Jian‐Piao Cai
- Infectious Diseases top 0.1%
- SARS-CoV-2 and COVID-19 Research 42
- Viral gastroenteritis research and epidemiology 32
- COVID-19 Clinical Research Studies 22
- Viral Infections and Vectors 19
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies 16
- Modeling and Simulation top 1%
- Neurology top 2%
- Hepatology top 2%
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- Respiratory viral infections research 23
- Influenza Virus Research Studies 14
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- Mosquito-borne diseases and control 13
- Co-authors
- Kwok‐Yung YuenJasper Fuk‐Woo ChanHin ChuKelvin Kai‐Wang ToKwok‐Hung ChanJinxia ZhangJie ZhouHonglin Chen
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (1 paper)Nature Medicine (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jian‐Piao Cai
141 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Infectious Diseases 4.3k
- Animal Science and Zoology 779
- Modeling and Simulation 317
- Neurology 687
- Hepatology 329
Countries citing papers authored by Jian‐Piao Cai
This map shows the geographic impact of Jian‐Piao 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 Jian‐Piao Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian‐Piao Cai more than expected).
Fields of papers citing papers by Jian‐Piao Cai
This network shows the impact of papers produced by Jian‐Piao 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 Jian‐Piao Cai. The network helps show where Jian‐Piao Cai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jian‐Piao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 9 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 12 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 44 | |
| 9 | 2020 | 380 | |
| 10 | 2020 | 41 | |
| 11 | 2020 | 46 | |
| 12 | 2020 | 401 | |
| 13 | 2018 | 36 | |
| 14 | 2017 | 27 | |
| 15 | 2017 | 87 | |
| 16 | 2016 | 134 | |
| 17 | 2015 | 12 | |
| 18 | [Temporal-spatial scan clustering analysis on hand-foot-mouth disease in Zhejiang province, 2008-2013]. | 2014 | 1 |
| 19 | 2013 | 167 | |
| 20 | [Study on clustering of Yunnan unexplained sudden death in household and village]. | 2007 | 1 |
About Jian‐Piao Cai
Jian‐Piao Cai is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology, having authored 148 papers that have together received 5.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (42 papers), Viral gastroenteritis research and epidemiology (32 papers), Respiratory viral infections research (23 papers), COVID-19 Clinical Research Studies (22 papers), Viral Infections and Vectors (19 papers), Animal Virus Infections Studies (16 papers), Influenza Virus Research Studies (14 papers) and Mosquito-borne diseases and control (13 papers). The work is most often cited by research in Infectious Diseases (4.3k citations), Animal Science and Zoology (779 citations) and Modeling and Simulation (317 citations). Jian‐Piao Cai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kwok‐Yung Yuen, Jasper Fuk‐Woo Chan, Hin Chu, Kelvin Kai‐Wang To, Kwok‐Hung Chan, Jinxia Zhang, Jie Zhou, Honglin Chen, Patrick C. Y. Woo and Susanna K. P. Lau. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.
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.