Cecilia Clementi

Biochemistry, Genetics and Molecular BiologyMaterials SciencePhysics 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

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Machine learning coarse-grained potentials of protein thermodynamics”.

Machine learning coarse-grained potentials of protein thermodynamics

Nature Communications(2023)10.1038/s41467-023-41343-1

N/A

0DataRank · unranked

117 citations

Adrià Pérez, Philipp Thölke, Stefan H. Doerr, Nicholas E. Charron, Toni Giorgino +5 more

EnGens: a computational framework for generation and analysis of representative protein conformational ensembles

Briefings in Bioinformatics(2023)10.1093/bib/bbad242

N/A

0DataRank · unranked

23 citations

Maurício Rigo, Didier Devaurs, André Faustino Fonseca, Hussain Kalavadwala, Martiela Vaz de Freitas +5 more

EnGens: a computational framework for generation and analysis of representative protein conformational ensembles

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.24.538094

N/A

0DataRank · unranked

1 citations

Maurício Rigo, Didier Devaurs, André Faustino Fonseca, Hussain Kalavadwala, Martiela Vaz de Freitas +5 more