China Population and Development Research Center
Impact in
- Health top 10%
- Health disparities and outcomes
- Gender Studies top 5%
- Demographic Trends and Gender Preferences
Papers in
-
- Demographic Trends and Gender Preferences 64
- Health 53
- Health disparities and outcomes 44
- Top scholars
- Mónica Das GuptaDouglas S. MasseyBarry M. PopkinPenny Gordon‐LarsenRobert G. McMurrayWilliam J. StrawbridgeRichard. D. CohenElliot M. Tucker–Drob
- Journals
- Demographic Research (11 papers)Journal of Dairy Science (8 papers)China CDC Weekly (7 papers)Population Studies (7 papers)PEDIATRICS (7 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
China Population and Development Research Center
492 papers receiving 14.8k citations
Peers
Comparison fields: 5 of 220
- Health 1.5k
- Gender Studies 1.7k
- Demography 1.4k
- Pediatrics, Perinatology and Child Health 1.8k
- General Health Professions 2.3k
Countries citing scholars working at China Population and Development Research Center
This map shows the geographic impact of research produced by authors working at China Population and Development Research Center. 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 China Population and Development Research Center with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites China Population and Development Research Center more than expected).
Fields of papers published by authors at China Population and Development Research Center
This network shows the impact of papers affiliated with China Population and Development Research Center 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 China Population and Development Research Center at the time of their publication.
About China Population and Development Research Center
In recent decades, authors affiliated with China Population and Development Research Center have published 665 papers, which have received a total of 19.8k indexed citations . Scholars at this organization have produced 80 papers in Gender Studies, 53 papers in Health, 66 papers in Demography, 96 papers in General Health Professions and 67 papers in Pediatrics, Perinatology and Child Health on the topics of Demographic Trends and Gender Preferences (64 papers), Health disparities and outcomes (44 papers), Global Maternal and Child Health (43 papers), Intergenerational Family Dynamics and Caregiving (36 papers), Global Health Care Issues (24 papers), Migration and Labor Dynamics (23 papers), Adolescent Sexual and Reproductive Health (22 papers) and Family Dynamics and Relationships (22 papers). Their work is cited by papers focused on Health (1.5k citations), Gender Studies (1.7k citations), Demography (1.4k citations), Pediatrics, Perinatology and Child Health (1.8k citations) and General Health Professions (2.3k citations). Authors at China Population and Development Research Center collaborate with scholars in China, United States and India and have published in prestigious journals including Demographic Research, Journal of Dairy Science, China CDC Weekly, Population Studies and PEDIATRICS. Some of China Population and Development Research Center's most productive authors include Mónica Das Gupta, Douglas S. Massey, Barry M. Popkin, Penny Gordon‐Larsen, Robert G. McMurray, William J. Strawbridge, Richard. D. Cohen, Elliot M. Tucker–Drob, Daniel A. Briley and Gary A. Payne.
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.