidemiology, 38 papers in Molecular Biology and 35 papers in Microbiology. Recurrent topics in Nicholas J. Croucher's work include Pneumonia and Respiratory Infections (65 papers), Genomics and Phylogenetic Studies (32 papers) and Bacterial Infections and Vaccines (32 papers). Nicholas J. Croucher is often cited by papers focused on Pneumonia and Respiratory Infections (65 papers), Genomics and Phylogenetic Studies (32 papers) and Bacterial Infections and Vaccines (32 papers). Nicholas J. Croucher collaborates with scholars based in United Kingdom, United States and Finland. Nicholas J. Croucher's co-authors include Stephen D. Bentley, Julian Parkhill, Simon R. Harris, Thomas R. Connor, Jacqueline A. Keane, Aidan Delaney, Andrew J. Page, William P. Hanage, Jukka Corander and Nicholas R. Thomson and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Nicholas J. Croucher

97 papers receiving 7.8k 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.

Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins

2014 1.6k citations Nicholas J. Croucher, Stephen D. Bentley et al. Nucleic Acids Research profile →
Rapid Whole-Genome Sequencing for Investigation of a Neonatal MRSA Outbreak

2012 462 citations Matthew J. Ellington, Claire Chewapreecha et al. profile →
Phandango: an interactive viewer for bacterial population genomics

2017 415 citations James Hadfield, Nicholas J. Croucher et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas J. Croucher United Kingdom	43	3.0k	2.8k	1.9k	1.5k	1.4k	103	7.9k
David M. Aanensen United Kingdom	42	2.8k 0.9×	2.4k 0.9×	3.5k 1.8×	1.5k 1.0×	1.2k 0.8×	94	9.5k
Xavier Didelot United Kingdom	57	2.3k 0.8×	4.1k 1.5×	3.1k 1.7×	1.2k 0.8×	1.5k 1.0×	158	10.9k
Keith A. Jolley United Kingdom	50	3.9k 1.3×	2.9k 1.1×	2.3k 1.2×	4.2k 2.9×	1.3k 0.9×	151	11.2k
Jacqueline A. Keane United Kingdom	15	1.4k 0.5×	3.3k 1.2×	1.8k 1.0×	789 0.5×	2.1k 1.5×	22	8.2k
Andrew J. Page United Kingdom	28	1.4k 0.5×	3.2k 1.2×	2.1k 1.1×	787 0.5×	2.4k 1.6×	76	9.0k
Jian Yang China	33	1.2k 0.4×	3.3k 1.2×	1.9k 1.0×	613 0.4×	1.2k 0.8×	152	7.6k
Yoshichika Arakawa Japan	50	2.7k 0.9×	2.1k 0.8×	1.5k 0.8×	958 0.7×	5.3k 3.6×	247	8.9k
Ben Adler Australia	59	1.4k 0.5×	1.5k 0.6×	3.0k 1.6×	3.0k 2.1×	1.5k 1.0×	256	13.2k
Dag Harmsen Germany	48	2.5k 0.8×	3.5k 1.3×	5.4k 2.9×	525 0.4×	904 0.6×	116	9.3k
Thomas R. Connor United Kingdom	34	1.0k 0.3×	2.8k 1.0×	2.2k 1.2×	499 0.3×	1.0k 0.7×	76	7.3k

Countries citing papers authored by Nicholas J. Croucher

Since Specialization

Citations

This map shows the geographic impact of Nicholas J. Croucher'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. Croucher 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. Croucher more than expected).

Fields of papers citing papers by Nicholas J. Croucher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

McHugh, M., Samuel Horsfield, Kerry A. Pettigrew, et al.. (2025). Integrated population clustering and genomic epidemiology with PopPIPE. Microbial Genomics. 11(4).

Kwun, Min Jung, et al.. (2025). Chromosomal Curing Drives an Arms Race Between Bacterial Transformation and Prophage. Molecular Biology and Evolution. 42(11).

Derelle, Romain, Joel Hellewell, Timothy Russell, et al.. (2024). Seamless, rapid, and accurate analyses of outbreak genomic data using splitk-mer analysis. Genome Research. 34(10). 1661–1673. 14 indexed citations

Kumar, Narender, Kate C. Mellor, Paulina A. Hawkins, et al.. (2024). Comparison of gene-by-gene and genome-wide short nucleotide sequence-based approaches to define the global population structure of Streptococcus pneumoniae. Microbial Genomics. 10(8). 2 indexed citations

Tonkin‐Hill, Gerry, Anna K. Pöntinen, Jessica Calland, et al.. (2024). Detecting co-selection through excess linkage disequilibrium in bacterial genomes. NAR Genomics and Bioinformatics. 6(2). lqae061–lqae061.

Pesonen, Henri, et al.. (2024). Estimating between-country migration in pneumococcal populations. G3 Genes Genomes Genetics. 14(6). 1 indexed citations

Horsfield, Samuel, Anna K. Pöntinen, Sergio Arredondo-Alonso, et al.. (2024). Pangenome-spanning epistasis and coselection analysis via de Bruijn graphs. Genome Research. 34(7). 1081–1088.

Kwun, Min Jung, et al.. (2023). Diverse regulatory pathways modulate bet hedging of competence induction in epigenetically-differentiated phase variants ofStreptococcus pneumoniae. Nucleic Acids Research. 51(19). 10375–10394. 8 indexed citations

Lees, John A., William P. Hanage, Marc Lipsitch, et al.. (2021). Negative frequency-dependent selection and asymmetrical transformation stabilise multi-strain bacterial population structures. The ISME Journal. 15(5). 1523–1538. 16 indexed citations

10.

Wan, Yu, R Leung, Ana Vieira, et al.. (2021). Alterations in chromosomal genes nfsA, nfsB, and ribE are associated with nitrofurantoin resistance in Escherichia coli from the United Kingdom. Microbial Genomics. 7(12). 18 indexed citations

11.

McNally, Alan, Teemu Kallonen, Christopher Connor, et al.. (2019). Diversification of Colonization Factors in a Multidrug-Resistant Escherichia coli Lineage Evolving under Negative Frequency-Dependent Selection. mBio. 10(2). 79 indexed citations

12.

Pensar, Johan, Santeri Puranen, Brian J. Arnold, et al.. (2019). Genome-wide epistasis and co-selection study using mutual information. Nucleic Acids Research. 47(18). e112–e112. 30 indexed citations

13.

Mitchell, Patrick K., Taj Azarian, Nicholas J. Croucher, et al.. (2019). Population genomics of pneumococcal carriage in Massachusetts children following introduction of PCV-13. Microbial Genomics. 5(2). 13 indexed citations

14.

Kwun, Min Jung, Marco R. Oggioni, Stephen D. Bentley, Christophe Fraser, & Nicholas J. Croucher. (2019). Synergistic Activity of Mobile Genetic Element Defences in Streptococcus pneumoniae. Genes. 10(9). 707–707. 6 indexed citations

15.

Abudahab, Khalil, Joaquín M. Prada, Zhirong Yang, et al.. (2018). PANINI: Pangenome Neighbour Identification for Bacterial Populations. Microbial Genomics. 5(4). 23 indexed citations

16.

Cremers, Amelieke J. H., Fredrick M. Mobegi, Christa E. van der Gaast‐de Jongh, et al.. (2018). The Contribution of Genetic Variation of Streptococcus pneumoniae to the Clinical Manifestation of Invasive Pneumococcal Disease. Clinical Infectious Diseases. 68(1). 61–69. 18 indexed citations

17.

Lehtinen, Sonja, François Blanquart, Nicholas J. Croucher, et al.. (2017). Evolution of antibiotic resistance is linked to any genetic mechanism affecting bacterial duration of carriage. Proceedings of the National Academy of Sciences. 114(5). 1075–1080. 93 indexed citations

18.

Hadfield, James, Nicholas J. Croucher, Richard Goater, et al.. (2017). Phandango: an interactive viewer for bacterial population genomics. Bioinformatics. 34(2). 292–293. 415 indexed citations breakdown →

19.

Lees, John A., Philip H. C. Kremer, Ana Sousa Manso, et al.. (2016). Large scale genomic analysis shows no evidence for pathogen adaptation between the blood and cerebrospinal fluid niches during bacterial meningitis. Microbial Genomics. 3(1). e000103–e000103. 30 indexed citations

20.

Lawley, Trevor D., Simon Clare, Alan W. Walker, et al.. (2009). Antibiotic Treatment of Clostridium difficile Carrier Mice Triggers a Supershedder State, Spore-Mediated Transmission, and Severe Disease in Immunocompromised Hosts. Infection and Immunity. 77(9). 3661–3669. 281 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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