🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Kaixuan Luo

Kunming Medical University

ORCID: 0000-0003-1515-5737

Also affiliated with University of Chicago

Biochemistry, Genetics and Molecular Biology

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 11 papers. Top paper: “A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening”.

A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening

Nature Methods(2023)10.1038/s41592-023-02017-4
N/A
0.553DataRank · unranked
39 citations

Kaixuan Luo, Lifan Liang, Mengjie Chen, Xin He, Yifan Zhou

GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

Genome biology(2023)10.1186/s13059-023-03067-9
N/A
0.477DataRank · unranked
23 citations

Kaixuan Luo, Abhishek Sarkar, Anthony Hung, Karl Tayeb, Sebastian Pott +2 more

Profiling the quantitative occupancy of myriad transcription factors across conditions by modeling chromatin accessibility data

Genome Research(2022)10.1101/gr.272203.120
N/A
0.208DataRank · unranked
3 citations

Jianling Zhong, Alexias Safi, Linda K. Hong, Alok K. Tewari, Lingyun Song +5 more

Quantitative occupancy of myriad transcription factors from one DNase experiment enables efficient comparisons across conditions

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.28.171587
N/A
0.165DataRank · unranked
2 citations

Jianling Zhong, Alexias Safi, Linda K. Hong, Alok K. Tewari, Lingyun Song +5 more

GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.03.531029
N/A
0DataRank · unranked
5 citations

Kaixuan Luo, Abhishek Sarkar, Anthony Hung, Karl Tayeb, Sebastian Pott +2 more

Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits

Nature Genetics(2024)10.1038/s41588-023-01648-9
N/A
0DataRank · unranked
77 citations

Wesley L. Crouse, Sheng Qian, Kaixuan Luo, Matthew Stephens, Xin He +1 more

Altered transcriptional and chromatin responses to rhinovirus in bronchial epithelial cells from adults with asthma

Communications Biology(2020)10.1038/s42003-020-01411-4
N/A
0DataRank · unranked
27 citations

Débora R. Sobreira, Grace Hansen, Noboru J. Sakabe, Kaixuan Luo, Christine Billstrand +9 more

Integrating multi-omics and multi-context QTL data with GWAS reveals the genetic architecture of complex traits and improves the discovery of risk genes

medRxiv(2025)10.64898/2025.12.19.25342620
N/A
0DataRank · unranked
2 citations

Kaixuan Luo, Xiaotong Sun, Wesley L. Crouse, Lifan Liang, Jing Gu +4 more

Single-cell genomics improves the discovery of risk variants and genes of Atrial Fibrillation

medRxiv(2022)10.1101/2022.02.02.22270312
N/A
0DataRank · unranked
2 citations

Kaixuan Luo, Michael Wasney, Linsin A. Smith, Xiaotong Sun, Chenwei Tang +6 more

A novel Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.13.480282
N/A
0DataRank · unranked
1 citations

Kaixuan Luo, Mengjie Chen, Xin He, Yifan Zhou

Single-cell genomics improves the discovery of risk variants and genes of atrial fibrillation

Nature Communications(2023)10.1038/s41467-023-40505-5
N/A
0DataRank · unranked
41 citations

Kaixuan Luo, Michael Wasney, Linsin A. Smith, Xiaotong Sun, Chenwei Tang +6 more