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researcher

H. Caufield

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • q-bio.OT2
  • cs.DB1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedImproving Biomedical Knowledge Graph Quality: A Community Approach

3 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

q-bio.QM2025

Why we need all the organisms: an exploration of the Monarch knowledge graph to aid mechanism discovery

Katherina Cortes, Daniel Korn, Sarah Gehrke +12

Research done using model organisms has been fundamental to the biological understanding of human genes, diseases and phenotypes. Model organisms provide tractable systems for expe…

q-bio.OT2025

Standards in the Preparation of Biomedical Research Metadata: A Bridge2AI Perspective

Harry Caufield, Satrajit Ghosh, Sek Wong Kong +6

AI-readiness describes the degree to which data may be optimally and ethically used for subsequent AI and Machine Learning (AI/ML) methods, where those methods may involve some com…

cs.DB2025

Koza and Koza-Hub for born-interoperable knowledge graph generation using KGX

Daniel R Korn, Patrick Golden, Aaron Odell +10

Knowledge graph construction has become an essential domain for the future of biomedical research. But current approaches demand a high amount of redundant labor. These redundancie…

q-bio.OT2025★ 3 cited

Improving Biomedical Knowledge Graph Quality: A Community Approach

Katherina G Cortes, Shilpa Sundar, Sarah Gehrke +13

Biomedical knowledge graphs (KGs) are widely used across research and translational settings, yet their design decisions and implementation are often opaque. Unlike ontologies that…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.