Standout Papers

Molecular representations in AI-driven drug discovery: a review and practical guide 2020 2026 2022 2024310
  1. Molecular representations in AI-driven drug discovery: a review and practical guide (2020)
    Amol Thakkar, Rocío Mercado et al. Journal of Cheminformatics

Immediate Impact

12 from Science/Nature 62 standout
Sub-graph 1 of 24

Citing Papers

Large Language Models lack essential metacognition for reliable medical reasoning
2025 Standout
Artificial intelligence in drug development
2025 Standout
12 intermediate papers

Works of Amol Thakkar being referenced

Retrosynthetic accessibility score (RAscore) – rapid machine learned synthesizability classification from AI driven retrosynthetic planning
2021
AI-assisted synthesis prediction
2019
and 5 more

Author Peers

Author Last Decade Papers Cites
Amol Thakkar 604 521 393 15 846
Jike Wang 683 423 602 52 973
Artur Kadurin 616 436 487 9 859
Christos A. Nicolaou 626 273 492 29 877
Valery Tkachenko 430 197 457 18 951
Lukas Friedrich 552 306 477 24 866
Wen Torng 677 326 607 7 986
Hirotomo Moriwaki 556 346 367 8 978
Richard Marchese Robinson 311 344 200 23 823
Rafał Roszak 282 427 261 26 857
Vladimir Aladinskiy 411 293 341 17 726

All Works

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Rankless by CCL
2026