Nicola Russo

EngineeringComputer 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 2 papers. Top paper: “Machine learning model leveraging SMILES-derived NMR spectroscopy data to predict dopamine D1 receptor antagonists: a prospective framework for forecasting the impact of engineered nanoparticles on the functionalities of small biomolecules”.

Machine learning model leveraging SMILES-derived NMR spectroscopy data to predict dopamine D1 receptor antagonists: a prospective framework for forecasting the impact of engineered nanoparticles on the functionalities of small biomolecules

ArXiv.org(2025)10.48550/arxiv.2501.14044

N/A

0DataRank · unranked

1 citations

Nichols, Michael, Nicola Russo, Mihaylov, Gueorgui, Konstantin Nikolić, Mariya L. Ivanova

Machine Learning - driven insights for predicting the impact of nanoparticles on the functionality of biomolecules, Illustrated by the case of DNA Damage-Inducible Transcript 3 (CHOP) inhibitors

ArXiv.org(2025)10.48550/arxiv.2504.09537

N/A

0DataRank · unranked

0 citations

Nicholls, Michael, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolić, Mariya L. Ivanova