Stefano Piotto

ORCID: 0000-0002-3102-1918

Computer ScienceBiochemistry, Genetics and Molecular BiologyMaterials Science

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: “A semiempirical and machine learning approach for fragment-based structural analysis of non-hydroxamate HDAC3 inhibitors”.

A semiempirical and machine learning approach for fragment-based structural analysis of non-hydroxamate HDAC3 inhibitors

Biophysical Chemistry(2025)10.1016/j.bpc.2025.107409

N/A

0.165DataRank · unranked

2 citations

Lucia Sessa, Rajdip Tarafdar, Shovanlal Gayen, Stefano Piotto, Sk. Abdul Amin

A battleship between hydroxamates versus non-hydroxamates: Exploring semi-empirical quantum properties, chemical space network, activity landscape, scaffold diversity of HDAC3 inhibitors to improve memory and learning

Journal of Molecular Graphics and Modelling(2026)10.1016/j.jmgm.2025.109199

N/A

0DataRank · unranked

0 citations

Chaitali Mallick, Simona Concilio, Shovanlal Gayen, Stefano Piotto, Sk. Abdul Amin +1 more