William Parsonage

7.3k total citations · 1 hit paper
144 papers, 3.0k citations indexed

About

William Parsonage is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, William Parsonage has authored 144 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Cardiology and Cardiovascular Medicine, 39 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Surgery. Recurrent topics in William Parsonage's work include Acute Myocardial Infarction Research (84 papers), Cardiac Imaging and Diagnostics (38 papers) and Atrial Fibrillation Management and Outcomes (20 papers). William Parsonage is often cited by papers focused on Acute Myocardial Infarction Research (84 papers), Cardiac Imaging and Diagnostics (38 papers) and Atrial Fibrillation Management and Outcomes (20 papers). William Parsonage collaborates with scholars based in Australia, New Zealand and United Kingdom. William Parsonage's co-authors include Louise Cullen, Jaimi Greenslade, Martin Than, Sally Aldous, Christopher Hammett, John W. Pickering, Dylan Flaws, Anthony Brown, Tracey Hawkins and Mark Richards and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

William Parsonage

131 papers receiving 2.9k 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.

Pregnancy outcomes in women with cardiovascular disease: evolving trends over 10 years in the ESC Registry Of Pregnancy And Cardiac disease (ROPAC)

2019 202 citations Jolien W. Roos‐Hesselink, Lucia Baris et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Parsonage Australia	30	2.5k	1.0k	696	348	230	144	3.0k
Steven Borzak United States	31	2.2k 0.9×	574 0.6×	707 1.0×	211 0.6×	202 0.9×	82	3.2k
Joni R. Beshansky United States	29	2.4k 1.0×	1.5k 1.5×	449 0.6×	669 1.9×	189 0.8×	57	3.6k
Ramón Corbalán Chile	13	3.0k 1.2×	1.1k 1.0×	1.1k 1.6×	224 0.6×	165 0.7×	24	3.5k
Simon A. Mahler United States	22	1.3k 0.5×	726 0.7×	269 0.4×	510 1.5×	125 0.5×	124	2.0k
Howard A. Cooper United States	25	1.8k 0.7×	247 0.2×	595 0.9×	328 0.9×	403 1.8×	88	2.7k
Anuradha Lala United States	34	1.9k 0.8×	190 0.2×	886 1.3×	291 0.8×	260 1.1×	131	4.0k
J. Douglas Kirk United States	24	1.6k 0.7×	930 0.9×	249 0.4×	648 1.9×	159 0.7×	69	2.3k
Lyall Higginson Canada	26	1.4k 0.6×	529 0.5×	979 1.4×	523 1.5×	196 0.9×	73	3.0k
Vicente Bertomeu‐González Spain	27	1.9k 0.8×	530 0.5×	565 0.8×	60 0.2×	286 1.2×	186	3.0k
Miłosz Jaguszewski Poland	25	1.2k 0.5×	588 0.6×	655 0.9×	203 0.6×	154 0.7×	155	2.4k

Countries citing papers authored by William Parsonage

Since Specialization

Citations

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

Fields of papers citing papers by William Parsonage

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Parsonage

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

Hewage, Sumudu Avanthi, Sanjeewa Kularatna, William Parsonage, et al.. (2025). Integrating a Mobile App to Enhance Atrial Fibrillation Care: Key Insights From an Implementation Study Guided by the Consolidated Framework for Implementation Research. Journal of Medical Internet Research. 27. e66815–e66815. 1 indexed citations

Gray, Jodi, Siobhan Hickling, Frank Sanfilippo, et al.. (2025). Cost-effectiveness of the transition from conventional to high-sensitivity troponin assay for the investigation and management of suspected acute coronary syndrome in the emergency department. American Heart Journal. 287. 107–118.

Hickling, Siobhan, Frank Sanfilippo, Louise Cullen, et al.. (2025). Transitioning to high-sensitivity troponin: 1-year mortality outcomes in patients with suspected acute coronary syndrome presenting to emergency departments. Heart. 111(10). 471–479. 3 indexed citations

Parsonage, William, et al.. (2024). Mapping Kansas City cardiomyopathy, Seattle Angina, and minnesota living with heart failure to the MacNew-7D in patients with heart disease. Quality of Life Research. 33(8). 2151–2163. 1 indexed citations

Abell, Bridget, David Rodwell, Samudragupta Bora, et al.. (2024). Neurodevelopmental follow-up care pathways and processes for children with congenital heart disease in Australia. Pediatric Research. 98(3). 966–975. 1 indexed citations

Ramlakhan, Karishma P., Jolien W. Roos‐Hesselink, Jaimi Greenslade, et al.. (2024). Perinatal outcomes after in-utero exposure to beta-blockers in women with heart disease: Data from the ESC EORP registry of pregnancy and cardiac disease (ROPAC). International Journal of Cardiology. 410. 132234–132234. 4 indexed citations

Kularatna, Sanjeewa, Amarzaya Jadambaa, Sumudu Avanthi Hewage, et al.. (2023). Global, regional, and national burden of heart failure associated with atrial fibrillation. BMC Cardiovascular Disorders. 23(1). 345–345. 7 indexed citations

Kularatna, Sanjeewa, Gang Chen, Richard Norman, et al.. (2022). Developing an Australian utility value set for MacNew-7D health states. Quality of Life Research. 32(4). 1151–1163. 3 indexed citations

Kularatna, Sanjeewa, Donna Rowen, Clara Mukuria, et al.. (2021). Development of a preference-based heart disease-specific health state classification system using MacNew heart disease-related quality of life instrument. Quality of Life Research. 31(1). 257–268. 5 indexed citations

10.

Roos‐Hesselink, Jolien W., Lucia Baris, Mark R. Johnson, et al.. (2020). Pregnancy Outcomes in Women With Cardiovascular Disease: Evolving Trends Over 10 Years in the ESC Registry of Pregnancy and Cardiac Disease (ROPAC). Obstetrical & Gynecological Survey. 75(5). 279–280. 11 indexed citations

11.

Greenslade, Jaimi, William Parsonage, Louise McCormack, et al.. (2020). Widespread Introduction of a High-Sensitivity Troponin Assay: Assessing the Impact on Patients and Health Services. Journal of Clinical Medicine. 9(6). 1883–1883. 16 indexed citations

12.

McCreanor, Victoria, William Parsonage, David C. Whiteman, et al.. (2019). Pharmaceutical use and costs in patients with coronary artery disease, using Australian observational data. BMJ Open. 9(11). e029360–e029360. 1 indexed citations

13.

Greenslade, Jaimi, William Parsonage, Martin Than, et al.. (2019). Factors influencing physician risk estimates for acute cardiac events in emergency patients with suspected acute coronary syndrome. Emergency Medicine Journal. 37(1). 2–7. 2 indexed citations

14.

McCreanor, Victoria, Nicholas Graves, Adrian Barnett, William Parsonage, & Gregory Merlo. (2018). A systematic review and critical analysis of cost-effectiveness studies for coronary artery disease treatment. F1000Research. 7. 77–77. 4 indexed citations

15.

Dawson, Angela, et al.. (2018). Experiences of women with cardiac disease in pregnancy: a systematic review and metasynthesis. BMJ Open. 8(9). e022755–e022755. 39 indexed citations

16.

Greenslade, Jaimi, et al.. (2017). External validation of heart-type fatty acid binding protein, high-sensitivity cardiac troponin, and electrocardiography as rule-out for acute myocardial infarction. Clinical Biochemistry. 52. 161–163. 12 indexed citations

17.

Cheng, Qinglu, Jaimi Greenslade, William Parsonage, et al.. (2016). Change to costs and lengths of stay in the emergency department and the Brisbane protocol: an observational study. BMJ Open. 6(2). e009746–e009746. 27 indexed citations

18.

Greenslade, Jaimi, Louise Cullen, William Parsonage, et al.. (2012). Examining the Signs and Symptoms Experienced by Individuals With Suspected Acute Coronary Syndrome in the Asia-Pacific Region: A Prospective Observational Study. Annals of Emergency Medicine. 60(6). 777–785.e3. 31 indexed citations

19.

Than, Martin, Louise Cullen, Sally Aldous, et al.. (2012). 2-Hour Accelerated Diagnostic Protocol to Assess Patients With Chest Pain Symptoms Using Contemporary Troponins as the Only Biomarker. Journal of the American College of Cardiology. 59(23). 2091–2098. 262 indexed citations

20.

Parsonage, William. (2002). Insulin resistance and chronic heart failure. Cardiology in Review. 2 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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