Joanna d’Arcy

2.1k total citations · 1 hit paper
32 papers, 984 citations indexed

About

Joanna d’Arcy is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joanna d’Arcy has authored 32 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joanna d’Arcy's work include Cardiac Imaging and Diagnostics (12 papers), Cardiac Valve Diseases and Treatments (11 papers) and Cardiovascular Effects of Exercise (9 papers). Joanna d’Arcy is often cited by papers focused on Cardiac Imaging and Diagnostics (12 papers), Cardiac Valve Diseases and Treatments (11 papers) and Cardiovascular Effects of Exercise (9 papers). Joanna d’Arcy collaborates with scholars based in United Kingdom, Switzerland and United States. Joanna d’Arcy's co-authors include Saul Myerson, Bernard Prendergast, Margaret Loudon, Sean Coffey, Andrew Kennedy, David Mant, Andrew Farmer, Jacqueline Birks, Jonathan Pearson‐Stuttard and Jo Wilson and has published in prestigious journals such as Circulation, European Heart Journal and Emerging infectious diseases.

In The Last Decade

Joanna d’Arcy

29 papers receiving 945 citations

Hit Papers

Large-scale community echocardiographic screening reveals... 2016 2026 2019 2022 2016 100 200 300 400
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.

  1. Large-scale community echocardiographic screening reveals a major burden of undiagnosed valvular heart disease in older people: the OxVALVE Population Cohort Study
    2016 405 citations Joanna d’Arcy, Sean Coffey et al. European Heart Journal profile →

Peers

Joanna d’Arcy
Judy Hung United States
José Agustín Spain
Carlos Manuel de Almeida Brandão Brazil
Omar A. Jarral United Kingdom
Asim Rafique United States
Laurie B. Armsby United States
D. Härtel Germany
Davide Gabbieri Italy
Guillaume Leurent France
Saroj Das United Kingdom
Judy Hung United States
Joanna d’Arcy
Citations per year, relative to Joanna d’Arcy Joanna d’Arcy (= 1×) peers Judy Hung

Countries citing papers authored by Joanna d’Arcy

Since Specialization
Citations

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

Fields of papers citing papers by Joanna d’Arcy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanna d’Arcy. 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 Joanna d’Arcy. The network helps show where Joanna d’Arcy may publish in the future.

Co-authorship network of co-authors of Joanna d’Arcy

This figure shows the co-authorship network connecting the top 25 collaborators of Joanna d’Arcy. A scholar is included among the top collaborators of Joanna d’Arcy 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 Joanna d’Arcy. Joanna d’Arcy 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.
d’Arcy, Joanna, et al.. (2020). Navigating through the uncharted territory of multisystem inflammatory syndrome in children (Mis-c): What the pediatric clinical nurse must know. 46(6). 273–277. 3 indexed citations
2.
Rayner, Jennifer J., Inès Abdesselam, Joanna d’Arcy, et al.. (2020). Obesity-related ventricular remodelling is exacerbated in dilated and hypertrophic cardiomyopathy. Cardiovascular Diagnosis and Therapy. 10(3). 559–567. 11 indexed citations
3.
Holdsworth, David, Iain Parsons, A. John Baksi, et al.. (2019). Cardiac MRI improves cardiovascular risk stratification in hazardous occupations. Journal of Cardiovascular Magnetic Resonance. 21(1). 48–48. 2 indexed citations
4.
Nicol, Edward, et al.. (2018). Congenital heart disease in aircrew. Heart. 105(Suppl 1). s64–s69. 3 indexed citations
5.
d’Arcy, Joanna, et al.. (2018). Heart muscle disease management in aircrew. Heart. 105(Suppl 1). s50–s56. 8 indexed citations
6.
Gray, Gary, et al.. (2018). Assessing aeromedical risk: a three-dimensional risk matrix approach. Heart. 105(Suppl 1). s9–s16. 28 indexed citations
7.
Gray, Gary, et al.. (2018). Management of established coronary artery disease in aircrew without myocardial infarction or revascularisation. Heart. 105(Suppl 1). s25–s30. 13 indexed citations
8.
Syburra, Thomas, et al.. (2018). Management of established coronary artery disease in aircrew with previous myocardial infarction or revascularisation. Heart. 105(Suppl 1). s31–s37. 15 indexed citations
9.
Nicol, Edward, et al.. (2018). Non-coronary cardiac surgery and percutaneous cardiology procedures in aircrew. Heart. 105(Suppl 1). s70–s73. 2 indexed citations
10.
Gray, Gary, et al.. (2018). The challenge of asymptomatic coronary artery disease in aircrew; detecting plaque before the accident. Heart. 105(Suppl 1). s17–s24. 18 indexed citations
11.
Gray, Gary, et al.. (2018). Management of cardiac conduction abnormalities and arrhythmia in aircrew. Heart. 105(Suppl 1). s38–s49. 16 indexed citations
12.
d’Arcy, Joanna, et al.. (2018). Contemporaneous management of valvular heart disease and aortopathy in aircrew. Heart. 105(Suppl 1). s57–s63. 3 indexed citations
13.
Mepham, Stephen, Jonathan Μ. Naylor, Matthew Adam, et al.. (2018). Aeromedical Transfer of Patients with Viral Hemorrhagic Fever. Emerging infectious diseases. 25(1). 5–14. 17 indexed citations
14.
Nicol, Edward, et al.. (2018). An introduction to aviation cardiology. Heart. 105(Suppl 1). s3–s8. 26 indexed citations
15.
Myerson, Saul, et al.. (2017). P5437Cardiac auscultation in diagnosing valvular heart disease: a comparison between general practitioners and cardiologists. European Heart Journal. 38. 1155–1155. 2 indexed citations
16.
Myerson, Saul, Joanna d’Arcy, J. Christiansen, et al.. (2016). Determination of Clinical Outcome in Mitral Regurgitation With Cardiovascular Magnetic Resonance Quantification. Circulation. 133(23). 2287–2296. 125 indexed citations
17.
d’Arcy, Joanna, Sean Coffey, Margaret Loudon, et al.. (2016). Large-scale community echocardiographic screening reveals a major burden of undiagnosed valvular heart disease in older people: the OxVALVE Population Cohort Study. European Heart Journal. 37(47). 3515–3522. 405 indexed citations breakdown →
18.
19.
Cox, Andrew T., et al.. (2015). Atrial fibrillation in the military patient: a review. Journal of the Royal Army Medical Corps. 161(3). 237–243. 5 indexed citations
20.
Coffey, Sean, Joanna d’Arcy, Margaret Loudon, et al.. (2014). The OxVALVE population cohort study (OxVALVE-PCS)—population screening for undiagnosed valvular heart disease in the elderly: study design and objectives. Open Heart. 1(1). e000043–e000043. 13 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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