Standout Papers

Using machine learning approaches for multi-omics data analysis: A review 2021 2026 2022 2024435
  1. Using machine learning approaches for multi-omics data analysis: A review (2021)
    Parminder Singh Reel, Smarti Reel et al. Biotechnology Advances

Immediate Impact

47 standout
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Citing Papers

Multi-OMICS approaches in cancer biology: New era in cancer therapy
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A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
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2 intermediate papers

Works of Smarti Reel being referenced

Using machine learning approaches for multi-omics data analysis: A review
2021 Standout

Author Peers

Author Last Decade Papers Cites
Smarti Reel 22 5 262 64 55 5 461
Parminder Singh Reel 46 266 62 56 16 553
Ladislav Rampášek 19 252 77 25 7 491
Nimrod Rappoport 16 461 123 65 8 574
César Angeletti 10 342 45 59 13 494
Olivier Périn 6 325 68 33 14 503
Dieter Maier 5 326 49 47 12 497
Héctor Sanz 7 159 82 94 8 431
Brandon Jew 4 210 79 31 11 422
Xuelin Huang 9 245 125 88 14 478
Patrick K. Kimes 6 197 51 29 9 474

All Works

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2026