Standout Papers

Machine learning identifies candidates for drug repurposing in Alzheimer’s disease 2021 2026 2022 2024166
  1. Machine learning identifies candidates for drug repurposing in Alzheimer’s disease (2021)
    Steve Rodriguez, Clemens B. Hug et al. Nature Communications

Immediate Impact

1 from Science/Nature 53 standout
Sub-graph 1 of 24

Citing Papers

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
2024 Standout
Senolytics: from pharmacological inhibitors to immunotherapies, a promising future for patients’ treatment
2024 Standout
2 intermediate papers

Works of Nathan Johnson being referenced

Machine learning identifies candidates for drug repurposing in Alzheimer’s disease
2021 Standout

Author Peers

Author Last Decade Papers Cites
Nathan Johnson 198 39 21 90 80 14 403
Therese Ku 126 71 29 57 33 18 400
Fabienne Dulin 169 28 14 17 37 12 426
Evelyn Süß 332 17 18 35 60 12 446
Pranitha Jenardhanan 150 20 23 19 30 14 338
Roxanne Y. Y. Chan 240 120 11 36 56 16 430
Danijela Stanisavljević Ninković 181 34 29 51 9 17 356
Ankita Sarkar 235 40 29 34 10 25 429
Mayumi Yonemochi 245 55 9 17 36 10 367
M.G. Gruetter 218 33 20 24 21 12 343
Jean Eastman 216 92 16 22 65 9 377

All Works

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2026