Standout Papers

Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiment... 2016 2026 2019 2022 311
  1. Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments (2016)
    Takamasa Kudo, Keara Lane et al. PLoS Computational Biology

Immediate Impact

1 by Nobel laureates 13 from Science/Nature 70 standout
Sub-graph 1 of 21

Citing Papers

A rare PRIMER cell state in plant immunity
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High‐Strength Gelatin Hydrogel Scaffold with Drug Loading Remodels the Inflammatory Microenvironment to Enhance Osteoporotic Bone Repair
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2 intermediate papers

Works of Inbal Maayan being referenced

NF-κB signaling dynamics is controlled by a dose-sensing autoregulatory loop
2019
Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments
2016 Standout

Author Peers

Author Last Decade Papers Cites
Inbal Maayan 221 22 47 205 73 6 428
Mialy DeFelice 248 16 84 226 73 5 467
Michael Schwarzfischer 292 35 34 206 61 11 488
Nicolas Quach 169 12 12 202 73 8 471
Isabel Vallcorba 129 14 70 191 76 16 480
Grégory Paul 172 59 47 113 34 7 426
Vidya Venkatachalam 221 15 44 153 29 10 446
Aabid Shariff 119 38 7 177 70 10 418
Linjing Fang 205 25 17 74 40 10 414
Thomas Blasi 226 9 12 257 56 8 484
Christopher Churas 259 13 14 72 23 13 425

All Works

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2026