Wei-Ching Chang
- Cardiology and Cardiovascular Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Economics and Econometrics top 10%
- General Health Professions
- Co-authors
- Paul W. ArmstrongRobert M. CaliffKerry L. LeeEric J. TopolEric BoersmaKaren S. PieperRobert A. HarringtonA. Michael Lincoff
- Topics
- Acute Myocardial Infarction Research (4 papers)Antiplatelet Therapy and Cardiovascular Diseases (2 papers)Coronary Interventions and Diagnostics (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineInternal MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Wei-Ching Chang
8 papers receiving 843 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Cardiology and Cardiovascular Medicine 737
- Radiology, Nuclear Medicine and Imaging 302
- Surgery 240
- Economics and Econometrics 86
- General Health Professions 67
Countries citing papers authored by Wei-Ching Chang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 15 | |
| 3 | 31 | |
| 4 | 56 | |
| 5 | 23 | |
| 6 | 2 | |
| 7 | Predictors of Outcome in Patients With Acute Coronary Syndromes Without Persistent ST-Segment Elevationbreakdown → | 716 |
| 8 | 50 |
About Wei-Ching Chang
Wei-Ching Chang is a scholar working on Internal Medicine, Geriatrics and Gerontology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 902 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers) and Coronary Interventions and Diagnostics (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (737 citations), Internal Medicine (59 citations) and Radiology, Nuclear Medicine and Imaging (302 citations). Wei-Ching Chang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Paul W. Armstrong, Robert M. Califf, Kerry L. Lee, Eric J. Topol, Eric Boersma, Karen S. Pieper, Robert A. Harrington, A. Michael Lincoff, Ewout W. Steyerberg and Jaap W. Deckers. Their work appears in journals such as Circulation, European Heart Journal and International Journal of Cardiology.
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.