Thomas R. Connor

22.4k total citations · 5 hit papers
76 papers, 7.3k citations indexed

About

Thomas R. Connor is a scholar working on Molecular Biology, Infectious Diseases and Endocrinology. According to data from OpenAlex, Thomas R. Connor has authored 76 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 19 papers in Infectious Diseases and 13 papers in Endocrinology. Recurrent topics in Thomas R. Connor's work include Genomics and Phylogenetic Studies (15 papers), SARS-CoV-2 and COVID-19 Research (12 papers) and Bacteriophages and microbial interactions (10 papers). Thomas R. Connor is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), SARS-CoV-2 and COVID-19 Research (12 papers) and Bacteriophages and microbial interactions (10 papers). Thomas R. Connor collaborates with scholars based in United Kingdom, United States and Finland. Thomas R. Connor's co-authors include Simon R. Harris, Julian Parkhill, Stephen D. Bentley, Nicholas J. Croucher, Andrew J. Page, Jacqueline A. Keane, Aidan Delaney, Jukka Corander, Harold Swerdlow and Anna Bertoni and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Thomas R. Connor

69 papers receiving 7.2k citations

Hit Papers

Rapid phylogenetic analysis of large samples of recombina... 2012 2026 2016 2021 2014 2012 2013 2012 2020 500 1000 1.5k

Peers

Thomas R. Connor
Jian Yang China
María Fookes United Kingdom
Jacqueline A. Keane United Kingdom
Andrew J. Page United Kingdom
Derek Pickard United Kingdom
Jian Yang China
Thomas R. Connor
Citations per year, relative to Thomas R. Connor Thomas R. Connor (= 1×) peers Jian Yang

Countries citing papers authored by Thomas R. Connor

Since Specialization
Citations

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

Fields of papers citing papers by Thomas R. Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas R. Connor. 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 Thomas R. Connor. The network helps show where Thomas R. Connor may publish in the future.

Co-authorship network of co-authors of Thomas R. Connor

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

All Works

20 of 20 papers shown
1.
Morriss, Arthur, Guy Robinson, Rachel M. Chalmers, Simone M. Cacciò, & Thomas R. Connor. (2025). Parapipe: a pipeline for parasite next-generation sequencing data analysis applied to Cryptosporidium. Access Microbiology. 7(8).
2.
Bull, Matthew, Mandy Wootton, Lim Jones, et al.. (2024). Genomic epidemiology reveals geographical clustering of multidrug-resistant Escherichia coli ST131 associated with bacteraemia in Wales. Nature Communications. 15(1). 1371–1371. 8 indexed citations
3.
Postans, Mark, Nicole Pacchiarini, Jiao Song, et al.. (2024). Evaluating the risk of SARS-CoV-2 reinfection with the Omicron or Delta variant in Wales, UK. PLoS ONE. 19(9). e0309645–e0309645.
4.
Pacchiarini, Nicole, Clare Sawyer, Christopher J. Williams, et al.. (2022). Epidemiological analysis of the first 1000 cases of SARS‐CoV‐2 lineage BA.1 (B.1.1.529, Omicron) compared with co‐circulating Delta in Wales, UK. Influenza and Other Respiratory Viruses. 16(6). 986–993. 12 indexed citations
6.
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
7.
Adamson, James P., Nicole Pacchiarini, Thomas R. Connor, et al.. (2022). A large outbreak of COVID-19 in a UK prison, October 2020 to April 2021. Epidemiology and Infection. 150. 1–27. 3 indexed citations
8.
Attwood, Stephen W., Sarah C. Hill, David M. Aanensen, Thomas R. Connor, & Oliver G. Pybus. (2022). Phylogenetic and phylodynamic approaches to understanding and combating the early SARS-CoV-2 pandemic. Nature Reviews Genetics. 23(9). 547–562. 78 indexed citations
9.
O’Connell, Lauren A., Hibo Asad, Grant Hall, et al.. (2022). Detailed analysis of in-hospital transmission of SARS-CoV-2 using whole genome sequencing. Journal of Hospital Infection. 131. 23–33.
10.
Jones, C. Hal, Gordon Webster, Alex J. Mullins, et al.. (2021). Kill and cure: genomic phylogeny and bioactivity of Burkholderia gladioli bacteria capable of pathogenic and beneficial lifestyles. Microbial Genomics. 7(1). 32 indexed citations
11.
12.
Mullins, Alex J., Gordon Webster, Hak Joong Kim, et al.. (2021). Discovery of the Pseudomonas Polyyne Protegencin by a Phylogeny-Guided Study of Polyyne Biosynthetic Gene Cluster Diversity. mBio. 12(4). e0071521–e0071521. 21 indexed citations
13.
Jones, Davey L., Marcos Quintela‐Baluja, David W. Graham, et al.. (2020). Shedding of SARS-CoV-2 in feces and urine and its potential role in person-to-person transmission and the environment-based spread of COVID-19. The Science of The Total Environment. 749. 141364–141364. 259 indexed citations
14.
Crickmore, Neil, Colin Berry, Suresh Panneerselvam, et al.. (2020). A structure-based nomenclature for Bacillus thuringiensis and other bacteria-derived pesticidal proteins. Journal of Invertebrate Pathology. 186. 107438–107438. 222 indexed citations breakdown →
15.
Southgate, Joel, Matthew Bull, Joanne Watkins, et al.. (2019). Influenza classification from short reads with VAPOR facilitates robust mapping pipelines and zoonotic strain detection for routine surveillance applications. Bioinformatics. 36(6). 1681–1688. 4 indexed citations
16.
Petrovska, Liljana, Alison E. Mather, Manal AbuOun, et al.. (2016). Microevolution of Monophasic Salmonella Typhimurium during Epidemic, United Kingdom, 2005–2010. Emerging infectious diseases. 22(4). 617–624. 133 indexed citations
17.
Okoro, Chinyere K., Lars Barquist, Thomas R. Connor, et al.. (2015). Signatures of Adaptation in Human Invasive Salmonella Typhimurium ST313 Populations from Sub-Saharan Africa. PLoS neglected tropical diseases. 9(3). e0003611–e0003611. 100 indexed citations
18.
Fleming, Vicki M., Thomas R. Connor, Jukka Corander, et al.. (2013). Historical Zoonoses and Other Changes in Host Tropism of Staphylococcus aureus, Identified by Phylogenetic Analysis of a Population Dataset. PLoS ONE. 8(5). e62369–e62369. 48 indexed citations
19.
Cheng, Lu, Thomas R. Connor, David M. Aanensen, Brian G. Spratt, & Jukka Corander. (2011). Bayesian semi-supervised classification of bacterial samples using MLST databases. BMC Bioinformatics. 12(1). 302–302. 18 indexed citations
20.
Hanage, William P., Christophe Fraser, Jing Tang, Thomas R. Connor, & Jukka Corander. (2009). Hyper-Recombination, Diversity, and Antibiotic Resistance in Pneumococcus. Science. 324(5933). 1454–1457. 133 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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