Author

Michelle J. Kim

Boston UniversityORCID 0009-0004-0933-0337Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Aarnav Kandukuri· 1 shared Aesun ShiniD· 1 shared Alicja WolkiD· 1 shared Amanda I. PhippsiD· 1 shared Andrea GsuriD· 1 shared Andrea N. Burnett‐HartmaniD· 1 shared Andrew Tan ChaniD· 1 shared Ann Graham ZauberiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

Aarnav Kandukuri

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2 papers

Recent·Most cited

NeuroscienceFrontiers in Cell and Developmental BiologyPeer-reviewedJul 1, 2026

A pipeline for cell migration analysis in live-cell imaging data from human iPSC-derived forebrain assembloids.

Maya Pauline Weidman, Natalie Baker Campbell, Cody Headings…·Martin Thunemann

1 citation

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Genetic & Genomic MedicinemedRxivPreprintJan 19, 2023

Combining Asian-European Genome-Wide Association Studies of Colorectal Cancer Improves Risk Prediction Across Race and Ethnicity

Minta Thomas, Yu‐Ru Su, Elisabeth A. Rosenthal…·Taiki Yamaji

This study improves polygenic risk scores for colorectal cancer by combining Asian and European ancestry data, enhancing risk prediction across diverse racial and ethnic groups.

1 citation

humanGWAS summary statistics

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