Guangzhou Center for Disease Control and Prevention
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 5%
Papers in
-
- Viral Infections and Vectors 91
- Viral gastroenteritis research and epidemiology 81
- HIV/AIDS Research and Interventions 73
- SARS-CoV-2 and COVID-19 Research 70
-
- Air Quality and Health Impacts 86
- Top scholars
- Zhicong YangDi WuTiantian WuQun LiuMoira Chan‐YeungRuiheng XuKwok‐Yung YuenPatrick C. Y. Woo
- Journals
- BMC Public Health (44 papers)PLoS ONE (41 papers)Journal of Tropical Medicine (35 papers)Frontiers in Public Health (33 papers)Environmental Pollution (31 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Guangzhou Center for Disease Control and Prevention
1.5k papers receiving 34.1k citations
Peers
Comparison fields: 5 of 230
- Infectious Diseases 8.9k
- Modeling and Simulation 1.8k
- Health, Toxicology and Mutagenesis 4.5k
- Animal Science and Zoology 2.5k
- Epidemiology 5.1k
Countries citing scholars working at Guangzhou Center for Disease Control and Prevention
This map shows the geographic impact of research produced by authors working at Guangzhou Center for Disease Control and Prevention. 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 papers produced at Guangzhou Center for Disease Control and Prevention with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangzhou Center for Disease Control and Prevention more than expected).
Fields of papers published by authors at Guangzhou Center for Disease Control and Prevention
This network shows the impact of papers affiliated with Guangzhou Center for Disease Control and Prevention at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Guangzhou Center for Disease Control and Prevention at the time of their publication.
About Guangzhou Center for Disease Control and Prevention
In recent decades, authors affiliated with Guangzhou Center for Disease Control and Prevention have published 2.0k papers, which have received a total of 40.0k indexed citations . Scholars at this organization have produced 339 papers in Infectious Diseases, 192 papers in Health, Toxicology and Mutagenesis, 54 papers in Virology, 327 papers in Epidemiology and 46 papers in Modeling and Simulation on the topics of Mosquito-borne diseases and control (135 papers), Influenza Virus Research Studies (104 papers), Viral Infections and Vectors (91 papers), Air Quality and Health Impacts (86 papers), Viral gastroenteritis research and epidemiology (81 papers), HIV/AIDS Research and Interventions (73 papers), SARS-CoV-2 and COVID-19 Research (70 papers) and Respiratory viral infections research (60 papers). Their work is cited by papers focused on Infectious Diseases (8.9k citations), Modeling and Simulation (1.8k citations), Health, Toxicology and Mutagenesis (4.5k citations), Animal Science and Zoology (2.5k citations) and Epidemiology (5.1k citations). Authors at Guangzhou Center for Disease Control and Prevention collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including BMC Public Health, PLoS ONE, Journal of Tropical Medicine, Frontiers in Public Health and Environmental Pollution. Some of Guangzhou Center for Disease Control and Prevention's most productive authors include Zhicong Yang, Di Wu, Tiantian Wu, Qun Liu, Moira Chan‐Yeung, Ruiheng Xu, Kwok‐Yung Yuen, Patrick C. Y. Woo, Susanna K. P. Lau and Kwok‐Hung Chan.
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.