Erwin Cabacungan

Defence Research and Development Organisation

ORCID: 0000-0003-1927-3044

Also affiliated with Medical College of Wisconsin

MedicinePharmacology, Toxicology and Pharmaceutics

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: “Machine learning risk stratification for high-risk infant follow-up of term and late preterm infants”.

Machine learning risk stratification for high-risk infant follow-up of term and late preterm infants

Pediatric Research(2024)10.1038/s41390-024-03338-6

N/A

0.281DataRank · unranked

4 citations

Jiän Zhang, Erwin Cabacungan, Sofia Herrera, Jennifer I. Koop, Ke Yan +2 more

Quality improvement for reducing utilization drift in hypoxic-ischemic encephalopathy management

Journal of Perinatal Medicine(2020)10.1515/jpm-2020-0095

N/A

0DataRank · unranked

11 citations

Erwin Cabacungan, Samuel J. Adams, Susan Cohen, Katherine Carlton