Xiaoning Hao
Impact in
- Health top 10%
- Vaccine Coverage and Hesitancy
- Health disparities and outcomes
-
- COVID-19 epidemiological studies
Papers in
- Health 4
- Vaccine Coverage and Hesitancy 2
- Health disparities and outcomes 2
-
- Intergenerational Family Dynamics and Caregiving 2
- Co-authors
- Zhenzhong Zhang (1 shared paper)Ran Zhang (1 shared paper)Ying Song (1 shared paper)Carolyn M. Greene (1 shared paper)Tao Zhang (1 shared paper)Liling Chen (1 shared paper)Bo Yi (1 shared paper)Suizan Zhou (1 shared paper)
- Journals
- BMJ Open (2 papers)Health Research Policy and Systems (1 paper)Frontiers in Public Health (1 paper)JMIR Public Health and Surveillance (1 paper)The Lancet (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoning Hao
13 papers receiving 283 citations
Peers
Comparison fields: 5 of 75
- Health 67
- Modeling and Simulation 10
- Epidemiology 62
- General Health Professions 37
- Pediatrics, Perinatology and Child Health 27
Countries citing papers authored by Xiaoning Hao
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
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-authors
The 25 scholars most cited alongside Xiaoning Hao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 87 | |
| 2 | 2017 | 64 | |
| 3 | 2016 | 31 | |
| 4 | 2021 | 24 | |
| 5 | 2018 | 24 | |
| 6 | 2017 | 20 | |
| 7 | 2021 | 13 | |
| 8 | 2023 | 11 | |
| 9 | 2025 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2015 | 2 | |
| 12 | 2013 | 2 | |
| 13 | 1990 | 1 | |
| 14 | 2025 | 0 |
About Xiaoning Hao
Xiaoning Hao is a scholar working on Health, Sociology and Political Science, Epidemiology, Infectious Diseases and Computer Networks and Communications, having authored 14 papers that have together received 292 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (2 papers), Health disparities and outcomes (2 papers), Influenza Virus Research Studies (2 papers), Intergenerational Family Dynamics and Caregiving (2 papers), Software System Performance and Reliability (1 paper), Balance, Gait, and Falls Prevention (1 paper), Service-Oriented Architecture and Web Services (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Health (67 citations), Modeling and Simulation (10 citations), Epidemiology (62 citations), General Health Professions (37 citations) and Pediatrics, Perinatology and Child Health (27 citations). Xiaoning Hao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhenzhong Zhang, Ran Zhang, Ying Song, Carolyn M. Greene, Tao Zhang, Liling Chen, Bo Yi, Suizan Zhou, Zhaohui Su and Sabina Šegalo. Their work appears in journals such as BMJ Open, Health Research Policy and Systems, Frontiers in Public Health, JMIR Public Health and Surveillance and The Lancet.
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.