Yao Xia
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Gastroenterology top 10%
- Gastrointestinal motility and disorders
Papers in
-
- Viral Infections and Vectors 5
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Jiahai Lu (10 shared papers)Yanshan Zhu (5 shared papers)Wenbiao Hu (4 shared papers)Kangkang Liu (4 shared papers)Qinlong Jing (4 shared papers)Gyu Man Kim (1 shared paper)Hongzhen Hu (1 shared paper)Jiajia Ren (1 shared paper)
- Journals
- Clinical Infectious Diseases (2 papers)Microbiome (2 papers)PLoS neglected tropical diseases (2 papers)One Health (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yao Xia
23 papers receiving 441 citations
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 101
- Gastroenterology 57
- Infectious Diseases 156
- Virology 15
- Agronomy and Crop Science 32
Countries citing papers authored by Yao Xia
This map shows the geographic impact of Yao Xia'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 Yao Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Xia more than expected).
Fields of papers citing papers by Yao Xia
This network shows the impact of papers produced by Yao Xia. 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 Yao Xia. The network helps show where Yao Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 100 | |
| 2 | 2020 | 99 | |
| 3 | 2016 | 59 | |
| 4 | 2016 | 39 | |
| 5 | 2016 | 36 | |
| 6 | 2018 | 18 | |
| 7 | 2015 | 13 | |
| 8 | 2016 | 12 | |
| 9 | 2023 | 9 | |
| 10 | Design and experiments of multi-spectral sensor for rice and wheat growth information. | 2013 | 9 |
| 11 | 2023 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2014 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2023 | 5 | |
| 17 | Research progress in critical nitrogen dilution curve of three main grain crops in China. | 2020 | 4 |
| 18 | 2021 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2016 | 2 |
About Yao Xia
Yao Xia is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Molecular Biology, having authored 24 papers that have together received 449 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Mosquito-borne diseases and control (4 papers), Animal Disease Management and Epidemiology (3 papers), Zoonotic diseases and public health (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Gut microbiota and health (2 papers), Pediatric health and respiratory diseases (2 papers) and Rabies epidemiology and control (2 papers). The work is most often cited by research in Modeling and Simulation (101 citations), Gastroenterology (57 citations), Infectious Diseases (156 citations), Virology (15 citations) and Agronomy and Crop Science (32 citations). Yao Xia has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiahai Lu, Yanshan Zhu, Wenbiao Hu, Kangkang Liu, Qinlong Jing, Gyu Man Kim, Hongzhen Hu, Jiajia Ren, Jackie D. Wood and Owen C. Peck. Their work appears in journals such as Clinical Infectious Diseases, Microbiome, PLoS neglected tropical diseases, One Health 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.