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

Ling Teng

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: “An explainable machine learning platform for pyrazinamide resistance prediction and genetic feature identification of Mycobacterium tuberculosis”.

An explainable machine learning platform for pyrazinamide resistance prediction and genetic feature identification of Mycobacterium tuberculosis

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa233
N/A
0DataRank · unranked
22 citations

Ling Teng, Gil Alterovitz, Andrew Zhang

Cell-type-specific Alzheimer’s disease polygenic risk scores are associated with distinct disease processes in Alzheimer’s disease

Nature Communications(2023)10.1038/s41467-023-43132-2
N/A
0DataRank · unranked
40 citations

Ling Teng, Daniel W. Kang, Vilas Menon, Tian Ge, Hilary K. Finucane +12 more

Cell-type-specific Alzheimer’s disease polygenic risk scores are associated with distinct disease processes in Alzheimer’s disease

medRxiv(2023)10.1101/2023.06.01.23290850
N/A
0DataRank · unranked
4 citations

Ling Teng, Daniel W. Kang, Vilas Menon, Tian Ge, Hilary K. Finucane +12 more