Michael Moore

19.4k total citations · 2 hit papers
388 papers, 11.2k citations indexed

About

Michael Moore is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and General Health Professions. According to data from OpenAlex, Michael Moore has authored 388 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Epidemiology, 76 papers in Pulmonary and Respiratory Medicine and 64 papers in General Health Professions. Recurrent topics in Michael Moore's work include Respiratory and Cough-Related Research (50 papers), Antibiotic Use and Resistance (47 papers) and Pneumonia and Respiratory Infections (37 papers). Michael Moore is often cited by papers focused on Respiratory and Cough-Related Research (50 papers), Antibiotic Use and Resistance (47 papers) and Pneumonia and Respiratory Infections (37 papers). Michael Moore collaborates with scholars based in United Kingdom, United States and China. Michael Moore's co-authors include Paul Little, Ian Williamson, Beth Stuart, Mark Mullee, Tony Kendrick, Carol Coupland, Julia Hippisley–Cox, Gregory T. Warner, Richard Morriss and Helen Smith and has published in prestigious journals such as The Lancet, JAMA and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Moore

365 papers receiving 10.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Observational study of effect of patient centredness and positive approach on outcomes of general practice consultations

2001 675 citations Paul Little, Michael Moore et al. profile →
Anticholinergic Drug Exposure and the Risk of Dementia

2019 356 citations Michael Moore et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michael Moore	3.0k	2.6k	1.4k	1.3k	1.2k	388	11.2k
François Schellevis	5.2k 1.8×	4.1k 1.6×	1.0k 0.7×	2.1k 1.7×	653 0.6×	365	15.1k
Chris Del Mar	3.9k 1.3×	4.2k 1.6×	1.7k 1.2×	3.2k 2.5×	2.8k 2.4×	331	16.7k
Jonathan A. Finkelstein	3.9k 1.3×	2.0k 0.8×	763 0.5×	1.9k 1.5×	1.5k 1.3×	174	11.0k
David Mant	4.8k 1.6×	2.7k 1.0×	1.5k 1.0×	3.2k 2.5×	2.6k 2.2×	218	17.0k
Martin Gulliford	2.6k 0.9×	3.5k 1.4×	711 0.5×	2.6k 2.0×	1.0k 0.9×	319	14.8k
Mieke van Driel	1.4k 0.5×	1.8k 0.7×	563 0.4×	1.5k 1.2×	1.4k 1.2×	314	7.5k
Christopher Butler	5.0k 1.7×	4.7k 1.9×	4.8k 3.3×	1.9k 1.5×	2.6k 2.2×	479	16.8k
Samir S. Shah	6.6k 2.2×	1.7k 0.6×	775 0.5×	2.0k 1.6×	2.5k 2.1×	533	15.4k
Kerenza Hood	2.2k 0.7×	3.4k 1.3×	1.7k 1.2×	2.5k 1.9×	1.4k 1.2×	368	11.4k
Paul Little	4.8k 1.6×	5.4k 2.1×	3.7k 2.6×	3.1k 2.4×	2.9k 2.4×	541	19.0k

Countries citing papers authored by Michael Moore

Since Specialization

Citations

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

Fields of papers citing papers by Michael Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Moore

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

Venekamp, Roderick P, Ben Ainsworth, Tammy Thomas, et al.. (2025). Saline nasal irrigation for acute sinusitis (SNIFS II): a randomised controlled pilot trial with nested process evaluation. BJGP Open. 9(3). BJGPO.2024.0307–BJGPO.2024.0307.

Parisi, Andrea, et al.. (2024). Impact of COVID-19 pandemic on vaccine hesitancy and sentiment changes: A survey of healthcare workers in 12 countries. Public Health. 238. 188–196. 6 indexed citations

Hu, Xiao-Yang, Michael Moore, Beth Stuart, et al.. (2023). Use of Chinese herbal medicines for acute cough in China: An online survey. European Journal of Integrative Medicine. 62. 102292–102292. 4 indexed citations

Wilcox, Christopher R, Ingrid Müller, Abigail Moore, et al.. (2023). Feasibility of a placebo-controlled trial of antibiotics for possible urinary tract infection in care homes: a qualitative interview study. BJGP Open. 7(3). BJGPO.2023.0014–BJGPO.2023.0014.

Little, Paul, Taeko Becque, Alastair D Hay, et al.. (2023). Predicting illness progression for children with lower respiratory infections in primary care: a prospective cohort and observational study. British Journal of General Practice. 73(737). e885–e893.

Gadalla, Amal, Daniel Farewell, Kathryn Hughes, et al.. (2022). Antibiotic consumption and time to recovery from uncomplicated urinary tract infection: secondary analysis of observational data from a point-of-care test trial. British Journal of General Practice. 72(725). e882–e890. 1 indexed citations

Willcox, Merlin, et al.. (2021). A synthesis of the evidence regarding safety of a Chinese herbal formula Shufeng Jiedu: A pharmacological review. Pharmacological Research - Modern Chinese Medicine. 2. 100017–100017. 5 indexed citations

Zhang, Yingying, Shi-Bing Liang, Xiao-Yang Hu, et al.. (2021). Chinese patent herbal medicine (Shufeng Jiedu capsule) for acute upper respiratory tract infections: A systematic review and meta-analysis. Integrative Medicine Research. 10(3). 100726–100726. 10 indexed citations

Herrett, Emily, Elizabeth Williamson, Kieran E. Brack, et al.. (2021). The effect of statins on muscle symptoms in primary care: the StatinWISE series of 200 N-of-1 RCTs. Health Technology Assessment. 25(16). 1–62. 3 indexed citations

10.

Herrett, Emily, Elizabeth Williamson, Kieran E. Brack, et al.. (2021). Statin treatment and muscle symptoms: series of randomised, placebo controlled n-of-1 trials. BMJ. 372. n135–n135. 114 indexed citations

11.

Ainsworth, Ben, Sascha Miller, Beth Stuart, et al.. (2021). Infection Control Behavior at Home During the COVID-19 Pandemic: Observational Study of a Web-Based Behavioral Intervention (Germ Defence). Journal of Medical Internet Research. 23(2). e22197–e22197. 15 indexed citations

12.

Gulliford, Martin, Judith Charlton, Olga Boiko, et al.. (2021). Safety of reducing antibiotic prescribing in primary care: a mixed-methods study. SHILAP Revista de lepidopterología. 9(9). 1–126. 9 indexed citations

13.

Rosewarne, Emalie, Liping Huang, Daisy H. Coyle, et al.. (2020). Assessing the Healthy Food Partnership’s Proposed Nutrient Reformulation Targets for Foods and Beverages in Australia. Nutrients. 12(5). 1346–1346. 21 indexed citations

14.

Lown, Mark, Michael E. Brown, Chloë Brown, et al.. (2020). Machine learning detection of Atrial Fibrillation using wearable technology. PLoS ONE. 15(1). e0227401–e0227401. 48 indexed citations

15.

Stuart, Beth, Alastair Brown, Ann Van den Bruel, et al.. (2019). Exploring the appropriateness of antibiotic prescribing for common respiratory tract infections in UK primary care. Journal of Antimicrobial Chemotherapy. 75(1). 236–242. 15 indexed citations

16.

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

17.

Ordóñez-Mena, José M, Thomas Fanshawe, Christopher Butler, et al.. (2019). Relationship between microbiology of throat swab and clinical course among primary care patients with acute cough: a prospective cohort study. Family Practice. 37(3). 332–339. 6 indexed citations

18.

Hay, Alastair D, Harriet Downing, Nick Francis, et al.. (2019). Anaesthetic–analgesic ear drops to reduce antibiotic consumption in children with acute otitis media: the CEDAR RCT. Health Technology Assessment. 23(34). 1–48. 15 indexed citations

19.

Lai, Lily, Andrew Flower, Michael Moore, & George Lewith. (2014). Chinese Herbal Medicine and Polycystic Ovary Syndrome: A Randomized Feasibility and Pilot Study in the United Kingdom. The Journal of Alternative and Complementary Medicine. 20(5). A61–A62. 5 indexed citations

20.

Li, Xun, et al.. (2014). Chinese Herbal Medicine for Oligomenorrhoea and Amenorrhoea in Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis. The Journal of Alternative and Complementary Medicine. 20(5). A129–A129. 5 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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