Guann-Ming Chang

401 citations
13 papers · 337 · h-index 9

Impact in

Papers in

Guann-Ming Chang

13 papers receiving 327 citations

Peers

Guann-Ming Chang
Comparison fields: 5 of 65
  • Emergency Medicine 52
  • General Health Professions 74
  • Health Informatics 3
  • Rehabilitation 12
  • Organizational Behavior and Human Resource Management 16
Replace Curtis Leung with:
Curtis Leung United States
Laura A. Dummit United States
Qian Gu United States
Tetsuya Otsubo Japan
Ine Borghans Netherlands
Joseph James Acker Australia
Bjorn C. Westgard United States
Carol Sylvester United States
Matthew R. Cooke United States
Jeffrey Che-Hung Tsai Taiwan
Guann-Ming Chang relative to Curtis Leung United States Curtis Leung's profile →
Citations per field
00.5×2×4×6×8×9×
Curtis Leung · 1×
Citations per year

Countries citing papers authored by Guann-Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Guann-Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Guann-Ming Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guann-Ming Chang Line = papers co-authored together Guann-Ming Chang links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200992
2 200972
3 201031
4 201428
5 201625
6 201122
7 201518
8 201115
9 201612
10 20229
11 20147
12 20244
13 20242

About Guann-Ming Chang

Guann-Ming Chang is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine, General Health Professions and Rehabilitation, having authored 13 papers that have together received 337 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (3 papers), Ultrasound in Clinical Applications (1 paper), Healthcare cost, quality, practices (1 paper), Patient Satisfaction in Healthcare (1 paper), Hip and Femur Fractures (1 paper), Clinical practice guidelines implementation (1 paper), Acute Myocardial Infarction Research (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Emergency Medicine (52 citations), General Health Professions (74 citations), Health Informatics (3 citations), Rehabilitation (12 citations) and Organizational Behavior and Human Resource Management (16 citations). Guann-Ming Chang has collaborated with scholars based in Taiwan, United States and Bangladesh. Frequent co-authors include Yu‐Chi Tung, Yi‐Hau Chen, Shou‐Hsia Cheng, Ya-Hui Hsu, Yu‐Kang Tu, Kuo‐Liong Chien, Jiann‐Shing Jeng, Kuo‐Piao Chung, Jau‐Yuan Chen and Hsien‐Yen Chang. Their work appears in journals such as Medical Care, International Journal for Quality in Health Care, Medicine, Stroke and The American Journal of Managed Care.

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.

Explore authors with similar magnitude of impact