Standout Papers

Artificial intelligence to deep learning: machine intelligence approach for drug discovery 2021 2026 2022 2024682
  1. Artificial intelligence to deep learning: machine intelligence approach for drug discovery (2021)
    Rohan Gupta, Devesh Srivastava et al. Molecular Diversity

Immediate Impact

52 standout
Sub-graph 1 of 21

Citing Papers

Large Language Models lack essential metacognition for reliable medical reasoning
2025 Standout
Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment
2025 Standout
3 intermediate papers

Works of Mehar Sahu being referenced

Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis
2022
Artificial intelligence to deep learning: machine intelligence approach for drug discovery
2021 Standout

Author Peers

Author Last Decade Papers Cites
Mehar Sahu 370 17 292 94 10 912
Swati Tiwari 343 8 280 87 17 854
Devesh Srivastava 453 8 281 91 26 1.1k
Neel S. Madhukar 503 2 239 205 27 1.1k
Quentin Vanhaelen 622 5 494 47 19 1.1k
Michael P. Menden 634 5 458 59 36 1.1k
Theodore Kee 147 42 112 87 17 771
Minjie Mou 637 15 276 40 30 889
Ana C. Puhl 474 5 356 40 46 982
Rani K. Powers 568 12 85 48 11 985
Matthias Zentgraf 497 5 451 36 14 899

All Works

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2026