Rishal Aggarwal

Computer ScienceBiochemistry, Genetics and Molecular BiologyMaterials ScienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 6 papers. Top paper: “BigBind: Learning from Nonstructural Data for Structure-Based Virtual Screening”.

BigBind: Learning from Nonstructural Data for Structure-Based Virtual Screening

ChemRxiv(2022)10.26434/chemrxiv-2022-3qc9t-v2

N/A

0DataRank · unranked

3 citations

Paul Francoeur, Rishal Aggarwal, Konstantin I. Popov, David Ryan Koes, Alexander Tropsha +1 more

BigBind: Learning from Nonstructural Data for Structure-Based Virtual Screening

ChemRxiv(2023)10.26434/chemrxiv-2022-3qc9t-v3

N/A

0DataRank · unranked

1 citations

Paul Francoeur, Rishal Aggarwal, Konstantin I. Popov, David Ryan Koes, Alexander Tropsha +1 more

PharmRL: pharmacophore elucidation with deep geometric reinforcement learning

BMC Biology(2024)10.1186/s12915-024-02096-5

N/A

0DataRank · unranked

8 citations

David Ryan Koes, Rishal Aggarwal

PharmRL: Pharmacophore elucidation with Deep Geometric Reinforcement Learning

Research Square(2024)10.21203/rs.3.rs-5033986/v1

N/A

0DataRank · unranked

2 citations

David Ryan Koes, Rishal Aggarwal

GNINA 1.3: the next increment in molecular docking with deep learning

Journal of Cheminformatics(2025)10.1186/s13321-025-00973-x

N/A

0DataRank · unranked

112 citations

Yanjing Li, Rocco Meli, Rishal Aggarwal, David Ryan Koes, Andrew T. McNutt

PharmacoForge: Pharmacophore Generation with Diffusion Models

ChemRxiv(2025)10.26434/chemrxiv-2025-dz765

N/A

0DataRank · unranked

0 citations

Riya Shah, Ian Dunn, Rishal Aggarwal, David Ryan Koes, Emma Flynn