M. Munnery

1.5k total citations
23 papers, 957 citations indexed

About

M. Munnery is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Geriatrics and Gerontology. According to data from OpenAlex, M. Munnery has authored 23 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 10 papers in Pulmonary and Respiratory Medicine and 3 papers in Geriatrics and Gerontology. Recurrent topics in M. Munnery's work include Cardiovascular Health and Disease Prevention (11 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers) and Blood Pressure and Hypertension Studies (4 papers). M. Munnery is often cited by papers focused on Cardiovascular Health and Disease Prevention (11 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers) and Blood Pressure and Hypertension Studies (4 papers). M. Munnery collaborates with scholars based in United Kingdom, United States and Saudi Arabia. M. Munnery's co-authors include Ian B. Wilkinson, John R. Cockcroft, Carmel M. McEniery, Barry J. McDonnell, Yasmin Yasmin, Sharon Wallace, Kaisa Mäki-Petäjä, Stacey S. Hickson, Yoav Ben‐Shlomo and Charlotte E. Bolton and has published in prestigious journals such as Diabetes Care, Hypertension and International Journal of Epidemiology.

In The Last Decade

M. Munnery

23 papers receiving 935 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Munnery United Kingdom 10 737 270 130 101 75 23 957
O. Henry France 9 592 0.8× 211 0.8× 87 0.7× 93 0.9× 121 1.6× 28 823
Laure Joly France 15 679 0.9× 140 0.5× 180 1.4× 73 0.7× 103 1.4× 33 988
Caroline Bussy France 7 693 0.9× 235 0.9× 124 1.0× 62 0.6× 58 0.8× 10 841
Chris Adamopoulos Greece 17 996 1.4× 324 1.2× 139 1.1× 285 2.8× 80 1.1× 28 1.4k
Florence Beauvais France 16 1.2k 1.6× 190 0.7× 195 1.5× 68 0.7× 72 1.0× 40 1.4k
Hidetaka Itoh Japan 18 576 0.8× 113 0.4× 146 1.1× 130 1.3× 48 0.6× 77 944
Louise Shiel Australia 17 711 1.0× 213 0.8× 147 1.1× 51 0.5× 51 0.7× 34 990
A. Bénétos France 9 718 1.0× 201 0.7× 114 0.9× 68 0.7× 84 1.1× 32 849
Sergey Efremov Russia 12 386 0.5× 96 0.4× 319 2.5× 172 1.7× 32 0.4× 58 738
Oben Baysan Türkiye 16 630 0.9× 165 0.6× 177 1.4× 84 0.8× 128 1.7× 81 875

Countries citing papers authored by M. Munnery

Since Specialization
Citations

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

Fields of papers citing papers by M. Munnery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Munnery

This figure shows the co-authorship network connecting the top 25 collaborators of M. Munnery. A scholar is included among the top collaborators of M. Munnery 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 M. Munnery. M. Munnery 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.
2.
Albarrati, Ali, Nichola Gale, M. Munnery, et al.. (2022). The Timed Up and Go test predicts frailty in patients with COPD. npj Primary Care Respiratory Medicine. 32(1). 24–24. 15 indexed citations
3.
Gale, Nichola, Ali Albarrati, M. Munnery, et al.. (2019). Aortic Pulse Wave Velocity as a Measure of Cardiovascular Risk in Chronic Obstructive Pulmonary Disease: Two-Year Follow-Up Data from the ARCADE Study. Medicina. 55(4). 89–89. 8 indexed citations
4.
Albarrati, Ali, Nichola Gale, Stephanie Enright, et al.. (2016). A simple and rapid test of physical performance in chronic obstructive pulmonary disease. International Journal of COPD. Volume 11. 1785–1791. 22 indexed citations
5.
Albarrati, Ali, Nichola Gale, M. Munnery, JR Cockcroft, & DJ Shale. (2015). P22 Distribution and Prediction of 10-years Risk for Coronary Heart Disease in COPD. Thorax. 70(Suppl 3). A86–A86. 1 indexed citations
6.
Gale, Nichola, M. Munnery, Carmel M. McEniery, et al.. (2014). Rapid progression of central arterial stiffness in copd: preliminary 2 year follow-up data from the ARCADE study. Journal of the American Society of Hypertension. 8(4). e4–e5. 1 indexed citations
7.
Gale, Nichola, Ali Albarrati, M. Munnery, et al.. (2014). Assessment of Risk in Chronic Airways Disease Evaluation (ARCADE). Chronic Respiratory Disease. 11(4). 199–207. 6 indexed citations
8.
9.
Albarrati, Ali, Nichola Gale, Stephanie Enright, et al.. (2014). M139 Frailty And Premature Cardiovascular Ageing In Copd. Thorax. 69(Suppl 2). A212–A213. 1 indexed citations
10.
McDonnell, Barry J., Kaisa Mäki-Petäjä, M. Munnery, et al.. (2013). Habitual Exercise and Blood Pressure: Age Dependency and Underlying Mechanisms. American Journal of Hypertension. 26(3). 334–341. 31 indexed citations
11.
Gale, Nichola, et al.. (2012). P1.24 ASSESSMENT OF RISK FACTORS IN CHRONIC AIRWAYS DISEASE EVALUATION (ARCADE). Artery Research. 6(4). 158–158. 1 indexed citations
12.
Gale, Nichola, M. Munnery, Ali Albarrati, et al.. (2012). Abstracts. Journal of Clinical Hypertension. 14(s1). A1–A144. 1 indexed citations
13.
Bolton, Charlotte E., Carmel M. McEniery, Vimal Raj, et al.. (2011). Aortic calcification, arterial stiffness and bone mineral density in patients with COPD☆. Artery Research. 5(1). 30–30. 9 indexed citations
14.
McEniery, Carmel M., Michael Spratt, M. Munnery, et al.. (2010). An Analysis of Prospective Risk Factors for Aortic Stiffness in Men. Hypertension. 56(1). 36–43. 158 indexed citations
15.
McDonnell, Barry J., James Coulson, M. Munnery, et al.. (2010). THE RELATIONSHIP BETWEEN LARGE ARTERY STIFFNESS, WAVE REFLECTION AND PULSATILITY IN THE MICRO-CIRCULATION: NEW INSIGHTS INTO MANAGEMENT OF BOTH HYPERTENSION AND DIABETES: PP.10.389. Journal of Hypertension. 28. e166–e167. 2 indexed citations
16.
Bolton, Charlotte E., J.R. Cockcroft, R. Sabit, et al.. (2009). Lung function in mid-life compared with later life is a stronger predictor of arterial stiffness in men: The Caerphilly Prospective Study. International Journal of Epidemiology. 38(3). 867–876. 40 indexed citations
17.
McEniery, Carmel M., Barry J. McDonnell, Sri W. Aitken, et al.. (2009). Aortic Calcification Is Associated With Aortic Stiffness and Isolated Systolic Hypertension in Healthy Individuals. Hypertension. 53(3). 524–531. 172 indexed citations
18.
McEniery, Carmel M., Yasmin Yasmin, Barry J. McDonnell, et al.. (2008). Central Pressure: Variability and Impact of Cardiovascular Risk Factors. Hypertension. 51(6). 1476–1482. 311 indexed citations
19.
McDonnell, Barry J., Charlotte E. Bolton, M. Munnery, et al.. (2007). P.069 OSTEOPOROSIS IS ASSOCIATED WITH INCREASED AORTIC PULSE WAVE VELOCITY. Artery Research. 1(2). 68–68. 2 indexed citations
20.
Craig, Kathrine J., Kieron Donovan, M. Munnery, et al.. (2003). Identification and Management of Diabetic Nephropathy in the Diabetes Clinic. Diabetes Care. 26(6). 1806–1811. 30 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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