China Kadoorie Biobank of 0.5 million people: survey methods, baseline characteristics and long-term follow-up.

By Zhengming Chen, Junshi Chen, R. Collins, Yu Guo, R. Peto, Fan Wu, Liming Li. International Journal of Epidemiology, 2011

916 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Genetics

View Paper: https://www.semanticscholar.org/paper/42be34cd57cce14ca9583c88d9c0e0f4b8db907b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cardiology and Cardiovascular Medicine

1. Eric J. Topol
2. Pranav Rajpurkar

In Genetics

1. Eran Segal
2. Eric J. Topol
3. Pranav Rajpurkar
4. Hagai Rossman
5. S. Shilo

Citations in the corpus

• Multimodal biomedical AI (2022, result): “Similar initiatives have been conducted in other countries, such as the China Kadoorie Biobank 86 and Biobank Japan 87 .”
• Million Veteran Program: A mega-biobank to study genetic influences on health and disease. (2016, background): “…the world d such as the UK Biobank [10 e 12], similar efforts at Vanderbilt University [13], the Kaiser Permanente Research Program on Genes, Environment, and Health [14], the China Kadoorie Biobank [15], as well as others d reveal several key features for establishing these large-scale projects.”
• Axes of a revolution: challenges and promises of big data in healthcare (2020, background): “Prominent examples of these include UKBiobank 50 , All of Us Research 33 , Kadoorie biobank 51 , Million Veteran program 49 and Mexico City study 52 , as well as others.”