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

Parisa Fasihianifard

University of California, Riverside

ORCID: 0000-0003-2075-3184
Biochemistry, Genetics and Molecular BiologyChemistryMaterials ScienceComputer 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: “Sampling Conformational Ensembles of Highly Dynamic Proteins via Generative Deep Learning”.

Sampling Conformational Ensembles of Highly Dynamic Proteins via Generative Deep Learning

Research Square(2024)10.21203/rs.3.rs-4301803/v1
N/A
0DataRank · unranked
0 citations

Talant Ruzmetov, Ta I Hung, Saisri Padmaja Jonnalagedda, Sihan Chen, Parisa Fasihianifard +3 more

Sampling Conformational Ensembles of Highly Dynamic Proteins via Generative Deep Learning

Journal of Chemical Information and Modeling(2025)10.1021/acs.jcim.4c01838
N/A
0DataRank · unranked
12 citations

Ta I Hung, Saisri Padmaja Jonnalagedda, Sihan Chen, Parisa Fasihianifard, Zhefeng Guo +3 more