John T. McCrone

14.2k citations
25 papers · 2.8k · 2 hit papers · h-index 14

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • COVID-19 epidemiological studies

Papers in

    • Genomics and Phylogenetic Studies 5
    • vaccines and immunoinformatics approaches 2
    • Influenza Virus Research Studies 6
    • Virology and Viral Diseases 2

John T. McCrone

24 papers receiving 2.7k citations

John T. McCrone's Hit Papers

Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool 2021 · 563 citations
5630+2+4Years since publication4008001.2k

Peers

John T. McCrone
Comparison fields: 5 of 98
  • Infectious Diseases 1.9k
  • Modeling and Simulation 234
  • Animal Science and Zoology 396
  • Epidemiology 450
  • Virology 57
Replace Verity Hill with:
Verity Hill United Kingdom
Sidney M. Bell United States
Barney Potter United States
Charlton Callender United States
Colin Megill United States
Hanzhong Wang China
Paloma Rueda Spain
Áine O’Toole United Kingdom
Thomas P. Peacock United Kingdom
Gert-Jan Godeke Netherlands
John T. McCrone relative to Verity Hill United Kingdom Verity Hill's profile →
Citations per field
00.5×10.7×
Verity Hill · 1×
Citations per year

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-authors

The 25 scholars most cited alongside John T. McCrone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John T. McCrone Line = papers co-authored together John T. McCrone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology
Hit paper breakdown →
20201427
2
Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool
Hit paper breakdown →
2021563
3 2018135
4 202089
5 201786
6 201876
7 201673
8 201671
9 201762
10 201948
11 200946
12 201631
13 202426
14 202213
15 202513
16 20254
17 20224
18 20033
19 20022
20 20241

About John T. McCrone

John T. McCrone is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Genetics and Plant Science, having authored 25 papers that have together received 2.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Genomics and Phylogenetic Studies (5 papers), Evolution and Genetic Dynamics (4 papers), Plant Virus Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Virology and Viral Diseases (2 papers), COVID-19 epidemiological studies (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Modeling and Simulation (234 citations), Animal Science and Zoology (396 citations), Epidemiology (450 citations) and Virology (57 citations). John T. McCrone has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Andrew Rambaut, Áine O’Toole, Verity Hill, Oliver G. Pybus, Edward C. Holmes, Louis du Plessis, Christopher Ruis, Adam S. Lauring, Arnold S. Monto and Robert J. Woods. Their work appears in journals such as The Lancet Neurology, Journal of Virology, PLoS Pathogens, Biochemical and Biophysical Research Communications and Nature Communications.

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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