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researcher

Sarah Gehrke

4 papers hereh-index 441 citations8 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DB2
  • q-bio.OT1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedLinkML: An Open Data Modeling Framework

5 citations · 5 across the 1 of their papers we have counts for

collaborators

4 papers

cs.DB2026★ 5 cited

LinkML: An Open Data Modeling Framework

Sierra A. T. Moxon, Harold Solbrig, Nomi L. Harris +33

Scientific research relies on well-structured, standardized data; however, much of it is stored in formats such as free-text lab notebooks, non-standardized spreadsheets, or data r…

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…

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

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.