Wei-Ching Chang

1.2k total citations
24 papers, 895 citations indexed

About

Wei-Ching Chang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and General Health Professions. According to data from OpenAlex, Wei-Ching Chang has authored 24 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 7 papers in Surgery and 5 papers in General Health Professions. Recurrent topics in Wei-Ching Chang's work include Acute Myocardial Infarction Research (13 papers), Healthcare cost, quality, practices (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Wei-Ching Chang is often cited by papers focused on Acute Myocardial Infarction Research (13 papers), Healthcare cost, quality, practices (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Wei-Ching Chang collaborates with scholars based in Canada, United States and Belgium. Wei-Ching Chang's co-authors include Paul W. Armstrong, Yuling Fu, Christopher B. Granger, Frans Van de Werf, Eric J. Topol, Robert M. Califf, Padma Kaul, Shelagh K. Genuis, Stephen J. Genuis and Chetwyn C. H. Chan and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Medicine.

In The Last Decade

Wei-Ching Chang

23 papers receiving 848 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei-Ching Chang Canada 15 594 263 194 100 99 24 895
Nancy P. Lorenze United States 13 942 1.6× 168 0.6× 209 1.1× 120 1.2× 187 1.9× 21 1.2k
Pamela J. Bradshaw Australia 17 460 0.8× 82 0.3× 125 0.6× 90 0.9× 70 0.7× 33 728
Stuart E. Sheifer United States 8 760 1.3× 303 1.2× 252 1.3× 104 1.0× 88 0.9× 10 978
W M Rodney United States 12 301 0.5× 78 0.3× 76 0.4× 112 1.1× 78 0.8× 43 692
Sarah Zaman Australia 18 841 1.4× 114 0.4× 206 1.1× 57 0.6× 203 2.1× 111 1.2k
Josephine Sollano United States 4 499 0.8× 134 0.5× 145 0.7× 142 1.4× 129 1.3× 5 802
Ira S. Nash United States 14 167 0.3× 191 0.7× 74 0.4× 131 1.3× 170 1.7× 32 645
Mary Grzybowski United States 12 245 0.4× 76 0.3× 89 0.5× 44 0.4× 77 0.8× 27 604
Bryn E. Mumma United States 19 379 0.6× 116 0.4× 120 0.6× 88 0.9× 96 1.0× 73 849
Justin M. Bachmann United States 13 438 0.7× 47 0.2× 93 0.5× 153 1.5× 99 1.0× 35 754

Countries citing papers authored by Wei-Ching Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Ching Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Ching Chang. 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 Wei-Ching Chang. The network helps show where Wei-Ching Chang may publish in the future.

Co-authorship network of co-authors of Wei-Ching Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Ching Chang. A scholar is included among the top collaborators of Wei-Ching Chang 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 Wei-Ching Chang. Wei-Ching Chang 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.
Chang, Wei-Ching. (2025). A grand plan for health equity. International Journal for Equity in Health. 24(1). 183–183.
2.
Chang, Wei-Ching & Joy Fraser. (2017). Cooperate! A paradigm shift for health equity. International Journal for Equity in Health. 16(1). 12–12. 10 indexed citations
3.
4.
Armstrong, Paul W., Kenneth W. Mahaffey, Wei-Ching Chang, et al.. (2006). Concerning the mechanism of pexelizumab's benefit in acute myocardial infarction. American Heart Journal. 151(4). 787–790. 15 indexed citations
5.
Chang, Wei-Ching, Padma Kaul, Yuling Fu, et al.. (2006). Forecasting mortality: dynamic assessment of risk in ST-segment elevation acute myocardial infarction. European Heart Journal. 27(4). 419–426. 23 indexed citations
6.
Ezekowitz, Justin A., Pierre Théroux, Wei-Ching Chang, et al.. (2006). N-terminal pro-brain natriuretic peptide and the timing, extent and mortality in ST elevation myocardial infarction. Canadian Journal of Cardiology. 22(5). 393–397. 22 indexed citations
7.
Chang, Wei-Ching, et al.. (2005). Are international differences in the outcomes of acute coronary syndromes apparent or real? A multilevel analysis. Journal of Epidemiology & Community Health. 59(5). 427–433. 27 indexed citations
8.
Chang, Wei-Ching, Eric Boersma, Christopher B. Granger, et al.. (2004). Dynamic prognostication in non-ST–elevation acute coronary syndromes: insights from GUSTO-IIB and pursuit. American Heart Journal. 148(1). 62–71. 34 indexed citations
9.
Labinaz, Marino, Padma Kaul, Robert A. Harrington, et al.. (2004). Six-month outcomes of percutaneous coronary balloon angioplasty in acute coronary syndromes: Results from the PURSUIT trial.. PubMed. 20(8). 773–8. 3 indexed citations
10.
Chang, Wei-Ching, Padma Kaul, Cynthia M. Westerhout, et al.. (2003). Impact of Sex on Long-term Mortality From Acute Myocardial Infarction vs Unstable Angina. Archives of Internal Medicine. 163(20). 2476–2476. 83 indexed citations
11.
Khadour, Fadi, Yuling Fu, Wei-Ching Chang, et al.. (2003). Impact of on-site cardiac interventional facilities on management and outcome of patients with acute coronary syndromes.. PubMed. 19(3). 257–63. 9 indexed citations
12.
Majumdar, Sumit R., Wei-Ching Chang, & Paul W. Armstrong. (2002). Do the investigative sites that take part in a positive clinical trial translate that evidence into practice?. The American Journal of Medicine. 113(2). 140–145. 33 indexed citations
13.
Wong, Brian Y L, Judy Gnarpe, Koon Teo, et al.. (2002). Does chronic Chlamydia pneumoniae infection increase the risk of myocardial injury? Insights from patients with non-ST-elevation acute coronary syndromes. American Heart Journal. 144(6). 987–994. 13 indexed citations
14.
15.
Fu, Yuling, Shaun G. Goodman, Wei-Ching Chang, et al.. (2001). Time to Treatment Influences the Impact of ST-Segment Resolution on One-Year Prognosis. Circulation. 104(22). 2653–2659. 85 indexed citations
16.
O’Shea, J.Conor, Yuling Fu, Wei-Ching Chang, & Paul W. Armstrong. (2001). A tale of two countries: Insights from the differences in Canadian/American patterns of care for patients with acute coronary syndromes. American Heart Journal. 142(1). 14–20. 9 indexed citations
17.
Chang, Wei-Ching & Chetwyn C. H. Chan. (1995). Rasch analysis for outcomes measures: some methodological considerations. Archives of Physical Medicine and Rehabilitation. 76(10). 934–939. 54 indexed citations
18.
Genuis, Stephen J., Shelagh K. Genuis, & Wei-Ching Chang. (1994). Public attitudes toward the right to die.. PubMed. 150(5). 701–8. 52 indexed citations
19.
Genuis, Stephen J., Wei-Ching Chang, & Shelagh K. Genuis. (1993). Public attitudes in Edmonton toward assisted reproductive technology.. PubMed. 149(2). 153–61. 32 indexed citations
20.
Chang, Wei-Ching. (1976). The life and times of the central limit theorem. Historia Mathematica. 3(3). 353–354. 1 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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