Xiling Wang
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- COVID-19 epidemiological studies 10
- Epidemiology 23
- Influenza Virus Research Studies 20
- Respiratory viral infections research 7
- Co-authors
- Xiang Zhang (8 shared papers)Xueying Zheng (5 shared papers)Hongjie Yu (7 shared papers)Yapeng Li (2 shared papers)Yi Zhun Zhu (5 shared papers)Haining Zhen (4 shared papers)Weijun Wu (3 shared papers)Jing Li (4 shared papers)
- Journals
- Scientific Reports (8 papers)International Journal of Infectious Diseases (4 papers)PLoS ONE (4 papers)Emerging infectious diseases (3 papers)Cancer (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiling Wang
73 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 135
- Modeling and Simulation 507
- Epidemiology 850
- Infectious Diseases 479
- Agronomy and Crop Science 172
- Biochemistry 83
Countries citing papers authored by Xiling Wang
This map shows the geographic impact of Xiling Wang'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 Xiling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiling Wang more than expected).
Fields of papers citing papers by Xiling Wang
This network shows the impact of papers produced by Xiling Wang. 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 Xiling Wang. The network helps show where Xiling Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiling Wang, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 439 | |
| 2 | 2017 | 247 | |
| 3 | 2019 | 200 | |
| 4 | 2015 | 78 | |
| 5 | 2005 | 77 | |
| 6 | 1999 | 68 | |
| 7 | 2019 | 59 | |
| 8 | 2018 | 57 | |
| 9 | 2019 | 53 | |
| 10 | 2018 | 52 | |
| 11 | 2020 | 52 | |
| 12 | 2005 | 46 | |
| 13 | 2017 | 44 | |
| 14 | 2021 | 40 | |
| 15 | 2017 | 39 | |
| 16 | 2017 | 37 | |
| 17 | 2018 | 36 | |
| 18 | 2018 | 33 | |
| 19 | 2006 | 33 | |
| 20 | 2015 | 30 |
About Xiling Wang
Xiling Wang is a scholar working on Modeling and Simulation, Epidemiology, Agronomy and Crop Science, Health, Toxicology and Mutagenesis and Oncology, having authored 74 papers that have together received 2.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (20 papers), COVID-19 epidemiological studies (10 papers), Climate Change and Health Impacts (7 papers), Respiratory viral infections research (7 papers), Animal Disease Management and Epidemiology (7 papers), Air Quality and Health Impacts (4 papers), Natural product bioactivities and synthesis (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Modeling and Simulation (507 citations), Epidemiology (850 citations), Infectious Diseases (479 citations), Agronomy and Crop Science (172 citations) and Biochemistry (83 citations). Xiling Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiang Zhang, Xueying Zheng, Hongjie Yu, Yapeng Li, Yi Zhun Zhu, Haining Zhen, Weijun Wu, Jing Li, Guoyou Qin and Juanjuan Zhang. Their work appears in journals such as Scientific Reports, International Journal of Infectious Diseases, PLoS ONE, Emerging infectious diseases and Cancer.
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.