Xin Qi
Impact in
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Obstetrics and Gynecology top 0.5%
- COVID-19 Impact on Reproduction
Papers in ⓘ
- Health 8
- Health disparities and outcomes 6
-
- COVID-19 epidemiological studies 4
- Co-authors
- Shilu Tong (9 shared papers)Zhongyi Jiang (1 shared paper)Yabin Hu (1 shared paper)Yuanyuan Dong (1 shared paper)Fan Jiang (1 shared paper)Xi Mo (1 shared paper)Wenbiao Hu (17 shared papers)Andrew Page (2 shared papers)
- Journals
- International Journal of Environmental Research and Public Health (5 papers)BMC Psychiatry (3 papers)Scientific Reports (2 papers)BMJ Open (2 papers)Environmental Science and Pollution Research (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xin Qi
52 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Infectious Diseases 1.7k
- Obstetrics and Gynecology 723
- Modeling and Simulation 226
- Neurology 417
- Health 203
Countries citing papers authored by Xin Qi
This map shows the geographic impact of Xin Qi'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 Xin Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Qi more than expected).
Fields of papers citing papers by Xin Qi
This network shows the impact of papers produced by Xin Qi. 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 Xin Qi. The network helps show where Xin Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Qi, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Epidemiology of COVID-19 Among Children in China Hit paper breakdown → | 2020 | 2675 |
| 2 | 2012 | 93 | |
| 3 | 2014 | 50 | |
| 4 | 2012 | 45 | |
| 5 | 2009 | 37 | |
| 6 | 2014 | 34 | |
| 7 | 2015 | 27 | |
| 8 | 2010 | 25 | |
| 9 | 2024 | 24 | |
| 10 | 2020 | 21 | |
| 11 | 2006 | 20 | |
| 12 | 2019 | 20 | |
| 13 | 2023 | 17 | |
| 14 | 2014 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2018 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2020 | 11 |
About Xin Qi
Xin Qi is a scholar working on Health, Modeling and Simulation, Health, Toxicology and Mutagenesis, Pollution and Music, having authored 61 papers that have together received 3.3k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (8 papers), Climate Change and Health Impacts (6 papers), Data-Driven Disease Surveillance (6 papers), Health disparities and outcomes (6 papers), Atmospheric chemistry and aerosols (5 papers), Structural Load-Bearing Analysis (4 papers), COVID-19 epidemiological studies (4 papers) and Suicide and Self-Harm Studies (3 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Obstetrics and Gynecology (723 citations), Modeling and Simulation (226 citations), Neurology (417 citations) and Health (203 citations). Xin Qi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shilu Tong, Zhongyi Jiang, Yabin Hu, Yuanyuan Dong, Fan Jiang, Xi Mo, Wenbiao Hu, Andrew Page, Guihua Zhuang and Zhiwei Xu. Their work appears in journals such as International Journal of Environmental Research and Public Health, BMC Psychiatry, Scientific Reports, BMJ Open and Environmental Science and Pollution Research.
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.