John T. McCrone

14.1k total citations · 2 hit papers
25 papers, 2.7k citations indexed

About

John T. McCrone is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, John T. McCrone has authored 25 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Infectious Diseases. Recurrent topics in John T. McCrone's work include Genomics and Phylogenetic Studies (6 papers), Influenza Virus Research Studies (5 papers) and Evolution and Genetic Dynamics (5 papers). John T. McCrone is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Influenza Virus Research Studies (5 papers) and Evolution and Genetic Dynamics (5 papers). John T. McCrone collaborates with scholars based in United States, United Kingdom and Belgium. John T. McCrone's co-authors include Andrew Rambaut, Áine O’Toole, Verity Hill, Oliver G. Pybus, Louis du Plessis, Edward C. Holmes, Christopher Ruis, Adam S. Lauring, Arnold S. Monto and Ben Jackson and has published in prestigious journals such as Cell, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

John T. McCrone

23 papers receiving 2.7k 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.

A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology

2020 1.4k citations Andrew Rambaut, Edward C. Holmes et al. Nature Microbiology profile →
Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool

2021 551 citations Áine O’Toole, Emily Scher et al. Virus Evolution profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John T. McCrone United States	14	2.0k	806	491	456	277	25	2.7k
Verity Hill United Kingdom	11	2.1k 1.0×	748 0.9×	311 0.6×	445 1.0×	323 1.2×	19	2.6k
Áine O’Toole United Kingdom	10	2.0k 1.0×	710 0.9×	215 0.4×	424 0.9×	262 0.9×	21	2.3k
Barney Potter United States	6	1.3k 0.6×	612 0.8×	340 0.7×	235 0.5×	211 0.8×	10	1.8k
Sidney M. Bell United States	4	1.3k 0.6×	587 0.7×	336 0.7×	242 0.5×	203 0.7×	5	1.8k
Charlton Callender United States	3	1.3k 0.6×	573 0.7×	319 0.6×	235 0.5×	199 0.7×	3	1.8k
Colin Megill United States	3	1.3k 0.6×	574 0.7×	313 0.6×	235 0.5×	199 0.7×	3	1.7k
Paloma Rueda Spain	24	1.1k 0.5×	567 0.7×	506 1.0×	328 0.7×	136 0.5×	58	2.2k
Thomas P. Peacock United Kingdom	24	2.0k 1.0×	686 0.9×	953 1.9×	342 0.8×	149 0.5×	47	2.9k
Olga Dolnik Germany	29	2.2k 1.1×	405 0.5×	767 1.6×	260 0.6×	89 0.3×	57	2.9k
Azaibi Tamin United States	24	2.2k 1.1×	473 0.6×	1.6k 3.2×	480 1.1×	151 0.5×	40	3.1k

Countries citing papers authored by John T. McCrone

Since Specialization

Citations

This map shows the geographic impact of John T. McCrone'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 John T. McCrone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. McCrone more than expected).

Fields of papers citing papers by John T. McCrone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. McCrone. 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 John T. McCrone. The network helps show where John T. McCrone may publish in the future.

Co-authorship network of co-authors of John T. McCrone

This figure shows the co-authorship network connecting the top 25 collaborators of John T. McCrone. A scholar is included among the top collaborators of John T. McCrone 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 John T. McCrone. John T. McCrone 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

Baele, Guy, Xiang Ji, Gabriel W. Hassler, et al.. (2025). BEAST X for Bayesian phylogenetic, phylogeographic and phylodynamic inference. Nature Methods. 22(8). 1653–1656. 8 indexed citations

Baele, Guy, Luiz Max Carvalho, Gytis Dudas, et al.. (2025). HIPSTR: highest independent posterior subtree reconstruction in TreeAnnotator X. Bioinformatics. 41(10). 3 indexed citations

Colizza, Vittoria, Philippe Lemey, John T. McCrone, et al.. (2024). Underdetected dispersal and extensive local transmission drove the 2022 mpox epidemic. Cell. 187(6). 1374–1386.e13. 24 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

Raghwani, Jayna, Louis du Plessis, John T. McCrone, et al.. (2022). Genomic Epidemiology of Early SARS-CoV-2 Transmission Dynamics, Gujarat, India. Emerging infectious diseases. 28(4). 751–758. 4 indexed citations

O’Toole, Áine, Emily Scher, Anthony Underwood, et al.. (2021). Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool. Virus Evolution. 7(2). veab064–veab064. 551 indexed citations breakdown →

O’Toole, Áine, Emily Scher, Anthony Underwood, et al.. (2021). Assignment of Epidemiological Lineages in an Emerging Pandemic Using the Pangolin Tool. Apollo (University of Cambridge). 1 indexed citations

Rambaut, Andrew, Edward C. Holmes, Áine O’Toole, et al.. (2020). A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology. Nature Microbiology. 5(11). 1403–1407. 1402 indexed citations breakdown →

Lemey, Philippe, Samuel L. Hong, Verity Hill, et al.. (2020). Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2. Nature Communications. 11(1). 5110–5110. 85 indexed citations

10.

Fitzsimmons, William J., Robert J. Woods, John T. McCrone, et al.. (2018). A speed–fidelity trade-off determines the mutation rate and virulence of an RNA virus. PLoS Biology. 16(6). e2006459–e2006459. 74 indexed citations

11.

McCrone, John T.. (2018). Influenza Virus Evolution Within and Between Human Hosts. Deep Blue (University of Michigan). 1 indexed citations

12.

Debbink, Kari, John T. McCrone, Joshua G. Petrie, et al.. (2017). Vaccination has minimal impact on the intrahost diversity of H3N2 influenza viruses. PLoS Pathogens. 13(1). e1006194–e1006194. 58 indexed citations

13.

McCrone, John T. & Adam S. Lauring. (2017). Genetic bottlenecks in intraspecies virus transmission. Current Opinion in Virology. 28. 20–25. 86 indexed citations

14.

Marino, Simeone, Hannah P. Gideon, Chang Gong, et al.. (2016). Computational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome. PLoS Computational Biology. 12(4). e1004804–e1004804. 31 indexed citations

15.

Visher, Elisa, et al.. (2016). The Mutational Robustness of Influenza A Virus. PLoS Pathogens. 12(8). e1005856–e1005856. 70 indexed citations

16.

Butchbach, Matthew E.R., et al.. (2009). Effect of diet on the survival and phenotype of a mouse model for spinal muscular atrophy. Biochemical and Biophysical Research Communications. 391(1). 835–840. 46 indexed citations

17.

McCrone, John T.. (2004). A child's eye view. The Lancet Neurology. 3(2). 132–132. 1 indexed citations

18.

McCrone, John T.. (2004). The living matrix. The Lancet Neurology. 3(10). 632–632. 1 indexed citations

19.

McCrone, John T.. (2003). Feral children. The Lancet Neurology. 2(2). 132–132. 3 indexed citations

20.

McCrone, John T.. (2002). A no brainer. The Lancet Neurology. 1(6). 394–394. 2 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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