Jenna Hua
About
Jenna Hua is a scholar working on Health, Toxicology and Mutagenesis, General Health Professions and Public Health, Environmental and Occupational Health.
According to data from OpenAlex, Jenna Hua has authored 20 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health, Toxicology and Mutagenesis, 7 papers in General Health Professions and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jenna Hua's work include Mobile Health and mHealth Applications (6 papers), Urban Green Space and Health (5 papers) and Obesity, Physical Activity, Diet (5 papers). Jenna Hua is often cited by papers focused on Mobile Health and mHealth Applications (6 papers), Urban Green Space and Health (5 papers) and Obesity, Physical Activity, Diet (5 papers). Jenna Hua collaborates with scholars based in United States, China and Canada. Jenna Hua's co-authors include Edmund Seto, Shuhao Lin, Abby C. King, Giannina Ferrara, Sandra J. Winter, Ann Banchoff, Benjamin W. Chrisinger, Hamed Nilforoshan, Jure Leskovec and Tim Althoff and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Infectious Diseases.
In The Last Decade
Jenna Hua
19 papers receiving 552 citations
Peers
Jenna Hua
Claire Thompson United Kingdom
Ana Paula Belon Canada
Jasmin Bhawra Canada
Ann Banchoff United States
Carolina Pérez‐Ferrer Mexico
Karl Parker New Zealand
Sharrelle Barber United States
Martine Shareck Canada
Madhumita Ghosh‐Dastidar United States
Simone M. Santos Brazil
Citations per year, relative to Jenna Hua Jenna Hua (= 1×)
peers
Claire Thompson
Countries citing papers authored by Jenna Hua
Since
Specialization
Citations
This map shows the geographic impact of Jenna Hua'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 Jenna Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenna Hua more than expected).
Fields of papers citing papers by Jenna Hua
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Jenna Hua. 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 Jenna Hua. The network helps show where Jenna Hua may publish in the future.
Co-authorship network of co-authors of Jenna Hua
This figure shows the co-authorship network connecting the top 25 collaborators of Jenna Hua. A scholar is included among the top collaborators of Jenna Hua 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 Jenna Hua. Jenna Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Kwiatkowski, Carol F., Johanna R. Rochester, Iva Neveux, et al.. (2025). Associations Between Daily-Use Products and Urinary Biomarkers of Endocrine-Disrupting Chemicals in Adults of Reproductive Age. International Journal of Environmental Research and Public Health. 22(1). 99–99.
2.
Rochester, Johanna R., Carol F. Kwiatkowski, Iva Neveux, et al.. (2024). A Personalized Intervention to Increase Environmental Health Literacy and Readiness to Change in a Northern Nevada Population: Effects of Environmental Chemical Exposure Report-Back. International Journal of Environmental Research and Public Health. 21(7). 905–905.
3.
Rochester, Johanna R., Carol F. Kwiatkowski, Iva Neveux, et al.. (2024). Reducing Exposures to Endocrine Disruptors (REED) study, a personalized at-home intervention program to reduce exposure to endocrine disrupting chemicals among a child-bearing age cohort: study protocol for a randomized controlled trial. Trials. 25(1). 793–793.
4.
Hartnett, M. J., et al.. (2023). Rapid Screening of Consumer Products by GCxGC-HRT and Machine Learning Assisted Data Processing. Journal of the American Society for Mass Spectrometry. 34(8). 1653–1662.
5.
Althoff, Tim, Hamed Nilforoshan, Jenna Hua, & Jure Leskovec. (2022). Large-scale diet tracking data reveal disparate associations between food environment and diet. Nature Communications. 13(1). 267–267.
6.
King, Abby C., Ann Banchoff, Jylana L. Sheats, et al.. (2021). Testing the effectiveness of community-engaged citizen science to promote physical activity, foster healthier neighborhood environments, and advance health equity in vulnerable communities: The Steps for Change randomized controlled trial design and methods. Contemporary Clinical Trials. 108. 106526–106526.
7.
King, Abby C., Diane K. King, Ann Banchoff, et al.. (2020). Employing Participatory Citizen Science Methods to Promote Age-Friendly Environments Worldwide. International Journal of Environmental Research and Public Health. 17(5). 1541–1541.
8.
Hua, Jenna, Andrea S. Mendoza-Vasconez, Benjamin W. Chrisinger, et al.. (2020). Associations of social cohesion and quality of life with objective and perceived built environments: a latent profile analysis among seniors. Journal of Public Health. 44(1). 138–147.
9.
Seto, Edmund, et al.. (2020). Prediction of Personal Cardiovascular Risk using Machine Learning for Smartphone Applications. 1–6.
10.
Ferrara, Giannina, et al.. (2019). A Focused Review of Smartphone Diet-Tracking Apps: Usability, Functionality, Coherence With Behavior Change Theory, and Comparative Validity of Nutrient Intake and Energy Estimates. JMIR mhealth and uhealth. 7(5). e9232–e9232.
11.
Rodriguez, Nicole M., et al.. (2019). Enhancing safe routes to school programs through community-engaged citizen science: two pilot investigations in lower density areas of Santa Clara County, California, USA. BMC Public Health. 19(1). 256–256.
12.
Chrisinger, Benjamin W., Abby C. King, Jenna Hua, et al.. (2019). How Well Do Seniors Estimate Distance to Food? The Accuracy of Older Adults’ Reported Proximity to Local Grocery Stores. Geriatrics. 4(1). 11–11.
13.
King, Abby C., Sandra J. Winter, Benjamin W. Chrisinger, Jenna Hua, & Ann Banchoff. (2018). Maximizing the promise of citizen science to advance health and prevent disease. Preventive Medicine. 119. 44–47.
14.
Liao, Noelle S., Edmund Seto, Brenda Eskenazi, et al.. (2018). A Comprehensive Review of Arsenic Exposure and Risk from Rice and a Risk Assessment among a Cohort of Adolescents in Kunming, China. International Journal of Environmental Research and Public Health. 15(10). 2191–2191.
15.
Seto, Edmund, et al.. (2016). Models of Individual Dietary Behavior Based on Smartphone Data: The Influence of Routine, Physical Activity, Emotion, and Food Environment. PLoS ONE. 11(4). e0153085–e0153085.
16.
Zang, Jiajie, Jun Song, Zhengyuan Wang, et al.. (2015). Acceptability and feasibility of smartphone-assisted 24 h recalls in the Chinese population. Public Health Nutrition. 18(18). 3272–3277.
17.
Hua, Jenna, Edmund Seto, Yan Li, & May C Wang. (2014). Development and evaluation of a food environment survey in three urban environments of Kunming, China. BMC Public Health. 14(1). 235–235.
18.
Smith, Lindsey P., Jenna Hua, Edmund Seto, et al.. (2014). Development and validity of a 3-day smartphone assisted 24-hour recall to assess beverage consumption in a Chinese population: a randomized cross-over study.. PubMed. 23(4). 678–90.
19.
Seto, Edmund, Jenna Hua, Victor Shia, et al.. (2014). The Kunming CalFit study: Modeling dietary behavioral patterns using smartphone data. PubMed. 37. 6884–6887.
20.
Miller, Loren G., Carol E. Golin, Honghu Liu, et al.. (2004). No Evidence of an Association between Transient HIV Viremia (“Blips”) and Lower Adherence to the Antiretroviral Medication Regimen. The Journal of Infectious Diseases. 189(8). 1487–1496.
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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