Xiling Wang
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Epidemiology 24
- Influenza Virus Research Studies 22
- Respiratory viral infections research 10
-
- COVID-19 epidemiological studies 19
- Co-authors
- Xiang Zhang (8 shared papers)Xueying Zheng (5 shared papers)Hongjie Yu (7 shared papers)Yi Zhun Zhu (5 shared papers)Yapeng Li (2 shared papers)Haining Zhen (4 shared papers)Weijun Wu (3 shared papers)Guoyou Qin (5 shared papers)
- Journals
- Scientific Reports (8 papers)PLoS ONE (4 papers)International Journal of Infectious Diseases (4 papers)Cancer (3 papers)Cellular Physiology and Biochemistry (2 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Xiling Wang
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 125
- Modeling and Simulation 207
- Epidemiology 413
- Biochemistry 78
- Infectious Diseases 192
- Health, Toxicology and Mutagenesis 112
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 75 | |
| 2 | 2015 | 72 | |
| 3 | 1999 | 57 | |
| 4 | 2018 | 51 | |
| 5 | 2018 | 49 | |
| 6 | 2019 | 46 | |
| 7 | 2005 | 44 | |
| 8 | 2017 | 41 | |
| 9 | 2021 | 35 | |
| 10 | 2017 | 34 | |
| 11 | 2018 | 33 | |
| 12 | 2006 | 32 | |
| 13 | 2006 | 29 | |
| 14 | 2015 | 28 | |
| 15 | 2018 | 27 | |
| 16 | 2018 | 26 | |
| 17 | 2017 | 25 | |
| 18 | 2006 | 24 | |
| 19 | 2016 | 24 | |
| 20 | 2016 | 24 |
About Xiling Wang
Xiling Wang is a scholar working on Epidemiology, Modeling and Simulation, Molecular Biology, Infectious Diseases and Oncology, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (22 papers), COVID-19 epidemiological studies (19 papers), Respiratory viral infections research (10 papers), Climate Change and Health Impacts (8 papers), Viral Infections and Vectors (7 papers), Animal Disease Management and Epidemiology (7 papers), Air Quality and Health Impacts (4 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Modeling and Simulation (207 citations), Epidemiology (413 citations), Biochemistry (78 citations), Infectious Diseases (192 citations) and Health, Toxicology and Mutagenesis (112 citations). Xiling Wang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Xiang Zhang, Xueying Zheng, Hongjie Yu, Yi Zhun Zhu, Yapeng Li, Haining Zhen, Weijun Wu, Guoyou Qin, Jing Li and Juanjuan Zhang. Their work appears in journals such as Scientific Reports, PLoS ONE, International Journal of Infectious Diseases, Cancer and Cellular Physiology and Biochemistry.
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.