Shirley Large

1.3k total citations · 1 hit paper
35 papers, 874 citations indexed

About

Shirley Large is a scholar working on General Health Professions, Epidemiology and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Shirley Large has authored 35 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Health Professions, 10 papers in Epidemiology and 6 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Shirley Large's work include Healthcare Systems and Technology (6 papers), Mobile Health and mHealth Applications (5 papers) and Healthcare innovation and challenges (4 papers). Shirley Large is often cited by papers focused on Healthcare Systems and Technology (6 papers), Mobile Health and mHealth Applications (5 papers) and Healthcare innovation and challenges (4 papers). Shirley Large collaborates with scholars based in United Kingdom, Ireland and Netherlands. Shirley Large's co-authors include John Powell, Nadia Inglis, Clare Thomas, Alan Montgomery, Chris Salisbury, Louisa Edwards, Sandra Hollinghurst, Gillian Smith, Martyn Regan and Alicia O’Cathain and has published in prestigious journals such as BMJ, Thorax and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Shirley Large

35 papers receiving 835 citations

Hit Papers

The Characteristics and Motivations of Online Health Info... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shirley Large United Kingdom 14 437 162 153 152 106 35 874
Elissa V. Klinger United States 16 439 1.0× 91 0.6× 201 1.3× 104 0.7× 130 1.2× 35 1.0k
Sandra W. Long United States 4 1.2k 2.8× 179 1.1× 163 1.1× 187 1.2× 66 0.6× 4 1.6k
Katherine Waite United States 15 692 1.6× 129 0.8× 215 1.4× 116 0.8× 58 0.5× 21 1.2k
Stefano Campostrini Italy 17 238 0.5× 184 1.1× 184 1.2× 144 0.9× 84 0.8× 67 991
Deborah Ward United Kingdom 14 391 0.9× 131 0.8× 169 1.1× 63 0.4× 90 0.8× 34 997
Ghassan Hamadeh Lebanon 18 286 0.7× 149 0.9× 210 1.4× 72 0.5× 68 0.6× 75 858
K OʼRourke Australia 17 306 0.7× 139 0.9× 184 1.2× 92 0.6× 78 0.7× 35 896
Ramona Finnie United States 17 545 1.2× 173 1.1× 270 1.8× 142 0.9× 214 2.0× 32 1.4k
Macarena C. García United States 13 318 0.7× 183 1.1× 255 1.7× 130 0.9× 67 0.6× 26 938
Ashley B. Coffield United States 8 579 1.3× 323 2.0× 293 1.9× 159 1.0× 29 0.3× 10 1.3k

Countries citing papers authored by Shirley Large

Since Specialization
Citations

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

Fields of papers citing papers by Shirley Large

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shirley Large

This figure shows the co-authorship network connecting the top 25 collaborators of Shirley Large. A scholar is included among the top collaborators of Shirley Large 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 Shirley Large. Shirley Large 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.
Harcourt, Sally, Roger Morbey, Paul Loveridge, et al.. (2016). Developing and validating a new national remote health advice syndromic surveillance system in England. Journal of Public Health. 39(1). fdw013–fdw013. 24 indexed citations
2.
Salisbury, Chris, Alicia O’Cathain, Louisa Edwards, et al.. (2016). Effectiveness of an integrated telehealth service for patients with depression: a pragmatic randomised controlled trial of a complex intervention. The Lancet Psychiatry. 3(6). 515–525. 68 indexed citations
3.
Salisbury, Chris, Alicia O’Cathain, Clare Thomas, et al.. (2016). Telehealth for patients at high risk of cardiovascular disease: pragmatic randomised controlled trial. BMJ. 353. i2647–i2647. 50 indexed citations
4.
Salisbury, Chris, Clare Thomas, Alicia O’Cathain, et al.. (2015). TElehealth in CHronic disease: mixed-methods study to develop the TECH conceptual model for intervention design and evaluation. BMJ Open. 5(2). e006448–e006448. 53 indexed citations
5.
Cook, Erica, Gurch Randhawa, Andrew Guppy, & Shirley Large. (2015). A study of urgent and emergency referrals from NHS Direct within England. BMJ Open. 5(5). e007533–e007533. 11 indexed citations
6.
Elliot, Alex J., Edna Kara, Paul Loveridge, et al.. (2015). Internet-based remote health self-checker symptom data as an adjuvant to a national syndromic surveillance system. Epidemiology and Infection. 143(16). 3416–3422. 16 indexed citations
8.
Lackenby, Angie, Alex J. Elliot, Nick Andrews, et al.. (2013). Virological self-sampling to monitor influenza antiviral susceptibility in a community cohort. Journal of Antimicrobial Chemotherapy. 68(10). 2324–2331. 5 indexed citations
9.
Fordham, Richard, et al.. (2013). A cost-minimisation study of 1,001 NHS Direct users. BMC Health Services Research. 13(1). 300–300. 6 indexed citations
10.
Cook, Erica, et al.. (2012). A U.K. Case Study of Who Uses NHS Direct: Investigating the Impact of Age, Gender, and Deprivation on the Utilization of NHS Direct. Telemedicine Journal and e-Health. 18(9). 693–698. 12 indexed citations
11.
12.
Hsu, William C., Peter A. Bath, Shirley Large, & Sarah Williams. (2011). Older people's use of NHS Direct. Age and Ageing. 40(3). 335–340. 17 indexed citations
13.
Powell, John, et al.. (2011). The Characteristics and Motivations of Online Health Information Seekers: Cross-Sectional Survey and Qualitative Interview Study. Journal of Medical Internet Research. 13(1). e20–e20. 337 indexed citations breakdown →
14.
Loveridge, Paul, D.L. Cooper, Alex J. Elliot, et al.. (2010). Vomiting calls to NHS Direct provide an early warning of norovirus outbreaks in hospitals. Journal of Hospital Infection. 74(4). 385–393. 30 indexed citations
15.
Rubin, G. James, Richard Amlôt, Holly Carter, et al.. (2010). Reassuring and managing patients with concerns about swine flu: Qualitative interviews with callers to NHS Direct. BMC Public Health. 10(1). 451–451. 19 indexed citations
16.
Smith, Gillian, et al.. (2008). Tracking the spatial diffusion of influenza and norovirus using telehealth data: A spatiotemporal analysis of syndromic data. BMC Medicine. 6(1). 16–16. 40 indexed citations
17.
Large, Shirley. (1965). The Prevention of Tuberculosis in Gurkhas. Journal of the Royal Army Medical Corps. 111(1). 131–146. 4 indexed citations
18.
Large, Shirley, et al.. (1964). Results of chemotherapy and partial lung resection for pulmonary tuberculosis in Gurkha soldiers:. Tubercle. 45(4). 336–344. 1 indexed citations
19.
Large, Shirley, et al.. (1958). Aspiration in Treatment of Primary Tuberculous Pleural Effusion. BMJ. 1(5086). 1512–1514. 16 indexed citations
20.
Large, Shirley, et al.. (1957). Resection in pulmonary tuberculosis. British Journal of Tuberculosis and Diseases of the Chest. 51(2). 173–180. 3 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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