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

Alessandro Pandini

Thomas Young Centre

ORCID: 0000-0002-4158-233X

Also affiliated with Brunel University of London

Biochemistry, Genetics and Molecular BiologyComputer ScienceMaterials 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: Machine Learning Prediction of Allosteric Drug Activity from Molecular Dynamics.

N/A
0.624DataRank · unranked
63 citations

Elisabetta Moroni, Alessandro Pandini, Giorgio Colombo, Filippo Marchetti

17 citations

Sayan Gupta, Alessandro Pandini, Yan Chen, Christopher J. Petzold, Corie Y. Ralston +3 more

16 citations

Jessica Y. Tyson, Sarath Chandra Dantu, Saima Rehman, Richard C. White, Ian E. McIntire +7 more