Immediate Impact

1 by Nobel laureates 2 from Science/Nature 56 standout
Sub-graph 1 of 23

Citing Papers

Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment
2025 Standout
Artificial intelligence in drug development
2025 Standout
3 intermediate papers

Works of Maha A. Thafar being referenced

Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning
2022
Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities
2019
and 1 more

Author Peers

Author Last Decade Papers Cites
Maha A. Thafar 431 279 56 80 25 615
Somayah Albaradei 336 247 57 78 23 528
Kaitlyn Gayvert 364 241 35 85 18 570
Jiangming Sun 385 176 45 92 49 672
Zhaorong Li 413 167 85 39 17 575
Samson Fong 481 209 94 63 11 723
Yuqi Wen 391 201 54 57 48 535
Jongsun Jung 392 125 65 94 24 689
Tianyi Zang 533 225 97 61 40 711
Peiran Jiang 349 114 50 40 12 533
Stefan Naulaerts 359 163 64 36 22 650

All Works

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Rankless by CCL
2026