Everlyne N. Nkadori

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: “Flower lose, a cell fitness marker, predicts COVID‐19 prognosis”.

Flower lose, a cell fitness marker, predicts COVID‐19 prognosis

EMBO Molecular Medicine(2021)10.15252/emmm.202013714

N/A

0DataRank · unranked

10 citations

Esha Madan, Jochen Wilhelm, Kirsty R. Short, Antonio Palma, Linbu Liao +38 more

Analysis of plasma DNA fragmentation patterns from dried blood spots

medRxiv(2024)10.1101/2024.12.22.24319522

N/A

0DataRank · unranked

2 citations

Elise C. Dietmann, Bradon R. McDonald, Everlyne N. Nkadori, Syed Nabeel Zafar, Stephanie M. McGregor +2 more

Multianalyte blood-based risk stratification of incidental pancreas lesions

medRxiv(2024)10.1101/2024.12.13.24318579

N/A

0DataRank · unranked

0 citations

Michelle D. Stephens, Bradon R. McDonald, Nabeel Merali, Elise C. Dietmann, Stephanie M. McGregor +15 more

Inferring blood volume collected on plasma-separating dried blood spots using mass and image analysis

medRxiv(2025)10.64898/2025.11.28.25341240

N/A

0DataRank · unranked

0 citations

Michelle D. Stephens, Olivia K. Krebs, Everlyne N. Nkadori, Judy Wang, Bradon R. McDonald +4 more