Gregory Chang
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS Research and Interventions 1
- COVID-19 Clinical Research Studies 1
-
- Human-Automation Interaction and Safety 2
- Co-authors
- Michael Lynch (1 shared paper)Nisha Ajit George (1 shared paper)Ankur M. Doshi (1 shared paper)Rebecca D. Merrill (1 shared paper)Philip Ricks (1 shared paper)Michael P. Recht (1 shared paper)Hersh Chandarana (1 shared paper)Zheng Li (1 shared paper)
- Journals
- JAIDS Journal of Acquired Immune Deficiency Syndromes (2 papers)Traffic Injury Prevention (2 papers)Academic Radiology (1 paper)Globalization and Health (1 paper)Journal of the International AIDS Society (1 paper)
- Partner nations
- United StatesKenyaTanzania
In The Last Decade
Gregory Chang
10 papers receiving 379 citations
Gregory Chang's Hit Papers
Peers
Comparison fields: 5 of 76
- Modeling and Simulation 62
- Infectious Diseases 236
- Health 78
- Obstetrics and Gynecology 10
- Animal Science and Zoology 12
Countries citing papers authored by Gregory Chang
This map shows the geographic impact of Gregory 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 Gregory Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Chang more than expected).
Fields of papers citing papers by Gregory Chang
This network shows the impact of papers produced by Gregory 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 Gregory Chang. The network helps show where Gregory Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | COVID-19 Vaccine Breakthrough Infections Reported to CDC — United States, January 1–April 30, 2021 Hit paper breakdown → | 2021 | 296 |
| 2 | 2021 | 36 | |
| 3 | 2021 | 18 | |
| 4 | 2021 | 12 | |
| 5 | 2021 | 11 | |
| 6 | 2022 | 11 | |
| 7 | 2023 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2024 | 0 |
About Gregory Chang
Gregory Chang is a scholar working on Infectious Diseases, Social Psychology, Modeling and Simulation, Applied Psychology and Microbiology, having authored 12 papers that have together received 389 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (2 papers), Behavioral Health and Interventions (1 paper), HIV/AIDS Research and Interventions (1 paper), Obesity, Physical Activity, Diet (1 paper), Vaccine Coverage and Hesitancy (1 paper), Reproductive tract infections research (1 paper), COVID-19 Clinical Research Studies (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Modeling and Simulation (62 citations), Infectious Diseases (236 citations), Health (78 citations), Obstetrics and Gynecology (10 citations) and Animal Science and Zoology (12 citations). Gregory Chang has collaborated with scholars based in United States, Kenya and Tanzania. Frequent co-authors include Michael Lynch, Nisha Ajit George, Ankur M. Doshi, Rebecca D. Merrill, Philip Ricks, Michael P. Recht, Hersh Chandarana, Zheng Li, Sara Mirza and Alys Adamski. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, Traffic Injury Prevention, Academic Radiology, Globalization and Health and Journal of the International AIDS Society.
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.