Yining Bao

400 total citations
14 papers, 216 citations indexed

About

Yining Bao is a scholar working on Epidemiology, Infectious Diseases and General Health Professions. According to data from OpenAlex, Yining Bao has authored 14 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 4 papers in Infectious Diseases and 2 papers in General Health Professions. Recurrent topics in Yining Bao's work include HIV, Drug Use, Sexual Risk (5 papers), HIV/AIDS Research and Interventions (4 papers) and Chronic Disease Management Strategies (3 papers). Yining Bao is often cited by papers focused on HIV, Drug Use, Sexual Risk (5 papers), HIV/AIDS Research and Interventions (4 papers) and Chronic Disease Management Strategies (3 papers). Yining Bao collaborates with scholars based in China, Australia and United States. Yining Bao's co-authors include Lei Zhang, Xun Zhuang, Christopher K. Fairley, Jinrong Wu, Xianglong Xu, Eric P. F. Chow, Zongyuan Ge, Xianwen Shang, Nicholas Medland and Yun Zhang and has published in prestigious journals such as Journal of Cleaner Production, Journal of Medical Internet Research and Medicine.

In The Last Decade

Yining Bao

12 papers receiving 214 citations

Peers

Yining Bao
Yining Bao
Citations per year, relative to Yining Bao Yining Bao (= 1×) peers Michael K. Odutola

Countries citing papers authored by Yining Bao

Since Specialization
Citations

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

Fields of papers citing papers by Yining Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yining Bao. 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 Yining Bao. The network helps show where Yining Bao may publish in the future.

Co-authorship network of co-authors of Yining Bao

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

All Works

14 of 14 papers shown
1.
Bao, Yining, Fang Lü, Terence J. O’Brien, et al.. (2025). Exploring population and sex‐specific disease trajectories for multimorbidities among individuals with overweight or obesity: A retrospective cohort study in UK biobank. Diabetes Obesity and Metabolism. 27(9). 5235–5246.
2.
Shao, Shuai, et al.. (2024). Carbon emission scenarios of China's construction industry using a system dynamics methodology – Based on life cycle thinking. Journal of Cleaner Production. 435. 140457–140457. 31 indexed citations
4.
Zhang, Xueli, Zhuoting Zhu, Yu Huang, et al.. (2024). Shared genetic aetiology of Alzheimer’s disease and age-related macular degeneration by APOC1 and APOE genes. BMJ Neurology Open. 6(1). e000570–e000570. 6 indexed citations
5.
Zhang, Liying, Ruiying Li, Ning Kang, et al.. (2023). An environment-wide association study for the identification of non-invasive factors for type 2 diabetes mellitus: Analysis based on the Henan Rural Cohort study. Diabetes Research and Clinical Practice. 204. 110917–110917.
6.
Pan, Mingming, Yaling He, Xiaokang Dong, et al.. (2023). Disease Burden and the Accumulation of Multimorbidity of Noncommunicable Diseases in a Rural Population in Henan, China: Cross-sectional Study. JMIR Public Health and Surveillance. 9. e43381–e43381. 3 indexed citations
7.
Bao, Yining, Xueli Zhang, Shu Su, et al.. (2023). Exploring multimorbidity profiles in middle-aged inpatients: a network-based comparative study of China and the United Kingdom. BMC Medicine. 21(1). 495–495. 11 indexed citations
8.
Huang, Hao, Min Li, Yining Bao, et al.. (2023). An Observational Study on HIV and Syphilis Rates and Associated RiskFactors among Elderly Men in Wuxi, China. Current HIV Research. 21(1). 56–62. 3 indexed citations
9.
Xu, Xianglong, Zhen Yu, Zongyuan Ge, et al.. (2022). Web-Based Risk Prediction Tool for an Individual's Risk of HIV and Sexually Transmitted Infections Using Machine Learning Algorithms: Development and External Validation Study. Journal of Medical Internet Research. 24(8). e37850–e37850. 33 indexed citations
10.
Zhang, Lei, Yining Bao, Moeen Riaz, et al.. (2020). Population Genomic Screening of All Young Adults in a Health-Care System: A Cost-Effectiveness Analysis. Obstetrical & Gynecological Survey. 75(2). 91–93. 3 indexed citations
11.
Bao, Yining, Nicholas Medland, Christopher K. Fairley, et al.. (2020). Predicting the diagnosis of HIV and sexually transmitted infections among men who have sex with men using machine learning approaches. Journal of Infection. 82(1). 48–59. 55 indexed citations
12.
Bao, Yining, Nicholas Medland, Christopher K. Fairley, et al.. (2020). Predicting the Diagnosis of HIV and Sexually Transmitted Infections Among Men Who Have Sex with Men Using Different Machine Learning Approaches. SSRN Electronic Journal. 1 indexed citations
13.
Zhang, Lei, Yining Bao, Moeen Riaz, et al.. (2019). Population genomic screening of all young adults in a health-care system: a cost-effectiveness analysis. Genetics in Medicine. 21(9). 1958–1968. 54 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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