Virginia W. Chang
- Public Health, Environmental and Occupational Health top 0.5%
- General Health Professions top 1%
- Health top 0.5%
- Physiology top 5%
- Pharmacy top 0.5%
- Co-authors
- Nicholas A. ChristakisNeil K. MehtaDawn E. AlleyDiane S. LauderdalePatrick M. KruegerEurídice Martínez SteeleNiyati ParekhCarlos Augusto Monteiro
- Topics
- Health disparities and outcomes (21 papers)Obesity, Physical Activity, Diet (12 papers)Obesity and Health Practices (10 papers)
- Partner nations
- United StatesBrazilSingapore
In The Last Decade
Virginia W. Chang
57 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Public Health, Environmental and Occupational Health 1.8k
- General Health Professions 880
- Health 738
- Physiology 515
- Pharmacy 470
Countries citing papers authored by Virginia W. Chang
This map shows the geographic impact of Virginia W. 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 Virginia W. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia W. Chang more than expected).
Fields of papers citing papers by Virginia W. Chang
This network shows the impact of papers produced by Virginia W. 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 Virginia W. Chang. The network helps show where Virginia W. Chang may publish in the future.
Co-authorship network of co-authors of Virginia W. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Virginia W. Chang. A scholar is included among the top collaborators of Virginia W. 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 Virginia W. Chang. Virginia W. 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 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 14 | |
| 7 | 10 | |
| 8 | 12 | |
| 9 | 5 | |
| 10 | 16 | |
| 11 | 4 | |
| 12 | Ultra-processed food consumption and excess weight among US adultsbreakdown → | 310 |
| 13 | 34 | |
| 14 | 66 | |
| 15 | 53 | |
| 16 | 13 | |
| 17 | 189 | |
| 18 | 335 | |
| 19 | 20 | |
| 20 | 39 |
About Virginia W. Chang
Virginia W. Chang is a scholar working on Health, Pharmacy and Neuropsychology and Physiological Psychology, having authored 61 papers that have together received 3.6k indexed citations. Recurring topics across this work include Health disparities and outcomes (21 papers), Obesity, Physical Activity, Diet (12 papers) and Obesity and Health Practices (10 papers). The work is most often cited by research in Pharmacy (470 citations), Health (738 citations) and Public Health, Environmental and Occupational Health (1.8k citations). Virginia W. Chang has collaborated with scholars based in United States, Brazil and Singapore. Frequent co-authors include Nicholas A. Christakis, Neil K. Mehta, Dawn E. Alley, Diane S. Lauderdale, Patrick M. Krueger, Eurídice Martínez Steele, Niyati Parekh, Carlos Augusto Monteiro, Filippa Juul and Tyler N. A. Winkelman. Their work appears in journals such as JAMA, Annals of Internal Medicine 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.