Richard Oppong

National Human Genome Research Institute

Biochemistry, Genetics and Molecular BiologyNeuroscience

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 4 papers. Top paper: “Predicting physiological aging rates from a range of quantitative traits using machine learning”.

Predicting physiological aging rates from a range of quantitative traits using machine learning

Aging(2021)10.18632/aging.203660

N/A

0.637DataRank · unranked

15 citations

Yong Qian, Richard Oppong, Thomas Bütler, Jesse Zhao, Chen, Brian +12 more

Personality traits are consistently associated with blood mitochondrial DNA copy number estimated from genome sequences in two genetic cohort studies

eLife(2022)10.7554/elife.77806

N/A

0DataRank · unranked

16 citations

Antonio Terracciano, Martin Picard, Yong Qian, Thomas Bütler, Toshiko Tanaka +14 more

Personality traits are consistently associated with blood mitochondrial DNA copy number estimated from genome sequences in two genetic cohort studies

medRxiv(2022)10.1101/2022.06.04.22275970

N/A

0DataRank · unranked

2 citations

Antonio Terracciano, Martin Picard, Yong Qian, Thomas Bütler, Toshiko Tanaka +14 more

Uncovering Genetic Variation in Systemic Lupus Erythematosus Risk Variants in Indigenous Peruvians

ACR Open Rheumatology(2025)10.1002/acr2.70053

N/A

0DataRank · unranked

2 citations

Richard Oppong, Mary Horton, Víctor Borda, Manuel F. Ugarte‐Gil, Joanne Nititham +5 more