A large-scale microRNA transcriptome-wide association study identifies two susceptibility microRNAs, miR-1307-5p and miR-192-3p, for colorectal cancer risk is a research paper published in Human Molecular Genetics (2023). On theSindex it has a DataRank of 0.241. It has been cited 4 times.
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Base Score Contribution
0.241
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →US National Institutes of Health
Grant: R37 CA227130
Shanghai Women’s Health Study
Grant: R37CA070867
Shanghai Women’s Health Study
Grant: UM1CA182910
Shanghai Men’s Health Study
Grant: R01CA082729
Shanghai Men’s Health Study
Grant: UM1CA173640
Shanghai Breast and Endometrial Cancer Studies
Grant: R01CA064277
Shanghai Breast and Endometrial Cancer Studies
Grant: R01CA092585
Shanghai Colorectal Cancer Study 3
Grant: R01CA188214
National Key Scientific and Technological Project
Grant: 2011ZX09307-001-04
National Basic Research Program
Grant: 2011CB504303
Natural Science Foundation of China
Grant: 81072383
Chonnam National University Hwasun Hospital Biomedical Research Institute
Grant: HCRI18007
Japanese Ministry of Education, Culture, Sports, Science and Technology
Grant: 17015018
Japanese Ministry of Education, Culture, Sports, Science and Technology
Grant: 221S0001
National Research Foundation of Korea
Grant: 2010-0010276
National Research Foundation of Korea
Grant: 2013R1A1A2A10008260
National Cancer Center Korea
Grant: 0910220
National Cancer Center Korea
Grant: 1710882
National R&D Program for Cancer Control
Grant: 1631020
Seoul R&D Program
Grant: 10526
Aichi Colorectal Cancer Study
Hwasun Cancer Epidemiology Study-Colon and Rectum Cancer
Japan BioBank Colorectal Cancer Study
National Cancer Center
Asia Colorectal Cancer Consortium
Anne Potter Wilson Chair Funds
FWCI
0.42
Citation Percentile
0.6%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals