Chinese Center For Disease Control and Prevention
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
-
- Air Quality and Health Impacts
- Climate Change and Health Impacts
Papers in
- Infectious Diseases 2.0k
- Tuberculosis Research and Epidemiology 436
- Viral Infections and Vectors 411
- Viral gastroenteritis research and epidemiology 341
- HIV/AIDS Research and Interventions 324
- Virology 404
- HIV Research and Treatment 295
- Top scholars
- Zunyou WuJennifer M. McGooganGeorge F. GaoBarry M. PopkinWenjie TanYongning WuTiantian LiShufa Du
- Journals
- China CDC Weekly (317 papers)PLoS ONE (291 papers)Nutrients (188 papers)BMC Infectious Diseases (143 papers)BMC Public Health (135 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Chinese Center For Disease Control and Prevention
7.9k papers receiving 194.7k citations
Peers
Comparison fields: 5 of 241
- Infectious Diseases 54.8k
- Health, Toxicology and Mutagenesis 24.3k
- Modeling and Simulation 6.2k
- Virology 5.3k
- Parasitology 7.7k
Countries citing scholars working at Chinese Center For Disease Control and Prevention
This map shows the geographic impact of research produced by authors working at Chinese 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 Chinese 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 Chinese Center For Disease Control and Prevention more than expected).
Fields of papers published by authors at Chinese Center For Disease Control and Prevention
This network shows the impact of papers affiliated with Chinese 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 Chinese Center For Disease Control and Prevention at the time of their publication.
About Chinese Center For Disease Control and Prevention
In recent decades, authors affiliated with Chinese Center For Disease Control and Prevention have published 10.5k papers, which have received a total of 238.2k indexed citations . Scholars at this organization have produced 2.0k papers in Infectious Diseases, 404 papers in Virology, 990 papers in Health, Toxicology and Mutagenesis, 1.8k papers in Epidemiology and 197 papers in Modeling and Simulation on the topics of Air Quality and Health Impacts (458 papers), Tuberculosis Research and Epidemiology (436 papers), Influenza Virus Research Studies (431 papers), Viral Infections and Vectors (411 papers), Climate Change and Health Impacts (347 papers), Viral gastroenteritis research and epidemiology (341 papers), HIV/AIDS Research and Interventions (324 papers) and HIV Research and Treatment (295 papers). Their work is cited by papers focused on Infectious Diseases (54.8k citations), Health, Toxicology and Mutagenesis (24.3k citations), Modeling and Simulation (6.2k citations), Virology (5.3k citations) and Parasitology (7.7k citations). Authors at Chinese Center For Disease Control and Prevention collaborate with scholars in China, United States and Taiwan and have published in prestigious journals including China CDC Weekly, PLoS ONE, Nutrients, BMC Infectious Diseases and BMC Public Health. Some of Chinese Center For Disease Control and Prevention's most productive authors include Zunyou Wu, Jennifer M. McGoogan, George F. Gao, Barry M. Popkin, Wenjie Tan, Yongning Wu, Tiantian Li, Shufa Du, Ling Yang and Guizhen Wu.
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.