Rugang Liu
- Health top 2%
- Vaccine Coverage and Hesitancy 8
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 4
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 3
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- COVID-19 Impact on Reproduction 3
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- ECG Monitoring and Analysis 4
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- Cardiac Arrest and Resuscitation 3
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- Experimental Behavioral Economics Studies 2
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- COVID-19 Pandemic Impacts 2
- Co-authors
- Stephen NicholasElizabeth MaitlandAnli LengJian WangSiyuan WangHongyu ZhaoQingzhen HouLu Li
- Journals
- Vaccines (4 papers)Human Vaccines & Immunotherapeutics (2 papers)International Health (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Rugang Liu
21 papers receiving 384 citations
Peers
Comparison fields: 5 of 83
- Health 271
- Modeling and Simulation 113
- Infectious Diseases 165
- Obstetrics and Gynecology 33
- Cognitive Neuroscience 46
Countries citing papers authored by Rugang Liu
This map shows the geographic impact of Rugang Liu'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 Rugang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rugang Liu more than expected).
Fields of papers citing papers by Rugang Liu
This network shows the impact of papers produced by Rugang Liu. 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 Rugang Liu. The network helps show where Rugang Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rugang Liu, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 15 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 53 | |
| 15 | 2021 | 57 | |
| 16 | 2021 | 10 | |
| 17 | 2020 | 132 | |
| 18 | 2020 | 7 | |
| 19 | 2016 | 29 | |
| 20 | [Present situation and influencing factors of discrimination against hepatitis B patients and carriers among rural adults in three eastern provinces in China]. | 2015 | 4 |
About Rugang Liu
Rugang Liu is a scholar working on Health, Modeling and Simulation and Obstetrics and Gynecology, having authored 24 papers that have together received 393 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), ECG Monitoring and Analysis (4 papers), COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Cardiac Arrest and Resuscitation (3 papers), COVID-19 Impact on Reproduction (3 papers), Experimental Behavioral Economics Studies (2 papers) and COVID-19 Pandemic Impacts (2 papers). The work is most often cited by research in Health (271 citations), Modeling and Simulation (113 citations) and Infectious Diseases (165 citations). Rugang Liu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Stephen Nicholas, Elizabeth Maitland, Anli Leng, Jian Wang, Jian Wang, Siyuan Wang, Hongyu Zhao, Qingzhen Hou, Lu Li and Knut Reidar Wangen. Their work appears in journals such as Vaccines, Human Vaccines & Immunotherapeutics, International Health, BMJ Open and Vaccine.
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.