Olivia L. Riedling

MedicineBiochemistry, Genetics and Molecular BiologyAgricultural and Biological Sciences

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 5 papers. Top paper: “Predicting fungal secondary metabolite activity from biosynthetic gene cluster data using machine learning”.

Predicting fungal secondary metabolite activity from biosynthetic gene cluster data using machine learning

Microbiology Spectrum(2024)10.1128/spectrum.03400-23

N/A

0.762DataRank · unranked

37 citations

Allison S. Walker, Antonis Rokas, Olivia L. Riedling

Extreme genome diversity and cryptic speciation in a harmful algal-bloom-forming eukaryote

Current Biology(2023)10.1016/j.cub.2023.05.003

N/A

0DataRank · unranked

26 citations

Robert Auber, Amanda L. Pendleton, Nathan F. Watervoort, Timothy Fallon, Olivia L. Riedling +4 more

Predicting fungal secondary metabolite activity from biosynthetic gene cluster data using machine learning

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.09.12.557468

N/A

0DataRank · unranked

4 citations

Allison S. Walker, Antonis Rokas, Olivia L. Riedling

Global patterns of species diversity and distribution in the biomedically and biotechnologically important fungal genus Aspergillus

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.11.29.626055

N/A

0DataRank · unranked

4 citations

Kyle T. David, Antonis Rokas, Olivia L. Riedling

Global patterns of diversity and distribution in Aspergillus fungi are driven by human and environmental influences

Current Biology(2025)10.1016/j.cub.2025.07.081

N/A

0DataRank · unranked

5 citations

Kyle T. David, Antonis Rokas, Olivia L. Riedling