Elizabeth C. Randall

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 5 papers. Top paper: “Spatial Distribution of Transcytosis Relevant Phospholipids in Response to Omega-3 Dietary Deprivation”.

Spatial Distribution of Transcytosis Relevant Phospholipids in Response to Omega-3 Dietary Deprivation

ACS Chemical Biology(2020)10.1021/acschembio.0c00779

N/A

0DataRank · unranked

3 citations

Elizabeth C. Randall, Begoña Giménez, Michael S. Regan, Jeffrey N. Agar, Benjamin J. Andreone +3 more

Peak learning of mass spectrometry imaging data using artificial neural networks

Nature Communications(2021)10.1038/s41467-021-25744-8

N/A

0DataRank · unranked

100 citations

Begona G. C. Lopez, Elizabeth C. Randall, Tina Kapur, Jann N. Sarkaria, Forest M. White +4 more

Interim clinical trial analysis of intraoperative mass spectrometry for breast cancer surgery

npj Breast Cancer(2021)10.1038/s41523-021-00318-5

N/A

0DataRank · unranked

24 citations

Sylwia A. Stopka, Walid M. Abdelmoula, Elizabeth C. Randall, Begoña Giménez, Michael S. Regan +9 more

Multimodal platform for assessing drug distribution and response in clinical trials

Neuro-Oncology(2021)10.1093/neuonc/noab197

N/A

0DataRank · unranked

14 citations

Ishwar N. Kohale, Ziming Du, Ilya Korsunsky, Walid M. Abdelmoula, Yang Dai +23 more

massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation

Bioinformatics(2022)10.1093/bioinformatics/btac032

N/A

0DataRank · unranked

30 citations

Sylwia A. Stopka, Elizabeth C. Randall, Michael S. Regan, Jeffrey N. Agar, Jann N. Sarkaria +4 more