Huaxiang Rao
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 3
- Parasitology top 10%
- Vector-borne infectious diseases 5
- Bartonella species infections research 4
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- Viral Infections and Vectors 6
- Tuberculosis Research and Epidemiology 3
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- Respiratory viral infections research 3
- Data-Driven Disease Surveillance 3
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- COVID-19 Pandemic Impacts 2
- Co-authors
- Xinyu ShiJuan YuXi ZhangLixia QiuZhen WeiHuafang WangXuelei ZhangYubei Huang
- Journals
- PLoS ONE (3 papers)The Science of The Total Environment (1 paper)Scientific Reports (5 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Huaxiang Rao
26 papers receiving 314 citations
Peers
Comparison fields: 5 of 90
- Modeling and Simulation 60
- Parasitology 44
- Infectious Diseases 106
- Epidemiology 125
- Small Animals 25
Countries citing papers authored by Huaxiang Rao
This map shows the geographic impact of Huaxiang Rao'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 Huaxiang Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaxiang Rao more than expected).
Fields of papers citing papers by Huaxiang Rao
This network shows the impact of papers produced by Huaxiang Rao. 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 Huaxiang Rao. The network helps show where Huaxiang Rao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huaxiang Rao, 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 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 28 | |
| 12 | 2020 | 9 | |
| 13 | 2018 | 20 | |
| 14 | 2018 | 32 | |
| 15 | 2018 | 10 | |
| 16 | 2017 | 50 | |
| 17 | 2016 | 66 | |
| 18 | Cross-sectional Study on Diabetes Mellitus among Urban and Rural Residents in Shanxi Province | 2009 | 1 |
| 19 | The Epidemiological Survey of Hypertension among Inhabitants in Shanxi Province | 2006 | 1 |
| 20 | Effect of Toxoplasma Infection on the Apoptosis of Sperm in Mice | 2006 | 5 |
About Huaxiang Rao
Huaxiang Rao is a scholar working on Parasitology, Modeling and Simulation and Infectious Diseases, having authored 27 papers that have together received 317 indexed citations. Recurring topics across this work include Viral Infections and Vectors (6 papers), Vector-borne infectious diseases (5 papers), Bartonella species infections research (4 papers), COVID-19 epidemiological studies (3 papers), Tuberculosis Research and Epidemiology (3 papers), Respiratory viral infections research (3 papers), Data-Driven Disease Surveillance (3 papers) and COVID-19 Pandemic Impacts (2 papers). The work is most often cited by research in Modeling and Simulation (60 citations), Parasitology (44 citations) and Infectious Diseases (106 citations). Huaxiang Rao has collaborated with scholars based in China and United States. Frequent co-authors include Xinyu Shi, Juan Yu, Xi Zhang, Lixia Qiu, Zhen Wei, Huafang Wang, Xi Zhang, Xuelei Zhang, Yubei Huang and Hong Dai. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.
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.