Xin Qi
Impact in
- Obstetrics and Gynecology top 1%
- COVID-19 Impact on Reproduction
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Air Quality and Health Impacts 7
- Climate Change and Health Impacts 4
-
- Suicide and Self-Harm Studies 6
- Co-authors
- Shilu Tong (10 shared papers)Xi Mo (1 shared paper)Zhongyi Jiang (1 shared paper)Yuanyuan Dong (1 shared paper)Yabin Hu (1 shared paper)Fan Jiang (1 shared paper)Wenbiao Hu (18 shared papers)Andrew Page (3 shared papers)
- Journals
- International Journal of Environmental Research and Public Health (5 papers)BMC Psychiatry (3 papers)BMJ Open (2 papers)Scientific Reports (2 papers)Environmental Science and Pollution Research (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xin Qi
54 papers receiving 3.3k citations
Xin Qi's Hit Papers
Peers
Comparison fields: 5 of 156
- Obstetrics and Gynecology 538
- Infectious Diseases 1.3k
- Modeling and Simulation 178
- Neurology 309
- Critical Care and Intensive Care Medicine 87
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 65 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 | 2720 |
| 2 | 2012 | 111 | |
| 3 | 2014 | 51 | |
| 4 | 2012 | 46 | |
| 5 | 2009 | 38 | |
| 6 | 2014 | 34 | |
| 7 | 2024 | 29 | |
| 8 | 2010 | 27 | |
| 9 | 2015 | 27 | |
| 10 | 2006 | 23 | |
| 11 | 2020 | 22 | |
| 12 | 2019 | 21 | |
| 13 | 2023 | 18 | |
| 14 | 2014 | 16 | |
| 15 | 2019 | 16 | |
| 16 | 2025 | 16 | |
| 17 | 2018 | 15 | |
| 18 | 2018 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2020 | 13 |
About Xin Qi
Xin Qi is a scholar working on Health, Toxicology and Mutagenesis, Clinical Psychology, Surgery, Civil and Structural Engineering and Atmospheric Science, having authored 65 papers that have together received 3.4k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (7 papers), Suicide and Self-Harm Studies (6 papers), Atmospheric chemistry and aerosols (5 papers), COVID-19 epidemiological studies (4 papers), Structural Load-Bearing Analysis (4 papers), Climate Change and Health Impacts (4 papers), Zoonotic diseases and public health (3 papers) and Data-Driven Disease Surveillance (3 papers). The work is most often cited by research in Obstetrics and Gynecology (538 citations), Infectious Diseases (1.3k citations), Modeling and Simulation (178 citations), Neurology (309 citations) and Critical Care and Intensive Care Medicine (87 citations). Xin Qi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shilu Tong, Xi Mo, Zhongyi Jiang, Yuanyuan Dong, Yabin Hu, Fan Jiang, Wenbiao Hu, Andrew Page, Guihua Zhuang and Weiwei Yu. Their work appears in journals such as International Journal of Environmental Research and Public Health, BMC Psychiatry, BMJ Open, Scientific Reports 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.