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

Rita Sianga-Mete

University of Cape Town

ORCID: 0000-0001-6626-4007
Environmental ScienceAgricultural and Biological SciencesBiochemistry, Genetics and Molecular Biology

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: “Viral genome sequence datasets display pervasive evidence of strand-specific substitution biases that are best described using non-reversible nucleotide substitution models”.

Viral genome sequence datasets display pervasive evidence of strand-specific substitution biases that are best described using non-reversible nucleotide substitution models

Research Square(2022)10.21203/rs.3.rs-2407778/v1
N/A
0DataRank · unranked
2 citations

Penelope Hartnady, Wimbai Caroline Mandikumba, Kayleigh D. Rutherford, Christopher Brian Currin, Florence Phelanyane +4 more

Viral genome sequence datasets display pervasive evidence of strand-specific substitution biases that are best described using non-reversible nucleotide substitution models

eLife(2023)10.7554/elife.87361
N/A
0DataRank · unranked
0 citations

Penelope Hartnady, Wimbai Caroline Mandikumba, Kayleigh D. Rutherford, Christopher Brian Currin, Florence Phelanyane +5 more

Viral genome sequence datasets display pervasive evidence of strand-specific substitution biases that are best described using non-reversible nucleotide substitution models

Research Square(2025)10.21203/rs.3.rs-2407778/v2
N/A
0DataRank · unranked
0 citations

Penelope Hartnady, Wimbai Caroline Mandikumba, Kayleigh D. Rutherford, Christopher Brian Currin, Florence Phelanyane +4 more