Richard Myers

15.5k total citations · 3 hit papers
72 papers, 5.0k citations indexed

About

Richard Myers is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Richard Myers has authored 72 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Infectious Diseases, 26 papers in Epidemiology and 17 papers in Virology. Recurrent topics in Richard Myers's work include HIV Research and Treatment (16 papers), HIV/AIDS drug development and treatment (14 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Richard Myers is often cited by papers focused on HIV Research and Treatment (16 papers), HIV/AIDS drug development and treatment (14 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Richard Myers collaborates with scholars based in United Kingdom, United States and France. Richard Myers's co-authors include Kevin Brown, Maria Zambon, Meera Chand, Susan Hopkins, Natalie Groves, Simon Thelwall, Gavin Dabrera, Jamie Lopez Bernal, Margaret Tisdale and Colin Campbell and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Richard Myers

72 papers receiving 4.9k citations

Hit Papers

3 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.

Effectiveness of Covid-19 Vaccines against the B.1.617.2 (Delta) Variant

2021 1.7k citations Jamie Lopez Bernal, Nick Andrews et al. profile →
Middle East respiratory syndrome coronavirus in dromedary camels: an outbreak investigation

2013 503 citations Bart L. Haagmans, Chantal Reusken et al. The Lancet Infectious Diseases profile →
Severe respiratory illness caused by a novel coronavirus, in a patient transferred to the United Kingdom from the Middle East, September 2012

2012 361 citations Meera Chand, Colin Brown et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard Myers United Kingdom	28	3.3k	915	806	770	711	72	5.0k
Ravindra K. Gupta United Kingdom	36	5.0k 1.5×	1.7k 1.9×	1.5k 1.9×	1.9k 2.5×	279 0.4×	171	8.0k
Emma C. Thomson United Kingdom	22	2.9k 0.9×	828 0.9×	938 1.2×	155 0.2×	233 0.3×	90	4.0k
Julian Druce Australia	31	3.5k 1.1×	1.7k 1.9×	608 0.8×	238 0.3×	287 0.4×	101	5.5k
Jérôme H. Kim United States	40	2.4k 0.7×	1.1k 1.2×	917 1.1×	2.0k 2.6×	334 0.5×	197	5.4k
Igor A. Sidorov Netherlands	24	4.4k 1.3×	610 0.7×	1.2k 1.5×	738 1.0×	494 0.7×	69	7.1k
Peng Zhou China	42	6.3k 1.9×	1.6k 1.7×	1.6k 2.0×	420 0.5×	550 0.8×	172	10.4k
Chwan‐Chuen King Taiwan	42	3.0k 0.9×	1.1k 1.2×	415 0.5×	262 0.3×	442 0.6×	120	5.2k
Lia van der Hoek Netherlands	48	6.6k 2.0×	2.1k 2.3×	956 1.2×	885 1.1×	429 0.6×	159	9.4k
Robert T. Chen United States	42	2.6k 0.8×	2.6k 2.9×	577 0.7×	246 0.3×	148 0.2×	128	6.7k
Dimitrios Paraskevis Greece	37	3.2k 1.0×	2.3k 2.5×	613 0.8×	1.5k 2.0×	289 0.4×	212	5.4k

Countries citing papers authored by Richard Myers

Since Specialization

Citations

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

Fields of papers citing papers by Richard Myers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard Myers. 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 Richard Myers. The network helps show where Richard Myers may publish in the future.

Co-authorship network of co-authors of Richard Myers

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Myers. A scholar is included among the top collaborators of Richard Myers 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 Richard Myers. Richard Myers 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

Twohig, Katherine A., Katie Harman, Asad Zaidi, et al.. (2023). Representativeness of whole-genome sequencing approaches in England: the importance for understanding inequalities associated with SARS-CoV-2 infection. Epidemiology and Infection. 151. e169–e169. 1 indexed citations

Harman, Katie, Sophie Nash, Harriet Webster, et al.. (2023). Comparison of the risk of hospitalisation among BA.1 and BA.2 COVID‐19 cases treated with sotrovimab in the community in England. Influenza and Other Respiratory Viruses. 17(5). e13150–e13150. 14 indexed citations

Webster, Harriet, Tommy Nyberg, Mary Sinnathamby, et al.. (2022). Hospitalisation and mortality risk of SARS-COV-2 variant omicron sub-lineage BA.2 compared to BA.1 in England. Nature Communications. 13(1). 6053–6053. 18 indexed citations

Nyberg, Tommy, Katie Harman, Asad Zaidi, et al.. (2022). Hospitalization and Mortality Risk for COVID-19 Cases With SARS-CoV-2 AY.4.2 (VUI-21OCT-01) Compared to Non-AY.4.2 Delta Variant Sublineages. The Journal of Infectious Diseases. 226(5). 808–811. 6 indexed citations

Aggarwal, Dinesh, Richard Myers, William L. Hamilton, et al.. (2021). The role of viral genomics in understanding COVID-19 outbreaks in long term care facilities. Apollo (University of Cambridge). 11 indexed citations

Dallman, Timothy J., Philip Ashton, Aleksey Jironkin, et al.. (2018). SnapperDB: a database solution for routine sequencing analysis of bacterial isolates. Bioinformatics. 34(17). 3028–3029. 145 indexed citations

Wyllie, David, Nicholas D. Sanderson, Richard Myers, et al.. (2018). Control of Artifactual Variation in Reported Intersample Relatedness during Clinical Use of a Mycobacterium tuberculosis Sequencing Pipeline. Journal of Clinical Microbiology. 56(8). 10 indexed citations

Jin, Li, Claes Örvell, Richard Myers, et al.. (2014). Genomic diversity of mumps virus and global distribution of the 12 genotypes. Reviews in Medical Virology. 25(2). 85–101. 82 indexed citations

Timofeyev, Valeriy, Ning Li, Richard Myers, et al.. (2013). Critical roles of a small conductance Ca2+-activated K+ channel (SK3) in the repolarization process of atrial myocytes. Cardiovascular Research. 101(2). 317–325. 69 indexed citations

10.

Haagmans, Bart L., Chantal Reusken, V. Stalin Raj, et al.. (2013). Middle East respiratory syndrome coronavirus in dromedary camels: an outbreak investigation. The Lancet Infectious Diseases. 14(2). 140–145. 503 indexed citations breakdown →

11.

Mbisa, Jean L., Stéphane Hué, Andrew Buckton, et al.. (2012). Phylodynamic and Phylogeographic Patterns of the HIV Type 1 Subtype F1 Parenteral Epidemic in Romania. AIDS Research and Human Retroviruses. 28(9). 1161–1166. 6 indexed citations

12.

Onyango, Clayton, Stephen R. Welch, Patrick K. Munywoki, et al.. (2012). Molecular epidemiology of human rhinovirus infections in Kilifi, coastal Kenya. Journal of Medical Virology. 84(5). 823–831. 42 indexed citations

13.

Glatter, Kathryn A., Richard Myers, & Nipavan Chiamvimonvat. (2012). Recommendations Regarding Dietary Intake and Caffeine and Alcohol Consumption in Patients With Cardiac Arrhythmias: What Do You Tell Your Patients To Do or Not To Do?. Current Treatment Options in Cardiovascular Medicine. 14(5). 529–535. 22 indexed citations

14.

Mandal, Sema, Laura Anderson, Tim Brown, et al.. (2011). Investigating Transmission of Mycobacterium bovis in the United Kingdom in 2005 to 2008. Journal of Clinical Microbiology. 49(5). 1943–1950. 22 indexed citations

15.

Galiano, Mónica, Paul‐Michael Agapow, Catherine Thompson, et al.. (2011). Evolutionary Pathways of the Pandemic Influenza A (H1N1) 2009 in the UK. PLoS ONE. 6(8). e23779–e23779. 35 indexed citations

16.

Buckton, Andrew, Sara L. Bissett, Richard Myers, et al.. (2008). Development and optimization of an internally controlled dried blood spot assay for surveillance of human immunodeficiency virus type-1 drug resistance. Journal of Antimicrobial Chemotherapy. 62(6). 1191–1198. 38 indexed citations

17.

Cui, Ai‐Li, Richard Myers, Xu Wang, & Ling Jin. (2008). Analysis of the genetic variability of the mumps SH gene in viruses circulating in the UK between 1996 and 2005. Infection Genetics and Evolution. 9(1). 71–80. 19 indexed citations

18.

Myers, Richard, et al.. (2005). A statistical model for HIV-1 sequence classification using the subtype analyser (STAR). Computer applications in the biosciences. 21(17). 3535–3540. 32 indexed citations

19.

Myers, Richard, et al.. (2004). Development of a Novel Human Immunodeficiency Virus Type 1 Subtyping Tool, Subtype Analyzer (STAR): Analysis of Subtype Distribution in London. AIDS Research and Human Retroviruses. 20(5). 457–464. 16 indexed citations

20.

Myers, Richard, et al.. (2000). HIV Type 1 Protease Cleavage Site Mutations and Viral Fitness: Implications for Drug Susceptibility Phenotyping Assays. AIDS Research and Human Retroviruses. 16(12). 1149–1156. 49 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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