Standout Papers

Analyzing Learned Molecul... 2019 2026 2021 2023 2019 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Analyzing Learned Molecular Representations for Property Prediction
    2019 1.1k citations Kevin Yang, Kyle Swanson et al. Journal of Chemical Information and Modeling profile →

Immediate Impact

5 by Nobel laureates 31 from Science/Nature 54 hit
Sub-graph 1 of 22

Citing Papers

CatPred: a comprehensive framework for deep learning in vitro enzyme kinetic parameters
2025 Hit
The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies
2025 HitNature
1 intermediate paper

Works of Hua Gao being referenced

Analyzing Learned Molecular Representations for Property Prediction
2019 Hit
Correction to Analyzing Learned Molecular Representations for Property Prediction
2019

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hua Gao 1.8k 1.5k 985 742 705 174 4.4k
Nicholas Bodor 951 0.5× 2.3k 1.5× 479 0.5× 1.5k 2.0× 138 0.2× 316 7.1k
Bruno O. Villoutreix 2.3k 1.3× 3.9k 2.5× 441 0.4× 902 1.2× 450 0.6× 221 8.5k
M. C. Berenbaum 365 0.2× 1.7k 1.1× 710 0.7× 298 0.4× 293 0.4× 100 6.0k
Defang Ouyang 808 0.4× 1.4k 0.9× 727 0.7× 398 0.5× 124 0.2× 138 4.3k
Keith W. Ward 2.4k 1.3× 3.5k 2.3× 194 0.2× 2.6k 3.5× 352 0.5× 67 8.3k
Rakesh Kumar Tekade 482 0.3× 3.5k 2.3× 1.3k 1.3× 660 0.9× 291 0.4× 159 8.2k
Susan L. McGovern 1.1k 0.6× 2.3k 1.5× 326 0.3× 605 0.8× 787 1.1× 127 5.5k
Jian Wang 585 0.3× 4.5k 2.9× 493 0.5× 1.2k 1.6× 160 0.2× 385 8.5k
Chu Wang 597 0.3× 6.4k 4.1× 1.3k 1.3× 2.0k 2.7× 718 1.0× 242 9.6k
Léonardo Scapozza 519 0.3× 3.6k 2.3× 352 0.4× 818 1.1× 459 0.7× 187 7.3k

All Works

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Rankless by CCL
2026