Red Meat, Poultry, and Fish Consumption and the Risk of Liver Cancer: A Prospective Cohort Study of 0.5 Million Chinese Adults

This is the first prospective study examining the association between meat consumption and the risk of liver cancer in the Chinese population.

Authors

Institutions

Publication Details

Journal
Cancer Epidemiology Biomarkers & Prevention
Published
2024-12-23
DOI
https://doi.org/10.1158/1055-9965.epi-24-1158
Citations
2
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
1.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Red Meat, Poultry, and Fish Consumption and the Risk of Liver Cancer: A Prospective Cohort Study of 0.5 Million Chinese Adults

Jie‐Jun Hu, Guo‐Chao Zhong, Chun-Rui Wang, Xin Dai et al.
2 citations
Cancer Epidemiology Biomarkers & Prevention
Nutritional Studies and Diet
1.09
article

Red Meat, Poultry, and Fish Consumption and the Risk of Liver Cancer: A Prospective Cohort Study of 0.5 Million Chinese Adults

Jie‐Jun Hu, Guo‐Chao Zhong, Chun-Rui Wang, Xin Dai, Dong Cai, Kun He, Qian Zhu
article en
2 citations

Abstract

This is the first prospective study examining the association between meat consumption and the risk of liver cancer in the Chinese population.

Cancer Epidemiology Biomarkers & PreventionVol. 34(3)
Dalian Medical University (CN), Second Affiliated Hospital of Chongqing Medical University (CN), Chongqing Public Health Medical Center (CN), Chongqing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 19%
Nutritional Studies and Diet
1.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.