Wei Pan

Also affiliated with Wuhan Textile University

Biochemistry, Genetics and Molecular BiologyNeurosciencePsychologyMathematics

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 4%percentile

0.668Author DataRank

Indexed papers

2in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Multimodal data integration to predict atrial fibrillation

European Heart Journal - Digital Health(2024)10.1093/ehjdh/ztae081

Top 50%

0.349DataRank

Top 50%6 citations

Michael J. Zhang, Wendy Wang, Zhong Zhuang, Ruoyu He, Yuekai Ji +9 more

Papers

Driven by 63 papers — median percentile 48. Top paper: “A novel multivariable Mendelian randomization framework to disentangle highly correlated exposures with application to metabolomics”.

A novel multivariable Mendelian randomization framework to disentangle highly correlated exposures with application to metabolomics

The American Journal of Human Genetics(2024)10.1016/j.ajhg.2024.07.007

N/A

0.533DataRank · unranked

13 citations

Mykhaylo M. Malakhov, Wei Pan, Lap Sum Chan

A practical problem with Egger regression in Mendelian randomization

PLoS Genetics(2022)10.1371/journal.pgen.1010166

N/A

0.505DataRank · unranked

28 citations

Isaac Pan, Wei Pan, Zhaotong Lin

Accounting for nonlinear effects of gene expression identifies additional associated genes in transcriptome-wide association studies

Human Molecular Genetics(2022)10.1093/hmg/ddac015

N/A

0.385DataRank · unranked

12 citations

Haoran Xue, Mykhaylo M. Malakhov, Katherine A. Knutson, Wei Pan, Zhaotong Lin

Multimodal data integration to predict atrial fibrillation

European Heart Journal - Digital Health(2024)10.1093/ehjdh/ztae081

Top 50%

0.349DataRank

Top 50%6 citations

Michael J. Zhang, Wendy Wang, Zhong Zhuang, Ruoyu He, Yuekai Ji +9 more

Using GWAS summary data to impute traits for genotyped individuals

Human Genetics and Genomics Advances(2023)10.1016/j.xhgg.2023.100197

Top 53%

0.319DataRank

Top 53%7 citations

Zhaotong Lin, Ruoyu He, Xiaotong Shen, Wei Pan, Jingchen Ren

Inference for a Large Directed Acyclic Graph with Unspecified Interventions

PubMed(2021)10.48550/arxiv.2110.03805

N/A

0.312DataRank · unranked

7 citations

Xiaotong Shen, Wei Pan, Chunlin Li

Integrating GWAS summary statistics, individual-level genotypic and omic data to enhance the performance for large-scale trait imputation

Human Molecular Genetics(2023)10.1093/hmg/ddad097

N/A

0.172DataRank · unranked

2 citations

Zhaotong Lin, Wei Pan, Jingchen Ren

A bootstrap model comparison test for identifying genes with context-specific patterns of genetic regulation

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.06.531446

N/A

0.165DataRank · unranked

2 citations

Ben Dai, Xiaotong Shen, Wei Pan, Mykhaylo M. Malakhov

Speeding up Monte Carlo simulations for the adaptive sum of powered score test with importance sampling

Biometrics(2020)10.1111/biom.13407

N/A

0DataRank · unranked

3 citations

Yinqiu He, Gongjun Xu, Wei Pan, Yangqing Deng

Reconstruction of a directed acyclic graph with intervention

Electronic Journal of Statistics(2020)10.1214/20-ejs1767

N/A

0DataRank · unranked

4 citations

Xiaotong Shen, Wei Pan, Si Peng

Outcome weighted ψ‐learning for individualized treatment rules

Stat(2020)10.1002/sta4.343

N/A

0DataRank · unranked

2 citations

Xiaotong Shen, Wei Pan, Mingyang Liu

Inferring Causal Direction Between Two Traits in the Presence of Horizontal Pleiotropy with GWAS Summary Data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.02.280263

N/A

0DataRank · unranked

0 citations

Wei Pan, Haoran Xue

Constrained maximum likelihood-based Mendelian randomization robust to both correlated and uncorrelated pleiotropic effects

The American Journal of Human Genetics(2021)10.1016/j.ajhg.2021.05.014

N/A

0DataRank · unranked

377 citations

Xiaotong Shen, Wei Pan, Haoran Xue

Combining the strengths of inverse-variance weighting and Egger regression in Mendelian randomization using a mixture of regressions model

PLoS Genetics(2021)10.1371/journal.pgen.1009922

N/A

0DataRank · unranked

339 citations

Yangqing Deng, Wei Pan, Zhaotong Lin

Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi‐phased study of prostate cancer

Cancer Communications(2021)10.1002/cac2.12205

N/A

0DataRank · unranked

22 citations

Jingjing Zhu, Austin King, Xiaoran Tong, Qing Lu, Jong Y. Park +13 more

Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies

PLoS Computational Biology(2021)10.1371/journal.pcbi.1009266

N/A

0DataRank · unranked

5 citations

Wei Pan, Yangqing Deng

Model Checking via Testing for Direct Effects in Mendelian Randomization and Transcriptome-wide Association Studies

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.07.09.451811

N/A

0DataRank · unranked

1 citations

Wei Pan, Yangqing Deng

Two-level monotonic multistage recommender systems

Electronic Journal of Statistics(2021)10.1214/21-ejs1924

N/A

0DataRank · unranked

0 citations

Xiaotong Shen, Wei Pan, Ben Dai

Deep reinforcement learning for personalized treatment recommendation

Statistics in Medicine(2022)10.1002/sim.9491

N/A

0DataRank · unranked

71 citations

Xiaotong Shen, Wei Pan, Mingyang Liu

Significance Tests of Feature Relevance for a Black-Box Learner

IEEE Transactions on Neural Networks and Learning Systems(2022)10.1109/tnnls.2022.3185742

N/A

0DataRank · unranked

34 citations

Xiaotong Shen, Wei Pan, Ben Dai

Robust inference of bi-directional causal relationships in presence of correlated pleiotropy with GWAS summary data

PLoS Genetics(2022)10.1371/journal.pgen.1010205

N/A

0DataRank · unranked

13 citations

Wei Pan, Haoran Xue

MATS: a novel multi-ancestry transcriptome-wide association study to account for heterogeneity in the effects of cis-regulated gene expression on complex traits

Human Molecular Genetics(2022)10.1093/hmg/ddac247

N/A

0DataRank · unranked

9 citations

Wei Pan, Katherine A. Knutson

Statistical power of transcriptome‐wide association studies

Genetic Epidemiology(2022)10.1002/gepi.22491

N/A

0DataRank · unranked

14 citations

Haoran Xue, Wei Pan, for the Alzheimer's Disease Neuroimaging Initiative, Ruoyu He

Sparse prediction informed by genetic annotations using the logit normal prior for Bayesian regression tree ensembles

Genetic Epidemiology(2022)10.1002/gepi.22505

N/A

0DataRank · unranked

3 citations

Wei Pan, ADNI, The Alzheimer's Disease Neuroimaging Initiative, Charles Spanbauer

Leveraging omics data to boost the power of genome-wide association studies

Human Genetics and Genomics Advances(2022)10.1016/j.xhgg.2022.100144

N/A

0DataRank · unranked

4 citations

Katherine A. Knutson, Wei Pan, Zhaotong Lin

Robust Inference of Bi-Directional Causal Relationships in Presence of Correlated Pleiotropy with GWAS Summary Data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.03.02.482630

N/A

0DataRank · unranked

1 citations

Wei Pan, Haoran Xue

Deep Learning-based Feature Extraction with MRI Data in Neuroimaging Genetics for Alzheimer’s Disease

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.05.515286

N/A

0DataRank · unranked

0 citations

Zhong Zhuang, Haoran Xue, Mark Fiecas, Xiaotong Shen, Alzheimer’s Disease Neuroimaging Initiative +2 more

Guidelines for performing Mendelian randomization investigations: update for summer 2023

Wellcome Open Research(2023)10.12688/wellcomeopenres.15555.3

N/A

0DataRank · unranked

711 citations

George Davey Smith, Neil M. Davies, Frank Dudbridge, Dipender Gill, M. Maria Glymour +9 more

Robust multivariable Mendelian randomization based on constrained maximum likelihood

The American Journal of Human Genetics(2023)10.1016/j.ajhg.2023.02.014

N/A

0DataRank · unranked

53 citations

Haoran Xue, Wei Pan, Zhaotong Lin

Causal Inference in Transcriptome-Wide Association Studies with Invalid Instruments and GWAS Summary Data

Journal of the American Statistical Association(2023)10.1080/01621459.2023.2183127

N/A

0DataRank · unranked

31 citations

Xiaotong Shen, Wei Pan, Haoran Xue

Combining Mendelian randomization and network deconvolution for inference of causal networks with GWAS summary data

PLoS Genetics(2023)10.1371/journal.pgen.1010762

N/A

0DataRank · unranked

18 citations

Haoran Xue, Wei Pan, Zhaotong Lin

DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies

Biostatistics(2023)10.1093/biostatistics/kxac051

N/A

0DataRank · unranked

15 citations

Mingyang Liu, Zhaotong Lin, Zhong Zhuang, Xiaotong Shen, Wei Pan +1 more

Nonlinear Causal Discovery with Confounders

Journal of the American Statistical Association(2023)10.1080/01621459.2023.2179490

N/A

0DataRank · unranked

13 citations

Xiaotong Shen, Wei Pan, Chunlin Li

Discovery and Inference of a Causal Network with Hidden Confounding

Journal of the American Statistical Association(2023)10.1080/01621459.2023.2261658

N/A

0DataRank · unranked

3 citations

Chunlin Li, Xiaotong Shen, Wei Pan, Li Chen

Deep causal feature extraction and inference with neuroimaging genetic data

Statistics in Medicine(2023)10.1002/sim.9824

N/A

0DataRank · unranked

4 citations

Dipnil Charkraborty, Lin Zhang, Xiaotong Shen, Alzheimer's Disease Neuroimaging Initiative, Wei Pan +1 more

Statistical inference with large‐scale trait imputation

Statistics in Medicine(2023)10.1002/sim.9975

N/A

0DataRank · unranked

2 citations

Wei Pan, Jingchen Ren

Inference of causal metabolite networks in the presence of invalid instrumental variables with GWAS summary data

Genetic Epidemiology(2023)10.1002/gepi.22535

N/A

0DataRank · unranked

2 citations

Zhaotong Lin, Xiaotong Shen, Ling Li, Wei Pan, Siyi Chen

Inferring a directed acyclic graph of phenotypes from GWAS summary statistics

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.10.528092

N/A

0DataRank · unranked

1 citations

Chunlin Li, Xiaotong Shen, Wei Pan, Tianzhong Yang, Rachel Zilinskas

A robust cis-Mendelian randomization method with application to drug target discovery

Nature Communications(2024)10.1038/s41467-024-50385-y

N/A

0DataRank · unranked

38 citations

Wei Pan, Zhaotong Lin

Enhancing personalized gene expression prediction from DNA sequences using genomic foundation models

Human Genetics and Genomics Advances(2024)10.1016/j.xhgg.2024.100347

N/A

0DataRank · unranked

7 citations

Nidhi Pai, Wei Pan, Pratik Ramprasad

Enhancing Gene Expression Predictions Using Deep Learning and Functional Annotations

Genetic Epidemiology(2024)10.1002/gepi.22595

N/A

0DataRank · unranked

5 citations

Jingchen Ren, Wei Pan, Pratik Ramprasad

Inferring a directed acyclic graph of phenotypes from GWAS summary statistics

Biometrics(2024)10.1093/biomtc/ujad039

N/A

0DataRank · unranked

4 citations

Chunlin Li, Xiaotong Shen, Wei Pan, Tianzhong Yang, Rachel Zilinskas

Collider bias correction for multiple covariates in GWAS using robust multivariable Mendelian randomization

PLoS Genetics(2024)10.1371/journal.pgen.1011246

N/A

0DataRank · unranked

4 citations

Zhaotong Lin, Haoran Xue, Wei Pan, Peiyao Wang

Inferring causal direction between two traits using R2 with application to transcriptome-wide association studies

The American Journal of Human Genetics(2024)10.1016/j.ajhg.2024.06.013

N/A

0DataRank · unranked

2 citations

Haoran Xue, Wei Pan, Hui‐ling Liao

A bootstrap model comparison test for identifying genes with context-specific patterns of genetic regulation

The Annals of Applied Statistics(2024)10.1214/23-aoas1859

N/A

0DataRank · unranked

2 citations

Ben Dai, Xiaotong Shen, Wei Pan, Mykhaylo M. Malakhov

Are trait‐associated genes clustered together in a gene network?

Genetic Epidemiology(2024)10.1002/gepi.22557

N/A

0DataRank · unranked

1 citations

Wei Pan, Hyun Jung Koo

Co-expression-wide association studies link genetically regulated interactions with complex traits

medRxiv(2024)10.1101/2024.10.02.24314813

N/A

0DataRank · unranked

2 citations

Wei Pan, Mykhaylo M. Malakhov

Trait imputation enhances nonlinear genetic prediction for some traits

Genetics(2024)10.1093/genetics/iyae148

N/A

0DataRank · unranked

0 citations

Jinwen Fu, Jingchen Ren, Wei Pan, Ruoyu He

On network deconvolution for undirected graphs

Biometrics(2024)10.1093/biomtc/ujae112

N/A

0DataRank · unranked

0 citations

Isaac Pan, Wei Pan, Zhaotong Lin

A novel electrocardiogram-based model for prediction of dementia: the Atherosclerosis Risk in Communities (ARIC) study

European Heart Journal(2024)10.1093/eurheartj/ehae666.2626

N/A

0DataRank · unranked

0 citations

Y Yao, Ethan D. Moser, Weidong Wang, Elsayed Z. Soliman, Thomas H. Mosley +2 more

Multivariate proteome-wide association study to identify causal proteins for Alzheimer disease

The American Journal of Human Genetics(2025)10.1016/j.ajhg.2024.12.010

N/A

0DataRank · unranked

5 citations

Haoran Xue, Zhaotong Lin, Wei Pan, Lei Fang

Unbiased causal inference with Mendelian randomization and covariate-adjusted GWAS data

Human Genetics and Genomics Advances(2025)10.1016/j.xhgg.2025.100412

N/A

0DataRank · unranked

3 citations

Zhaotong Lin, Wei Pan, Peiyao Wang

Extracting Genetically‐Imputed Causal Features From ECG Data

Statistical Analysis and Data Mining The ASA Data Science Journal(2025)10.1002/sam.70026

N/A

0DataRank · unranked

0 citations

Zhaotong Lin, Xiaotong Shen, Lin Y. Chen, Wei Pan, Yuchen Yao

A Modification to Two‐Stage Least Squares With Genetic Applications

Statistics in Medicine(2025)10.1002/sim.70308

N/A

0DataRank · unranked

0 citations

Wei Pan, Lei Fang

A powerful and versatile colocalization test

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007778

N/A

0DataRank · unranked

17 citations

Wei Pan, Yangqing Deng

Co-expression-wide association studies link genetically regulated interactions with complex traits

Nature Communications(2025)10.1038/s41467-025-66039-6

N/A

0DataRank · unranked

0 citations

Wei Pan, Mykhaylo M. Malakhov

Integrating brain imaging endophenotypes with GWAS for Alzheimer’s disease

Quantitative Biology(2020)10.1007/s40484-020-0202-9

N/A

0DataRank · unranked

15 citations

Wei Pan, Katherine A. Knutson

Implicating causal brain imaging endophenotypes in Alzheimer’s disease using multivariable IWAS and GWAS summary data

NeuroImage(2020)10.1016/j.neuroimage.2020.117347

N/A

0DataRank · unranked

46 citations

Yangqing Deng, Wei Pan, Katherine A. Knutson

Penalized regression and model selection methods for polygenic scores on summary statistics

PLoS Computational Biology(2020)10.1371/journal.pcbi.1008271

N/A

0DataRank · unranked

39 citations

Wei Pan, Jack Pattee

Inferring causal direction between two traits in the presence of horizontal pleiotropy with GWAS summary data

PLoS Genetics(2020)10.1371/journal.pgen.1009105

N/A

0DataRank · unranked

38 citations

Wei Pan, Haoran Xue

Integrative analysis of multi-omics data for discovering low-frequency variants associated with low-density lipoprotein cholesterol levels

Bioinformatics(2020)10.1093/bioinformatics/btaa898

N/A

0DataRank · unranked

5 citations

Peng Wei, Wei Pan, Tianzhong Yang

Leveraging existing GWAS summary data of genetically correlated and uncorrelated traits to improve power for a new GWAS

Genetic Epidemiology(2020)10.1002/gepi.22333

N/A

0DataRank · unranked

4 citations

Chong Wu, Wei Pan, Haoran Xue

Penalized model-based clustering of fMRI data

Biostatistics(2020)10.1093/biostatistics/kxaa061

N/A

0DataRank · unranked

4 citations

Karina Quevedo, Jazmin Camchong, Kelvin O. Lim, Wei Pan, Lin Zhang +1 more

Wei Pan

Indexed papers

Top data-sharing exemplar

Papers