Jun Cai
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Health, Toxicology and Mutagenesis top 0.5%
- Air Quality and Health Impacts
Papers in
-
- COVID-19 epidemiological studies 15
- Co-authors
- Bing Xu (16 shared papers)Jian-Su Shao (3 shared papers)Dwight A. Towler (3 shared papers)Бин Чэн (3 shared papers)Ziyue Chen (9 shared papers)Bingbo Gao (8 shared papers)Bin He (6 shared papers)Bo Xu (6 shared papers)
- Journals
- Psychopharmacology (3 papers)Scientific Reports (3 papers)PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (2 papers)Plant Biotechnology Journal (2 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Jun Cai
110 papers receiving 5.2k citations
Jun Cai's Hit Papers
Peers
Comparison fields: 5 of 187
- Modeling and Simulation 1.0k
- Health, Toxicology and Mutagenesis 1.1k
- Environmental Engineering 724
- Biological Psychiatry 108
- Atmospheric Science 758
Countries citing papers authored by Jun Cai
This map shows the geographic impact of Jun Cai'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 Jun Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cai more than expected).
Fields of papers citing papers by Jun Cai
This network shows the impact of papers produced by Jun Cai. 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 Jun Cai. The network helps show where Jun Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Cai, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China Hit paper breakdown → | 2020 | 1363 |
| 2 | Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism Hit paper breakdown → | 2020 | 502 |
| 3 | 2006 | 290 | |
| 4 | 2018 | 206 | |
| 5 | Hypofrontality and negative symptoms in major depressive disorder. | 1998 | 199 |
| 6 | Modeling transmission of SARS-CoV-2 Omicron in China Hit paper breakdown → | 2022 | 180 |
| 7 | 2017 | 143 | |
| 8 | 2007 | 114 | |
| 9 | 2014 | 102 | |
| 10 | 2006 | 97 | |
| 11 | 2009 | 83 | |
| 12 | 2009 | 82 | |
| 13 | 2016 | 81 | |
| 14 | 2017 | 70 | |
| 15 | 2021 | 68 | |
| 16 | 2018 | 61 | |
| 17 | 2020 | 61 | |
| 18 | 2021 | 59 | |
| 19 | 2020 | 59 | |
| 20 | 2013 | 55 |
About Jun Cai
Jun Cai is a scholar working on Molecular Biology, Modeling and Simulation, Infectious Diseases, Atmospheric Science and Epidemiology, having authored 116 papers that have together received 5.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (15 papers), Atmospheric chemistry and aerosols (11 papers), Air Quality and Health Impacts (9 papers), Influenza Virus Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Air Quality Monitoring and Forecasting (6 papers), Computational Drug Discovery Methods (5 papers) and Genetics and Neurodevelopmental Disorders (5 papers). The work is most often cited by research in Modeling and Simulation (1.0k citations), Health, Toxicology and Mutagenesis (1.1k citations), Environmental Engineering (724 citations), Biological Psychiatry (108 citations) and Atmospheric Science (758 citations). Jun Cai has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Bing Xu, Jian-Su Shao, Dwight A. Towler, Бин Чэн, Ziyue Chen, Bingbo Gao, Bin He, Bo Xu, Danlu Chen and Huaiyu Tian. Their work appears in journals such as Psychopharmacology, Scientific Reports, PLoS ONE, Proceedings of the National Academy of Sciences and Plant Biotechnology Journal.
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.