🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Piero Procacci

University of Florence

ORCID: 0000-0003-2667-3847
Biochemistry, Genetics and Molecular BiologyPhysics and AstronomyComputer 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

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 3 papers. Top paper: “Characterization of the non-covalent interaction between the PF-07321332 inhibitor and the SARS-CoV-2 main protease”.

Characterization of the non-covalent interaction between the PF-07321332 inhibitor and the SARS-CoV-2 main protease

Journal of Molecular Graphics and Modelling(2022)10.1016/j.jmgm.2021.108042
N/A
0.578DataRank · unranked
46 citations

Marco Pagliai, Piero Procacci, Marina Macchiagodena

Binding free energy predictions in host-guest systems using Autodock4. A retrospective analysis on SAMPL6, SAMPL7 and SAMPL8 challenges

Journal of Computer-Aided Molecular Design(2021)10.1007/s10822-021-00388-4
N/A
0DataRank · unranked
17 citations

Piero Procacci, Lorenzo Casbarra

On the NS-DSSB unidirectional estimates in the SAMPL6 SAMPLing challenge

Journal of Computer-Aided Molecular Design(2021)10.1007/s10822-021-00419-0
N/A
0DataRank · unranked
7 citations

Marina Macchiagodena, Piero Procacci