Kai S Shimagaki

Also affiliated with University of Michigan

Immunology and MicrobiologyBiochemistry, Genetics and Molecular BiologyMedicine

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 8 papers. Top paper: “Efficient epistasis inference via higher-order covariance matrix factorization”.

Efficient epistasis inference via higher-order covariance matrix factorization

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.14.618287

N/A

0.241DataRank · unranked

4 citations

John P. Barton, Kai S Shimagaki

popDMS infers mutation effects from deep mutational scanning data

Bioinformatics(2024)10.1093/bioinformatics/btae499

N/A

0DataRank · unranked

10 citations

Kai S Shimagaki, John P. Barton, Zhenchen Hong

Parallel HIV-1 fitness landscapes shape viral dynamics in humans and macaques that develop broadly neutralizing antibodies

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.07.12.603090

N/A

0DataRank · unranked

4 citations

Rebecca M. Lynch, John P. Barton, Kai S Shimagaki

Efficient epistasis inference via higher-order covariance matrix factorization

Genetics(2025)10.1093/genetics/iyaf118

N/A

0DataRank · unranked

5 citations

John P. Barton, Kai S Shimagaki

Parallel HIV-1 fitness landscapes shape viral dynamics in humans and macaques that develop broadly neutralizing antibodies

eLife(2025)10.7554/elife.105466

N/A

0DataRank · unranked

1 citations

Rebecca M. Lynch, John P. Barton, Kai S Shimagaki

Reviewer #1 (Public review): Parallel HIV-1 fitness landscapes shape viral dynamics in humans and macaques that develop broadly neutralizing antibodies

(2025)10.7554/elife.105466.1.sa2

N/A

0DataRank · unranked

0 citations

Rebecca M Lynch, John P Barton, Kai S Shimagaki

Bézier interpolation improves the inference of dynamical models from data

Physical review. E(2023)10.1103/physreve.107.024116

N/A

0DataRank · unranked

14 citations

John P. Barton, Kai S Shimagaki

Predicting viral sensitivity to antibodies using genetic sequences and antibody similarities

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.08.08.669352

N/A

0DataRank · unranked

0 citations

Gargi Kher, Rebecca M. Lynch, John P. Barton, Kai S Shimagaki