Debangshu Mukherjee

Materials ScienceBiochemistry, 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 2 papers. Top paper: “Deep Learning on Multimodal Chemical and Whole Slide Imaging Data for Predicting Prostate Cancer Directly from Tissue Images”.

Deep Learning on Multimodal Chemical and Whole Slide Imaging Data for Predicting Prostate Cancer Directly from Tissue Images

Journal of the American Society for Mass Spectrometry(2023)10.1021/jasms.2c00254

N/A

0.416DataRank · unranked

15 citations

Debangshu Mukherjee, Sylwia A. Stopka, Nathalie Y.R. Agar, Jacob Hinkle, Olga S. Ovchinnikova +1 more

Deep Learning on Multimodal Chemical and Whole Slide Imaging Data for Predicting Prostate Cancer Directly from Tissue Images

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.05.11.491570

N/A

0DataRank · unranked

0 citations

Debangshu Mukherjee, Sylwia A. Stopka, Nathalie Y.R. Agar, Jacob Hinkle, Olga S. Ovchinnikova +1 more