Match tier Listed
Presence Current · Arkansas
Last published 2023
Sources OpenAlex · ORCID
Refreshed 2026-08-17

Meng Song

Researcher

Also affiliated: United States Food and Drug Administration (2023)

Graduate Student Researcher

1 h-index 1 pubs 1 cited

Biography and Research Information

OverviewAI-generated summary

Meng Song's research contributes to the development of computational tools for toxicological assessment. Song is the author of a 2023 publication introducing EADB, a database designed to aid in the creation of Quantitative Structure-Activity Relationship (QSAR) models for evaluating endocrine activity. This work is supported by collaborations with researchers at the National Center for Toxicological Research, including Tucker A. Patterson, Fan Dong, and Zoe Li, with whom Song has co-authored publications. Song's scholarly profile includes an h-index of 1 and a total of 1 publication with 1 citation.

Metrics

  • h-index: 1
  • Publications: 1
  • Citations: 1

Selected Publications

  • EADB—A database providing curated data for developing QSAR models to facilitate the assessment of endocrine activity (2023)
    Elsevier eBooks 1 citation DOI OpenAlex

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Collaboration Network

8 Collaborators 2 Institutions 1 Country

Top Collaborators

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