Mei‐Wei Chang

795 total citations
40 papers, 622 citations indexed

About

Mei‐Wei Chang is a scholar working on Public Health, Environmental and Occupational Health, Clinical Psychology and Pharmacy. According to data from OpenAlex, Mei‐Wei Chang has authored 40 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Public Health, Environmental and Occupational Health, 18 papers in Clinical Psychology and 13 papers in Pharmacy. Recurrent topics in Mei‐Wei Chang's work include Obesity, Physical Activity, Diet (28 papers), Eating Disorders and Behaviors (16 papers) and Obesity and Health Practices (13 papers). Mei‐Wei Chang is often cited by papers focused on Obesity, Physical Activity, Diet (28 papers), Eating Disorders and Behaviors (16 papers) and Obesity and Health Practices (13 papers). Mei‐Wei Chang collaborates with scholars based in United States and Vietnam. Mei‐Wei Chang's co-authors include Susan Nitzke, Roger Brown, Linda C. Baumann, Jonathan Schaffir, Alai Tan, Duane T. Wegener, Linda Denise Oakley, Linda J. Baumann, Jiying Ling and Lorraine B. Robbins and has published in prestigious journals such as Nutrients, Health Psychology and BMC Public Health.

In The Last Decade

Mei‐Wei Chang

38 papers receiving 597 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mei‐Wei Chang United States 14 399 194 170 144 128 40 622
Tracey J. Milani United States 11 555 1.4× 169 0.9× 129 0.8× 142 1.0× 187 1.5× 12 730
Stacy A. Gore United States 7 447 1.1× 197 1.0× 193 1.1× 157 1.1× 230 1.8× 8 907
M. W. Gillman United States 9 594 1.5× 182 0.9× 231 1.4× 87 0.6× 91 0.7× 10 809
Karen Hosper Netherlands 12 249 0.6× 162 0.8× 128 0.8× 75 0.5× 32 0.3× 19 522
Meredith L. Graham United States 18 367 0.9× 304 1.6× 73 0.4× 65 0.5× 185 1.4× 51 735
Amy Borg United States 9 236 0.6× 230 1.2× 134 0.8× 157 1.1× 30 0.2× 18 609
Henry Hanss-Nuss United States 7 386 1.0× 93 0.5× 93 0.5× 93 0.6× 153 1.2× 7 504
S. Kreichauf Greece 9 421 1.1× 187 1.0× 75 0.4× 41 0.3× 33 0.3× 11 568
Jacqueline A. Walcott‐McQuigg United States 11 216 0.5× 166 0.9× 139 0.8× 81 0.6× 31 0.2× 16 445
Nakiya Showell United States 9 654 1.6× 385 2.0× 135 0.8× 113 0.8× 20 0.2× 20 830

Countries citing papers authored by Mei‐Wei Chang

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Wei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Wei 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 Mei‐Wei Chang. The network helps show where Mei‐Wei Chang may publish in the future.

Co-authorship network of co-authors of Mei‐Wei Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Wei Chang. A scholar is included among the top collaborators of Mei‐Wei 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 Mei‐Wei Chang. Mei‐Wei Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Chang, Mei‐Wei, Alai Tan, Joshua M. Smyth, & Duane T. Wegener. (2025). Modifiable risk factors for hypertensive disorders in pregnancy. Critical Public Health. 35(1). 1 indexed citations
3.
Smith, Laureen H., Marliese Dion Nist, Christine A. Fortney, et al.. (2024). Using the life course health development model to address pediatric mental health disparities. Journal of Child and Adolescent Psychiatric Nursing. 37(1). e12452–e12452. 1 indexed citations
4.
Chang, Mei‐Wei, Alai Tan, Duane T. Wegener, & Rebecca E. Lee. (2023). A Pilot Goal-Oriented Episodic Future Thinking Weight Loss Intervention for Low-Income Overweight or Obese Young Mothers. Nutrients. 15(13). 3023–3023. 1 indexed citations
5.
6.
Chang, Mei‐Wei, Chyongchiou J. Lin, Rebecca E. Lee, & Duane T. Wegener. (2022). Factors Associated with Home Food Environment in Low-Income Overweight or Obese Pregnant Women. Nutrients. 14(4). 869–869. 1 indexed citations
7.
Chang, Mei‐Wei, Roger Brown, & Duane T. Wegener. (2021). Perceived stress linking psychosocial factors and depressive symptoms in low-income mothers. BMC Public Health. 21(1). 62–62. 5 indexed citations
8.
Chang, Mei‐Wei, Alai Tan, Jiying Ling, Duane T. Wegener, & Lorraine B. Robbins. (2020). Mediators of intervention effects on dietary fat intake in low-income overweight or obese women with young children. Appetite. 151. 104700–104700. 3 indexed citations
9.
Chang, Mei‐Wei, Jonathan Schaffir, Roger Brown, & Duane T. Wegener. (2019). Mediation by self-efficacy in the relation between social support and dietary intake in low-income postpartum women who were overweight or obese. Appetite. 140. 248–254. 8 indexed citations
10.
Chang, Mei‐Wei, Alai Tan, Jonathan Schaffir, & Duane T. Wegener. (2019). Sleep and weight loss in low-income overweight or obese postpartum women. BMC Obesity. 6(1). 12–12. 6 indexed citations
11.
Chang, Mei‐Wei, Alai Tan, & Jonathan Schaffir. (2019). Relationships between stress, demographics and dietary intake behaviours among low-income pregnant women with overweight or obesity. Public Health Nutrition. 22(6). 1066–1074. 19 indexed citations
12.
Chang, Mei‐Wei, et al.. (2019). Chaos and psychosocial health in low-income overweight or obese women.. Health Psychology. 38(12). 1159–1167. 2 indexed citations
13.
Chang, Mei‐Wei, et al.. (2016). Recruitment challenges and enrollment observations from a community based intervention (Mothers In Motion) for low-income overweight and obese women. Contemporary Clinical Trials Communications. 5. 26–33. 19 indexed citations
14.
Chang, Mei‐Wei, Susan Nitzke, & Roger Brown. (2010). Design and Outcomes of a Mothers In Motion Behavioral Intervention Pilot Study. Journal of Nutrition Education and Behavior. 42(3). S11–S21. 49 indexed citations
15.
Chang, Mei‐Wei, Roger Brown, & Susan Nitzke. (2009). Participant recruitment and retention in a pilot program to prevent weight gain in low-income overweight and obese mothers. BMC Public Health. 9(1). 424–424. 75 indexed citations
16.
Chang, Mei‐Wei, Roger Brown, Linda J. Baumann, & Susan Nitzke. (2008). Self‐efficacy and Dietary Fat Reduction Behaviors in Obese African‐American and White Mothers. Obesity. 16(5). 992–1001. 14 indexed citations
17.
Chang, Mei‐Wei, Roger Brown, & Susan Nitzke. (2008). Scale Development: Factors Affecting Diet, Exercise, and Stress Management (FADESM). BMC Public Health. 8(1). 76–76. 22 indexed citations
18.
Chang, Mei‐Wei, Linda C. Baumann, Susan Nitzke, & Roger Brown. (2005). Predictors of Fat Intake Behavior Differ between Normal-Weight and Obese WIC Mothers. American Journal of Health Promotion. 19(4). 269–277. 19 indexed citations
19.
Chang, Mei‐Wei, Susan Nitzke, Roger Brown, Linda C. Baumann, & Linda Denise Oakley. (2003). Development and Validation of a Self-Efficacy Measure for Fat Intake Behaviors of Low-Income Women. Journal of Nutrition Education and Behavior. 35(6). 302–307. 28 indexed citations
20.
Baumann, Linda C., et al.. (2002). Clinical Outcomes for Low-Income Adults With Hypertension and Diabetes. Nursing Research. 51(3). 191–198. 27 indexed citations

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.

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