Jean‐Baptiste Lugagne

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: “DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning”.

DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007673

N/A

0DataRank · unranked

264 citations

Haonan Lin, Mary J. Dunlop, Jean‐Baptiste Lugagne

Dynamic gene expression and growth underlie cell-to-cell heterogeneity in Escherichia coli stress response

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.14.297101

N/A

0DataRank · unranked

0 citations

Caroline M. Blassick, Jean‐Baptiste Lugagne, Mary J. Dunlop, Nadia M. V. Sampaio

Microsecond fingerprint stimulated Raman spectroscopic imaging by ultrafast tuning and spatial-spectral learning

Nature Communications(2021)10.1038/s41467-021-23202-z

N/A

0DataRank · unranked

148 citations

Hyeon Jeong Lee, Nathan Tague, Jean‐Baptiste Lugagne, Cheng Zong, Fengyuan Deng +6 more

DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.10.455795

N/A

0DataRank · unranked

8 citations

Razan N. Alnahhas, Jean‐Baptiste Lugagne, Mary J. Dunlop, Owen M. O’Connor

Longitudinal single-cell chemical imaging of engineered strains reveals heterogeneity in fatty acid production

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.07.26.453865

N/A

0DataRank · unranked

0 citations

Haonan Lin, Jean‐Baptiste Lugagne, Owen M. O’Connor, Deeya Burman, Wilson W. Wong +3 more

DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics

PLoS Computational Biology(2022)10.1371/journal.pcbi.1009797

N/A

0DataRank · unranked

112 citations

Razan N. Alnahhas, Jean‐Baptiste Lugagne, Mary J. Dunlop, Owen M. O’Connor

Dynamic gene expression and growth underlie cell-to-cell heterogeneity in Escherichia coli stress response

Proceedings of the National Academy of Sciences(2022)10.1073/pnas.2115032119

N/A

0DataRank · unranked

91 citations

Caroline M. Blassick, Virgile Andreani, Jean‐Baptiste Lugagne, Mary J. Dunlop, Nadia M. V. Sampaio

Deep model predictive control of gene expression in thousands of single cells

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.28.514305

N/A

0DataRank · unranked

5 citations

Caroline M. Blassick, Mary J. Dunlop, Jean‐Baptiste Lugagne

Longitudinal Single‐Cell Imaging of Engineered Strains with Stimulated Raman Scattering to Characterize Heterogeneity in Fatty Acid Production

Advanced Science(2023)10.1002/advs.202206519

N/A

0DataRank · unranked

26 citations

Haonan Lin, Jean‐Baptiste Lugagne, Owen M. O’Connor, Deeya Burman, Wilson W. Wong +3 more

Deep neural networks for predicting single cell responses and probability landscapes

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.24.546373

N/A

0DataRank · unranked

0 citations

Jean‐Baptiste Lugagne, Ahmad S. Khalil, Mary J. Dunlop, Heidi E. Klumpe

Deep model predictive control of gene expression in thousands of single cells

Nature Communications(2024)10.1038/s41467-024-46361-1

N/A

0DataRank · unranked

35 citations

Caroline M. Blassick, Mary J. Dunlop, Jean‐Baptiste Lugagne