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

Cassidy S. Nordmann

Cornell University

ORCID: 0009-0003-7090-2165

Biochemistry, Genetics and Molecular BiologyEngineeringMedicine

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 learning, 3D ultrastructural analysis reveals quantitative differences in platelet and organelle packing in COVID-19/SARSCoV2 patient-derived platelets”.

Deep learning, 3D ultrastructural analysis reveals quantitative differences in platelet and organelle packing in COVID-19/SARSCoV2 patient-derived platelets

Platelets(2023)10.1080/09537104.2023.2264978

N/A

0.312DataRank · unranked

7 citations

Cassidy S. Nordmann, Kurtis R. Ottman, Rahul R. Akkem, Douglas J. Palumbo, Denzel R. D. Cruz +16 more

Identification of CD44 as a key mediator of cell traction force generation in hyaluronic acid-rich extracellular matrices

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.24.563860

N/A

0DataRank · unranked

4 citations

Xingyu Chen, Hannah J. Davis, Cassidy S. Nordmann, Joshua Toth, Louis Hodgson +4 more

Identification of CD44 as a key engager to hyaluronic acid-rich extracellular matrices for cell traction force generation and tumor invasion in 3D

Matrix Biology(2024)10.1016/j.matbio.2024.11.004

N/A

0DataRank · unranked

25 citations

Xingyu Chen, Hannah J. Davis, Cassidy S. Nordmann, Joshua Toth, Louis Hodgson +4 more