Lisa McDermott

3.3k total citations · 1 hit paper
47 papers, 2.4k citations indexed

About

Lisa McDermott is a scholar working on Sociology and Political Science, Public Health, Environmental and Occupational Health and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Lisa McDermott has authored 47 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 10 papers in Public Health, Environmental and Occupational Health and 10 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Lisa McDermott's work include Recreation, Leisure, Wilderness Management (7 papers), Patient Satisfaction in Healthcare (6 papers) and Healthcare Systems and Technology (6 papers). Lisa McDermott is often cited by papers focused on Recreation, Leisure, Wilderness Management (7 papers), Patient Satisfaction in Healthcare (6 papers) and Healthcare Systems and Technology (6 papers). Lisa McDermott collaborates with scholars based in United Kingdom, Canada and United States. Lisa McDermott's co-authors include Klaus P. Ebmeier, Lucy Yardley, Martin Gulliford, Paul Little, Mark Ashworth, Michael Moore, Judith Charlton, Gerry P McCann, Alex Dregan and Tjeerd van Staa and has published in prestigious journals such as Stroke, Cochrane Database of Systematic Reviews and CHEST Journal.

In The Last Decade

Lisa McDermott

47 papers receiving 2.3k citations

Hit 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.

A meta-analysis of depression severity and cognitive function

2009 720 citations Lisa McDermott, Klaus P. Ebmeier Journal of Affective Disorders profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lisa McDermott United Kingdom	25	559	381	351	312	294	47	2.4k
Michael E. Silverman United States	37	418 0.7×	192 0.5×	138 0.4×	208 0.7×	148 0.5×	124	3.6k
Adam W A Geraghty United Kingdom	25	245 0.4×	274 0.7×	311 0.9×	633 2.0×	47 0.2×	71	3.4k
Suzanne Cosh Australia	22	217 0.4×	218 0.6×	141 0.4×	185 0.6×	27 0.1×	88	1.7k
Johan Hoogstraten Netherlands	41	235 0.4×	753 2.0×	284 0.8×	1.0k 3.4×	22 0.1×	112	4.4k
Paul Marshall United States	23	273 0.5×	226 0.6×	723 2.1×	570 1.8×	10 0.0×	43	3.0k
Michael Feehan United States	27	218 0.4×	300 0.8×	476 1.4×	354 1.1×	15 0.1×	74	2.4k
Ian A. James United Kingdom	32	366 0.7×	272 0.7×	1.2k 3.3×	998 3.2×	12 0.0×	136	3.4k
Michelle L. Byrne Australia	33	564 1.0×	692 1.8×	345 1.0×	293 0.9×	5 0.0×	104	4.0k
Jerry L. Grenard United States	25	536 1.0×	581 1.5×	326 0.9×	351 1.1×	4 0.0×	40	3.1k
Adrian J. Williams United Kingdom	34	853 1.5×	763 2.0×	121 0.3×	213 0.7×	5 0.0×	123	3.7k

Countries citing papers authored by Lisa McDermott

Since Specialization

Citations

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

Fields of papers citing papers by Lisa McDermott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa McDermott

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

Gulliford, Martin, Dorota Juszczyk, A Toby Prevost, et al.. (2019). Electronically delivered interventions to reduce antibiotic prescribing for respiratory infections in primary care: cluster RCT using electronic health records and cohort study. Health Technology Assessment. 23(11). 1–70. 24 indexed citations

Cornelius, Victoria, Lisa McDermott, Alice S. Forster, et al.. (2018). Automated recruitment and randomisation for an efficient randomised controlled trial in primary care. Trials. 19(1). 341–341. 7 indexed citations

Leydon, Geraldine, et al.. (2017). ’Well, it literally stops me from having a life when it’s really bad': a nested qualitative interview study of patient views on the use of self-management treatments for the management of recurrent sinusitis (SNIFS trial). BMJ Open. 7(11). e017130–e017130. 5 indexed citations

Alageel, Samah, Martin Gulliford, Lisa McDermott, & Alison J. Wright. (2017). Multiple health behaviour change interventions for primary prevention of cardiovascular disease in primary care: systematic review and meta-analysis. BMJ Open. 7(6). e015375–e015375. 45 indexed citations

Juszczyk, Dorota, Judith Charlton, Lisa McDermott, et al.. (2016). Electronically delivered, multicomponent intervention to reduce unnecessary antibiotic prescribing for respiratory infections in primary care: a cluster randomised trial using electronic health records—REDUCE Trial study original protocol. BMJ Open. 6(8). e010892–e010892. 11 indexed citations

Little, Paul, Beth Stuart, Panayiota Andreou, et al.. (2016). Primary care randomised controlled trial of a tailored interactive website for the self-management of respiratory infections (Internet Doctor). BMJ Open. 6(4). e009769–e009769. 28 indexed citations

Little, Paul, Richard Hobbs, Michael Moore, et al.. (2014). The incidence and clinical variables associated with streptococcal throat infections. Health Technology Assessment. 18. 11–20. 2 indexed citations

Gulliford, Martin, Alex Dregan, Michael Moore, et al.. (2014). Continued high rates of antibiotic prescribing to adults with respiratory tract infection: survey of 568 UK general practices. BMJ Open. 4(10). e006245–e006245. 198 indexed citations

Little, Paul, Richard Hobbs, Michael Moore, et al.. (2014). Health economic analysis of the randomised controlled trial. Health Technology Assessment. 18. 51–63. 2 indexed citations

10.

Gulliford, Martin, Tjeerd van Staa, Alex Dregan, et al.. (2014). Electronic Health Records for Intervention Research: A Cluster Randomized Trial to Reduce Antibiotic Prescribing in Primary Care (eCRT Study). The Annals of Family Medicine. 12(4). 344–351. 67 indexed citations

11.

McDermott, Lisa, Lucy Yardley, Paul Little, et al.. (2014). Process evaluation of a point-of-care cluster randomised trial using a computer-delivered intervention to reduce antibiotic prescribing in primary care. BMC Health Services Research. 14(1). 594–594. 24 indexed citations

12.

Little, Paul, Michael Moore, Jo Kelly, et al.. (2013). Ibuprofen, paracetamol, and steam for patients with respiratory tract infections in primary care: pragmatic randomised factorial trial. BMJ. 347(oct25 2). f6041–f6041. 70 indexed citations

13.

Sexton, Claire E., Charlotte L. Allan, Marisa Le Masurier, et al.. (2012). Magnetic Resonance Imaging in Late-Life Depression. Archives of General Psychiatry. 69(7). 680–9. 76 indexed citations

14.

Dregan, Alex, Tjeerd van Staa, Lisa McDermott, et al.. (2012). Cluster randomized trial in the general practice research database: 2. Secondary prevention after first stroke (eCRT study): study protocol for a randomized controlled trial. Trials. 13(1). 181–181. 13 indexed citations

15.

Gulliford, Martin, Tjeerd van Staa, Lisa McDermott, et al.. (2011). Cluster randomised trial in the General Practice Research Database: 1. Electronic decision support to reduce antibiotic prescribing in primary care (eCRT study). Trials. 12(1). 115–115. 25 indexed citations

16.

Sexton, Claire E., Lisa McDermott, Ukwuori G. Kalu, et al.. (2011). Exploring the pattern and neural correlates of neuropsychological impairment in late-life depression. Psychological Medicine. 42(6). 1195–1202. 86 indexed citations

17.

Allan, Charlotte L., Claire E. Sexton, Ukwuori G. Kalu, et al.. (2011). Does the Framingham Stroke Risk Profile predict white-matter changes in late-life depression?. International Psychogeriatrics. 24(4). 524–531. 18 indexed citations

18.

McDermott, Lisa, Lucy Yardley, Paul Little, Mark Ashworth, & Martin Gulliford. (2010). Developing a computer delivered, theory based intervention for guideline implementation in general practice. BMC Family Practice. 11(1). 90–90. 54 indexed citations

19.

McDermott, Lisa & Klaus P. Ebmeier. (2009). A meta-analysis of depression severity and cognitive function. Journal of Affective Disorders. 119(1-3). 1–8. 720 indexed citations breakdown →

20.

Raghu, Ganesh, Joseph A. Lasky, Ulrich Costabel, et al.. (2005). A RANDOMIZED PLACEBO CONTROLLED TRIAL ASSESSING THE EFFICACY AND SAFETY OF ETANERCEPT IN PATIENTS WITH IDIOPATHIC PULMONARY FIBROSIS (IPF). CHEST Journal. 128(4). 496S–496S. 14 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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