Li Xing
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in ⓘ
- Epidemiology 35
- Influenza Virus Research Studies 20
- Respiratory viral infections research 17
- Co-authors
- Robert C. Glen (2 shared papers)Xuekui Zhang (19 shared papers)Xiliang Wang (21 shared papers)Ruijin Ma (1 shared paper)Kaichang Di (1 shared paper)Penghui Yang (18 shared papers)Don D. Sin (6 shared papers)Yueqiang Duan (13 shared papers)
- Journals
- PLoS ONE (5 papers)Scientific Reports (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Multimedia Tools and Applications (2 papers)Vaccine (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Li Xing
109 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 177
- Infectious Diseases 399
- Epidemiology 442
- Immunology 251
- Cancer Research 160
- Computational Theory and Mathematics 143
Countries citing papers authored by Li Xing
This map shows the geographic impact of Li Xing'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 Li Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Xing more than expected).
Fields of papers citing papers by Li Xing
This network shows the impact of papers produced by Li Xing. 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 Li Xing. The network helps show where Li Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Xing, 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 182 | |
| 2 | 2002 | 136 | |
| 3 | 2014 | 129 | |
| 4 | 2010 | 113 | |
| 5 | 2003 | 99 | |
| 6 | 2012 | 89 | |
| 7 | 2022 | 75 | |
| 8 | 2009 | 69 | |
| 9 | 2003 | 54 | |
| 10 | 2008 | 48 | |
| 11 | 2020 | 47 | |
| 12 | 2013 | 46 | |
| 13 | 2014 | 46 | |
| 14 | 2013 | 42 | |
| 15 | 2003 | 42 | |
| 16 | 2016 | 40 | |
| 17 | 2013 | 35 | |
| 18 | 2020 | 34 | |
| 19 | 2021 | 31 | |
| 20 | 2012 | 31 |
About Li Xing
Li Xing is a scholar working on Epidemiology, Molecular Biology, Immunology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 121 papers that have together received 2.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (20 papers), Respiratory viral infections research (17 papers), Immune Response and Inflammation (11 papers), Viral gastroenteritis research and epidemiology (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Financial Markets and Investment Strategies (5 papers), Neonatal Respiratory Health Research (5 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Infectious Diseases (399 citations), Epidemiology (442 citations), Immunology (251 citations), Cancer Research (160 citations) and Computational Theory and Mathematics (143 citations). Li Xing has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Robert C. Glen, Xuekui Zhang, Xiliang Wang, Ruijin Ma, Kaichang Di, Penghui Yang, Don D. Sin, Yueqiang Duan, Zhongpeng Zhao and Shaogeng Zhang. Their work appears in journals such as PLoS ONE, Scientific Reports, International Journal of Radiation Oncology*Biology*Physics, Multimedia Tools and Applications 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.