Gary Davies

1.2k total citations
23 papers, 269 citations indexed

About

Gary Davies is a scholar working on Infectious Diseases, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gary Davies has authored 23 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 6 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gary Davies's work include COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 detection and testing (6 papers) and COVID-19 and healthcare impacts (6 papers). Gary Davies is often cited by papers focused on COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 detection and testing (6 papers) and COVID-19 and healthcare impacts (6 papers). Gary Davies collaborates with scholars based in United Kingdom, United States and Saudi Arabia. Gary Davies's co-authors include Nabeela Mughal, Luke Moore, Aatish Patel, Esmita Charani, Sarah Denny, Derek Bell, Paul Randell, Michael Rayment, Rachael Jones and Scott J C Pallett and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Public Health.

In The Last Decade

Gary Davies

22 papers receiving 262 citations

Peers

Gary Davies

RNMI

ONCOL

Yongil Cho South Korea

Yogesh Acharya Ireland

Géza Hálasz Italy

Anna Teresa Roberts Italy

Caitlin Selvaggi United States

Catherine Lyons United States

Eleftheria Atalla United States

Charlie McLeod Australia

Rui Castro Portugal

Davide Piaggio United Kingdom

Yongil Cho South Korea

Gary Davies

66 ×0.6

22 ×0.6

20 ×0.6

RNMI

84 ×2.5

16 ×0.6

ONCOL

Citations per year, relative to Gary Davies Gary Davies (= 1×) peers Yongil Cho

Countries citing papers authored by Gary Davies

Since Specialization

Citations

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

Fields of papers citing papers by Gary Davies

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Davies

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

Hughes, Stephen H., et al.. (2024). Nirmatrelvir/ritonavir: real world drug–drug interaction management experience. Expert Review of Anti-infective Therapy. 22(9). 781–783. 3 indexed citations

Pallett, Scott J C, Michael Rayment, Joseph Heskin, et al.. (2022). Early identification of high-risk individuals for monoclonal antibody therapy and prophylaxis is feasible by SARS-CoV-2 anti-spike antibody specific lateral flow assay. Diagnostic Microbiology and Infectious Disease. 104(3). 115788–115788. 1 indexed citations

Heskin, Joseph, Scott J C Pallett, Ahmed Al‐Hindawi, et al.. (2022). Evaluating the performance characteristics of five lateral flow assays for the detection of the SARS-CoV-2 nucleocapsid antigen. Scientific Reports. 12(1). 8811–8811. 11 indexed citations

Iqbal, Fahad, Meera Joshi, Gary Davies, et al.. (2021). Design of the pilot, proof of concept REMOTE-COVID trial: remote monitoring use in suspected cases of COVID-19 (SARS-CoV-2). Pilot and Feasibility Studies. 7(1). 62–62. 9 indexed citations

Pallett, Scott J C, Sarah Denny, Aatish Patel, et al.. (2021). Point-of-care SARS-CoV-2 serological assays for enhanced case finding in a UK inpatient population. Scientific Reports. 11(1). 5860–5860. 6 indexed citations

Jones, Rachael, Michael Rayment, Nabeela Mughal, et al.. (2021). Association between SARS-CoV-2 exposure and antibody status among healthcare workers in two London hospitals: a cross-sectional study. Infection Prevention in Practice. 3(3). 100157–100157.

Heskin, Joseph, Paul Randell, Nabeela Mughal, et al.. (2021). Real-world evaluation of COVID-19 lateral flow device (LFD) mass-testing in healthcare workers at a London hospital; a prospective cohort analysis. Journal of Infection. 83(4). 452–457. 9 indexed citations

Burdett, Alison, C. Toumazou, Rashmita Sahoo, et al.. (2021). Pooled sputum to optimise the efficiency and utility of rapid, point-of-care molecular SARS-CoV-2 testing. BMC Infectious Diseases. 21(1). 665–665. 1 indexed citations

Iqbal, Fahad, Meera Joshi, Gary Davies, et al.. (2021). The pilot, proof of concept REMOTE-COVID trial: remote monitoring use in suspected cases of COVID-19 (SARS-CoV 2). BMC Public Health. 21(1). 638–638. 6 indexed citations

10.

Patel, Aatish, Ahmed Al‐Hindawi, Esmita Charani, et al.. (2021). Clinical Utility and Functionality of an Artificial Intelligence–Based App to Predict Mortality in COVID-19: Mixed Methods Analysis. JMIR Formative Research. 5(7). e27992–e27992. 8 indexed citations

11.

Patel, Aatish, Sarah Denny, Nabeela Mughal, et al.. (2020). Investigating the association between ethnicity and health outcomes in SARS-CoV-2 in a London secondary care population. PLoS ONE. 15(10). e0240960–e0240960. 14 indexed citations

12.

Vizcaychipi, Marcela P., Claire L. Shovlin, Andrew Godfrey, et al.. (2020). Increase in COVID-19 inpatient survival following detection of Thromboembolic and Cytokine storm risk from the point of admission to hospital by a near real time Traffic-light System (TraCe-Tic). The Brazilian Journal of Infectious Diseases. 24(5). 412–421. 10 indexed citations

13.

Chinn, R.J.S., et al.. (2020). Learning from critical care: Improving intra- and inter-hospital transfer processes in enhanced care and the ward. Future Healthcare Journal. 7(3). 214–217. 3 indexed citations

14.

Patel, Aatish, Esmita Charani, Sarah Denny, et al.. (2020). Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes. BMC Medical Informatics and Decision Making. 20(1). 299–299. 27 indexed citations

15.

Pallett, Scott J C, Michael Rayment, Aatish Patel, et al.. (2020). Point-of-care serological assays for delayed SARS-CoV-2 case identification among health-care workers in the UK: a prospective multicentre cohort study. The Lancet Respiratory Medicine. 8(9). 885–894. 77 indexed citations

16.

Poots, Alan J, et al.. (2017). Are the Epworth Sleepiness Scale and Stop-Bang model effective at predicting the severity of obstructive sleep apnoea (OSA); in particular OSA requiring treatment?. European Archives of Oto-Rhino-Laryngology. 274(12). 4233–4239. 14 indexed citations

17.

Balakrishnan, T. R., et al.. (2014). Weil’s disease presenting as atypical pneumonia. Acute Medicine Journal. 13(4). 178–181. 1 indexed citations

18.

Davies, Gary, et al.. (2008). Improving continuity of care in an acute medical unit: initial outcomes. QJM. 101(7). 529–533. 32 indexed citations

19.

Davies, Gary. (1983). MICROCOMPUTERS IN CIVIL ENGINEERING. Transportation Research Record Journal of the Transportation Research Board. 23 indexed citations

20.

Davies, Gary, et al.. (1974). A GENERALIZED STREET NETWORK SIMULATION MODEL. Transportation Research Record Journal of the Transportation Research Board. 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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