Joanne T. Chang
- Physiology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Clinical Psychology top 10%
- Co-authors
- Gabriella M. AnicJack T. HolladayBridget K. AmbroseMichael D. SawdeyKaren A. CullenMeLisa R. CreamerAndrea S. GentzkeAhmed Jamal
- Topics
- Smoking Behavior and Cessation (22 papers)Air Quality and Health Impacts (7 papers)Obesity, Physical Activity, Diet (5 papers)
- Partner nations
- United StatesThailandSouth Korea
In The Last Decade
Joanne T. Chang
41 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Physiology 780
- Public Health, Environmental and Occupational Health 360
- Epidemiology 315
- Radiology, Nuclear Medicine and Imaging 266
- Clinical Psychology 237
Countries citing papers authored by Joanne T. Chang
This map shows the geographic impact of Joanne T. 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 Joanne T. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanne T. Chang more than expected).
Fields of papers citing papers by Joanne T. Chang
This network shows the impact of papers produced by Joanne T. 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 Joanne T. Chang. The network helps show where Joanne T. Chang may publish in the future.
Co-authorship network of co-authors of Joanne T. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Joanne T. Chang. A scholar is included among the top collaborators of Joanne T. 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 Joanne T. Chang. Joanne T. 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 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 13 | |
| 5 | 17 | |
| 6 | 13 | |
| 7 | 7 | |
| 8 | 32 | |
| 9 | 94 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 19 | |
| 14 | 29 | |
| 15 | 40 | |
| 16 | 5 | |
| 17 | Markov Chain Modelling Analysis of HIV/AIDS Progression: A Race-based Forecast in the United States. | 15 |
| 18 | 3 | |
| 19 | 194 | |
| 20 | 250 |
About Joanne T. Chang
Joanne T. Chang is a scholar working on Physiology, Health, Toxicology and Mutagenesis and Applied Psychology, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (22 papers), Air Quality and Health Impacts (7 papers) and Obesity, Physical Activity, Diet (5 papers). The work is most often cited by research in Physiology (780 citations), Applied Psychology (152 citations) and Ophthalmology (215 citations). Joanne T. Chang has collaborated with scholars based in United States, Thailand and South Korea. Frequent co-authors include Gabriella M. Anic, Jack T. Holladay, Bridget K. Ambrose, Michael D. Sawdey, Karen A. Cullen, MeLisa R. Creamer, Andrea S. Gentzke, Ahmed Jamal, Brian A. King and Teresa W. Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and PLoS ONE.
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.