Jonathan Dekermanjian

MedicineBiochemistry, 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 4 papers. Top paper: “Who has long-COVID? A big data approach”.

Who has long-COVID? A big data approach

medRxiv(2021)10.1101/2021.10.18.21265168

N/A

0DataRank · unranked

2 citations

Andrew T. Girvin, Tellen D. Bennett, Abhishek Bhatia, Ian M. Brooks, Rachel R Deer +10 more

Identifying who has long COVID in the USA: a machine learning approach using N3C data

The Lancet Digital Health(2022)10.1016/s2589-7500(22)00048-6

N/A

0DataRank · unranked

275 citations

Andrew T. Girvin, Tellen D. Bennett, Abhishek Bhatia, Ian M. Brooks, Rachel R Deer +18 more

Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics

BMC Bioinformatics(2022)10.1186/s12859-022-04659-1

N/A

0DataRank · unranked

32 citations

Elin Shaddox, Debmalya Nandy, Debashis Ghosh, Katerina Kechris, Jonathan Dekermanjian

Interstage Single Ventricle Heart Disease Infants Show Dysregulation in Multiple Metabolic Pathways

JACC Advances(2023)10.1016/j.jacadv.2022.100169

N/A

0DataRank · unranked

12 citations

Ludmila Khailová, Jonathan Dekermanjian, Max B. Mitchell, Gareth J. Morgan, Mark Twite +5 more