Xiaoning Hao

628 total citations
14 papers, 265 citations indexed

About

Xiaoning Hao is a scholar working on Health, General Health Professions and Epidemiology. According to data from OpenAlex, Xiaoning Hao has authored 14 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, 4 papers in General Health Professions and 4 papers in Epidemiology. Recurrent topics in Xiaoning Hao's work include Health disparities and outcomes (5 papers), Global Health Care Issues (3 papers) and Intergenerational Family Dynamics and Caregiving (3 papers). Xiaoning Hao is often cited by papers focused on Health disparities and outcomes (5 papers), Global Health Care Issues (3 papers) and Intergenerational Family Dynamics and Caregiving (3 papers). Xiaoning Hao collaborates with scholars based in China, United States and United Kingdom. Xiaoning Hao's co-authors include Zhenzhong Zhang, Ran Zhang, Suizan Zhou, Bo Yi, Ying Song, Tao Zhang, Liling Chen, Carolyn M. Greene, Tumaini Nyamhanga and Bo Tao and has published in prestigious journals such as The Lancet, Vaccine and BMJ Open.

In The Last Decade

Xiaoning Hao

13 papers receiving 258 citations

Peers

Xiaoning Hao
Neema Mosha Tanzania
Abigail Baim‐Lance United States
Anthony E. Brown United States
Fariha Haseen Bangladesh
Shubash Shander Ganapathy Malaysia
Mengyun Zheng China
Mariam Abdulmalik Qatar
Matthias Wetzstein Germany
Holly E. Jacobson United States
Miguel Fuentealba-Torres Brazil
Neema Mosha Tanzania
Xiaoning Hao
Citations per year, relative to Xiaoning Hao Xiaoning Hao (= 1×) peers Neema Mosha

Countries citing papers authored by Xiaoning Hao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoning Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoning Hao. A scholar is included among the top collaborators of Xiaoning Hao 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 Xiaoning Hao. Xiaoning Hao 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.
Song, Chunyan, Xiaoning Hao, Elena Critselis, & Demosthenes B. Panagiotakos. (2025). The impact of electronic cigarette use on chronic obstructive pulmonary disease: A systematic review and meta-analysis. Respiratory Medicine. 239. 107985–107985. 5 indexed citations
2.
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Feng, Zhiqiang, Qi Chen, Yanjing Li, Zhen Xue, & Xiaoning Hao. (2023). The association between falls and depressive symptoms among older adults: evidence from the China Health and Retirement Longitudinal Study. Frontiers in Public Health. 11. 1248551–1248551. 7 indexed citations
4.
Su, Zhaohui, Kylie Meyer, Yue Li, et al.. (2021). Technology-based interventions for nursing home residents: a systematic review protocol. BMJ Open. 11(12). e056142–e056142. 3 indexed citations
5.
Su, Zhaohui, Bin Liang, Feng Shi, et al.. (2021). Deep learning-based facial image analysis in medical research: a systematic review protocol. BMJ Open. 11(11). e047549–e047549. 12 indexed citations
6.
Su, Zhaohui, Dean McDonnell, Ali Cheshmehzangi, et al.. (2021). With Great Hopes Come Great Expectations: Access and Adoption Issues Associated With COVID-19 Vaccines. JMIR Public Health and Surveillance. 7(8). e26111–e26111. 22 indexed citations
7.
Morgan, Rosemary, Richard Mangwi Ayiasi, Stephen Buzuzi, et al.. (2018). Gendered health systems: evidence from low- and middle-income countries. Health Research Policy and Systems. 16(1). 58–58. 77 indexed citations
8.
Inoue, Yosuke, Aki Yazawa, Xiaoning Hao, et al.. (2018). Social participation and the onset of hypertension among the middle‐aged and older population: Evidence from the China Health and Retirement Longitudinal Study. Geriatrics and gerontology international. 18(7). 1093–1099. 23 indexed citations
9.
Hao, Xiaoning, et al.. (2017). Social support and care needs of the disabled elderly population: An empirical study based on survey data from Beijing, China. BioScience Trends. 11(5). 507–515. 19 indexed citations
10.
Song, Ying, Tao Zhang, Liling Chen, et al.. (2017). Increasing seasonal influenza vaccination among high risk groups in China: Do community healthcare workers have a role to play?. Vaccine. 35(33). 4060–4063. 62 indexed citations
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Liu, Shijun, et al.. (2013). S-BM: A benchmark suite for multi-tenant supplier relationship management service. 692–697. 2 indexed citations
14.
Gou, Zhonghua, et al.. (1990). Ten-year report on the community control of hypertension and stroke in a rural district of Shijiazhuang, China. Health Policy. 14(2). 153–153. 1 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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