M. Worthley

4.3k total citations
150 papers, 2.9k citations indexed

About

M. Worthley is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, M. Worthley has authored 150 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Cardiology and Cardiovascular Medicine, 66 papers in Radiology, Nuclear Medicine and Imaging and 52 papers in Surgery. Recurrent topics in M. Worthley's work include Cardiac Imaging and Diagnostics (62 papers), Acute Myocardial Infarction Research (33 papers) and Coronary Interventions and Diagnostics (31 papers). M. Worthley is often cited by papers focused on Cardiac Imaging and Diagnostics (62 papers), Acute Myocardial Infarction Research (33 papers) and Coronary Interventions and Diagnostics (31 papers). M. Worthley collaborates with scholars based in Australia, United States and Canada. M. Worthley's co-authors include Stephen G. Worthley, Prashanthan Sanders, Scott R. Willoughby, Ian T. Meredith, Rishi Puri, C. Schultz, John D. Horowitz, Adam J. Nelson, Derek P. Chew and Dennis H. Lau and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The Journal of Physiology.

In The Last Decade

M. Worthley

137 papers receiving 2.9k 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. Worthley Australia 30 1.9k 741 663 514 268 150 2.9k
Seiji Hokimoto Japan 30 1.8k 0.9× 988 1.3× 701 1.1× 431 0.8× 407 1.5× 166 3.1k
Achille Gaspardone Italy 30 2.0k 1.0× 1.5k 2.1× 831 1.3× 576 1.1× 144 0.5× 134 3.4k
Yuichiro Maekawa Japan 35 2.2k 1.2× 1.1k 1.4× 500 0.8× 699 1.4× 123 0.5× 201 3.8k
Martin Hülsmann Austria 36 3.0k 1.6× 853 1.2× 284 0.4× 835 1.6× 306 1.1× 153 4.4k
Hüseyin Oflaz Türkiye 35 1.5k 0.8× 516 0.7× 237 0.4× 417 0.8× 295 1.1× 114 2.8k
Damien Logeart France 38 4.0k 2.1× 821 1.1× 478 0.7× 998 1.9× 219 0.8× 147 5.4k
Nicholas L. Cruden United Kingdom 20 1.0k 0.5× 1.0k 1.4× 544 0.8× 544 1.1× 284 1.1× 44 2.6k
Francesco Versaci Italy 32 1.9k 1.0× 1.6k 2.1× 821 1.2× 614 1.2× 151 0.6× 179 3.4k
Mustafa I. Ahmed United States 30 1.7k 0.9× 570 0.8× 268 0.4× 540 1.1× 427 1.6× 127 2.7k
Corrado Vassanelli Italy 31 2.6k 1.4× 1.9k 2.6× 891 1.3× 1.3k 2.6× 244 0.9× 166 4.1k

Countries citing papers authored by M. Worthley

Since Specialization
Citations

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

Fields of papers citing papers by M. Worthley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Worthley. A scholar is included among the top collaborators of M. Worthley 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. Worthley. M. Worthley 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.
Tavella, Rosanna, Jing Wu, John A. Spertus, et al.. (2025). The patient journey in chronic coronary syndromes with/without obstructive coronary arteries. European Heart Journal - Quality of Care and Clinical Outcomes. 11(6). 806–815. 1 indexed citations
3.
Franke, Kyle B., Nicholas J. Montarello, Adam J. Nelson, et al.. (2024). Tandem lesions associate with angiographic progression of coronary artery stenoses. IJC Heart & Vasculature. 52. 101417–101417. 2 indexed citations
4.
Tavella, Rosanna, Jing Wu, Sivabaskari Pasupathy, et al.. (2023). Angina and Non-Obstructive Coronary Artery (ANOCA) Patients with Coronary Vasomotor Disorders. Life. 13(11). 2190–2190. 2 indexed citations
5.
7.
Tavella, Rosanna, Sivabaskari Pasupathy, C. Zeitz, et al.. (2017). Abstract 19361: A Comprehensive Comparison Between Myocardial Infarction With Non Obstructive Coronaries (MINOCA) and Myocardial Infarct Patients With Coronary Artery Disease (MICAD). Circulation. 1 indexed citations
8.
Steele, Peter M., Stephen G. Worthley, S. Willoughby, et al.. (2017). Noninvasive Assessment of Cardiopulmonary Reserve: Toward Early Detection of Pulmonary Vascular Disease. American Journal of Respiratory and Critical Care Medicine. 195(3). 398–401. 3 indexed citations
9.
Rajwani, Adil, et al.. (2015). Unexplained bloody pericardial effusion: a diagnostic dilemma. European Heart Journal - Cardiovascular Imaging. 16(5). 573–573. 1 indexed citations
10.
Wong, Dennis T. L., J. David Richardson, Andrew Li, et al.. (2014). Enter evaluation of mitral inflow velocity profile: optimal through plane location for mitral inflow assessment with cardiac magnetic resonance. 20(1). 975–1001. 2 indexed citations
11.
Li, Andrew, et al.. (2013). The Innocent Bystander: Papillary Fibroelastoma. The American Journal of Medicine. 126(11). 964–965. 1 indexed citations
13.
Richardson, J. David, Peter J. Psaltis, Sharon Paton, et al.. (2013). Incremental benefits of repeated mesenchymal stromal cell administration compared with solitary intervention after myocardial infarction. Cytotherapy. 16(4). 460–470. 20 indexed citations
14.
Lim, H., Scott R. Willoughby, C. Schultz, et al.. (2013). Effect of Atrial Fibrillation on Atrial Thrombogenesis in Humans: Impact of Rate and Rhythm. Journal of the American College of Cardiology. 61(8). 852–860. 139 indexed citations
15.
Worthley, Stephen G., Costas Tsioufis, M. Worthley, et al.. (2012). TCT-213 Safety And Efficacy Of A Novel Multi-Electrode Renal Denervation Catheter In Resistant Hypertension: 3 Month Data From The EnligHTN I Trial. Journal of the American College of Cardiology. 60(17). B62–B62. 3 indexed citations
16.
Wong, D., Rajiv Das, Michael Leung, et al.. (2011). TIMI Myocardial Perfusion Grade Predicts Myocardial Salvage Index: Insights From A Cardiac MRI Study. Heart Lung and Circulation. 20. S151–S152.
17.
Nelson, Adam J., Stephen G. Worthley, James D. Cameron, et al.. (2009). Cardiovascular magnetic resonance-derived aortic distensibility: validation and observed regional differences in the elderly. Journal of Hypertension. 27(3). 535–542. 62 indexed citations
18.
Anderson, Todd J., M. Worthley, David Goodhart, & Michael Curtis. (2005). Relation of Basal Coronary Nitric Oxide Activity to the Burden of Atherosclerosis. The American Journal of Cardiology. 95(10). 1170–1174. 6 indexed citations
19.
Heresztyn, Tamila, M. Worthley, & John D. Horowitz. (2004). Determination of l-arginine and NG,NG- and NG,NG′-dimethyl-l-arginine in plasma by liquid chromatography as AccQ-Fluor™ fluorescent derivatives. Journal of Chromatography B. 805(2). 325–329. 87 indexed citations
20.
Worthley, M., Roberto Corti, & Stephen G. Worthley. (2003). Vasopeptidase inhibitors: will they have a role in clinical practice?. British Journal of Clinical Pharmacology. 57(1). 27–36. 26 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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