Jiacheng Miao

Biochemistry, Genetics and Molecular BiologyMathematics

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 21 papers. Top paper: “The Impact of Late-Career Job Loss and Genotype on Body Mass Index”.

The Impact of Late-Career Job Loss and Genotype on Body Mass Index

medRxiv(2020)10.1101/2020.11.20.20235895

N/A

0DataRank · unranked

0 citations

Julia A. Goodwin, Jiacheng Miao, Qiongshi Lu, Dalton Conley, Lauren Schmitz

The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores

Scientific Reports(2021)10.1038/s41598-021-86716-y

N/A

0DataRank · unranked

22 citations

Julia A. Goodwin, Jiacheng Miao, Qiongshi Lu, Dalton Conley, Lauren Schmitz

The Socioeconomic Gradient in Epigenetic Aging Clocks: Evidence from the Multi-Ethnic Study of Atherosclerosis and the Health and Retirement Study

medRxiv(2021)10.1101/2021.03.01.21252660

N/A

0DataRank · unranked

11 citations

Wei Zhao, Scott M. Ratliff, Julia A. Goodwin, Jiacheng Miao, Qiongshi Lu +7 more

Reimagining Gene-Environment Interaction Analysis for Human Complex Traits

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.11.519973

N/A

0DataRank · unranked

14 citations

Gefei Song, Yixuan Wu, Jiaxin Hu, Yuchang Wu, Shubhashrita Basu +6 more

Optimizing and benchmarking polygenic risk scores with GWAS summary statistics

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.26.513833

N/A

0DataRank · unranked

6 citations

Tim Gruenloh, Meiyi Yan, Yixuan Wu, Zhongxuan Sun, Jiacheng Miao +4 more

Neuropathology-based APOE genetic risk score better quantifies Alzheimer’s risk

medRxiv(2022)10.1101/2022.10.12.22280874

N/A

0DataRank · unranked

1 citations

Eva Vasiljevic, Autumn Morrow, Jiacheng Miao, Carol Van Hulle, Erin M. Jonaitis +16 more

Neuropathology‐based APOE genetic risk score better quantifies Alzheimer's risk

Alzheimer s & Dementia(2023)10.1002/alz.12990

N/A

0DataRank · unranked

23 citations

Eva Vasiljevic, Autumn Morrow, Jiacheng Miao, Carol Van Hulle, Erin M. Jonaitis +16 more

Statistical methods for gene–environment interaction analysis

Wiley Interdisciplinary Reviews Computational Statistics(2023)10.1002/wics.1635

N/A

0DataRank · unranked

16 citations

Yixuan Wu, Qiongshi Lu, Jiacheng Miao

Pervasive biases in proxy GWAS based on parental history of Alzheimer’s disease

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.13.562272

N/A

0DataRank · unranked

16 citations

Zhongxuan Sun, Qinwen Zheng, Jiacheng Miao, Stephen Dorn, Shubhabrata Mukherjee +3 more

Author Correction: The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores

Scientific Reports(2023)10.1038/s41598-023-33157-4

N/A

0DataRank · unranked

0 citations

Julia A. Goodwin, Jiacheng Miao, Qiongshi Lu, Dalton Conley, Lauren Schmitz

Pervasive biases in proxy genome-wide association studies based on parental history of Alzheimer’s disease

Nature Genetics(2024)10.1038/s41588-024-01963-9

N/A

0DataRank · unranked

47 citations

Zhongxuan Sun, Qinwen Zheng, Jiacheng Miao, Stephen Dorn, Shubhabrata Mukherjee +3 more

Valid inference for machine learning-assisted genome-wide association studies

Nature Genetics(2024)10.1038/s41588-024-01934-0

N/A

0DataRank · unranked

23 citations

Yixuan Wu, Zhongxuan Sun, Xinran Miao, Tianyuan Lu, Jiwei Zhao +2 more

Controlling for polygenic genetic confounding in epidemiologic association studies

Proceedings of the National Academy of Sciences(2024)10.1073/pnas.2408715121

N/A

0DataRank · unranked

5 citations

Xiaoyu Yang, Stephen Dorn, Jiacheng Miao, Silvia Barcellos, Jason M. Fletcher +2 more

Valid inference for machine learning-assisted GWAS

medRxiv(2024)10.1101/2024.01.03.24300779

N/A

0DataRank · unranked

4 citations

Yixuan Wu, Zhongxuan Sun, Xinran Miao, Tianyuan Lu, Jiwei Zhao +2 more

Controlling for polygenic genetic confounding in epidemiologic association studies

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.12.579913

N/A

0DataRank · unranked

1 citations

Xiaoyu Yang, Jiacheng Miao, Stephen Dorn, Silvia Barcellos, Jason M. Fletcher +2 more

Task-Agnostic Machine-Learning-Assisted Inference

arXiv (Cornell University)(2024)10.48550/arxiv.2405.20039

N/A

0DataRank · unranked

1 citations

Qiongshi Lu, Jiacheng Miao

ipd: An R Package for Conducting Inference on Predicted Data

arXiv (Cornell University)(2024)10.48550/arxiv.2410.09665

N/A

0DataRank · unranked

0 citations

Jiacheng Miao, Awan Afiaz, Kentaro Hoffman, Anna Neufeld, Qiongshi Lu +3 more

PIGEON: a statistical framework for estimating gene–environment interaction for polygenic traits

Nature Human Behaviour(2025)10.1038/s41562-025-02202-9

N/A

0DataRank · unranked

7 citations

Gefei Song, Yixuan Wu, Jiaxin Hu, Yuchang Wu, Shubhashrita Basu +6 more

Genetic basis of partner choice

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.02.03.636375

N/A

0DataRank · unranked

4 citations

Sjoerd van Alten, Torkild Hovde Lyngstad, Edoardo Ciscato, Zhongxuan Sun, Jiacheng Miao +12 more

ipd: an R package for conducting inference on predicted data

Bioinformatics(2025)10.1093/bioinformatics/btaf055

N/A

0DataRank · unranked

0 citations

Jiacheng Miao, Awan Afiaz, Kentaro Hoffman, Anna Neufeld, Qiongshi Lu +3 more

Polygenic prediction of treatment efficacy with causal transfer learning

medRxiv(2025)10.1101/2025.10.15.25338051

N/A

0DataRank · unranked

0 citations

Jing Mu, Xiaoyu Yang, Jason Fletcher, Lauren Schmitz, Qiongshi Lu +1 more