Madeleine Lu

Medicine

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: “Deep ensemble learning enables highly accurate classification of stored red blood cell morphology”.

Deep ensemble learning enables highly accurate classification of stored red blood cell morphology

Scientific Reports(2023)10.1038/s41598-023-30214-w

N/A

0.929DataRank · unranked

18 citations

Natalia Yang, Nathaniel Z. Piety, Madeleine Lu, Sergey S. Shevkoplyas, Austin H. Routt

Concurrent Assessment of Deformability and Adhesiveness of Sickle Red Blood Cells by Measuring Perfusion of an Adhesive Artificial Microvascular Network

Frontiers in Physiology(2021)10.3389/fphys.2021.633080

N/A

0.355DataRank · unranked

7 citations

Celeste K. Kanne, Riley C. Reddington, Dalia L. Lezzar, Vivien Sheehan, Sergey S. Shevkoplyas +1 more

A high-throughput microfluidic device based on controlled incremental filtration to enable centrifugation-free, low extracorporeal volume leukapheresis

Scientific Reports(2022)10.1038/s41598-022-16748-5

N/A

0DataRank · unranked

16 citations

Fong Lam, Ravin Huerta, Anton Mukhamedshin, Madeleine Lu, Sergey S. Shevkoplyas +1 more