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

Roujia Wang

Merck & Co., Inc., Rahway, NJ, USA (United States)

ORCID: 0000-0002-4081-4098

Also affiliated with United States Military Academy

Biochemistry, Genetics and Molecular BiologyChemistry

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: “Quantitative assessment of distant recurrence risk in early stage breast cancer using a nonlinear combination of pathological, clinical and imaging variables”.

Quantitative assessment of distant recurrence risk in early stage breast cancer using a nonlinear combination of pathological, clinical and imaging variables

Journal of Biophotonics(2020)10.1002/jbio.201960235

N/A

0DataRank · unranked

1 citations

Erika Chelales, Roujia Wang, Amanda Schulman, Jennifer E. Gallagher, Rachel A. Greenup +6 more

In Vivo Optical Metabolic Imaging of Long-Chain Fatty Acid Uptake in Orthotopic Models of Triple-Negative Breast Cancer

Cancers(2021)10.3390/cancers13010148

N/A

0DataRank · unranked

32 citations

Joy E. Duer, Joyce V. Lee, Jeremy Williams, Barış Avşaroğlu, Caigang Zhu +7 more

A color‐based tumor segmentation method for clinical ex vivo breast tissue assessment utilizing a multi‐contrast brightfield imaging strategy

Journal of Biophotonics(2024)10.1002/jbio.202300241

N/A

0DataRank · unranked

2 citations

Lillian Ekem, Jennifer E. Gallagher, Rachel E. Factor, Allison Hall, Nirmala Ramanujam +1 more