Jane Lewis Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

Last publication 2025 Last refreshed 2026-04-18

faculty

29 h-index 88 pubs 2,487 cited

Biography and Research Information

OverviewAI-generated summary

Jane Lewis's research interests encompass a range of topics, including the analysis of paralytic shellfish toxins, the study of coronaviral diversity in mammalian populations, and the investigation of domestication signals in North American raccoons through citizen science data. Her work on paralytic shellfish toxins, as detailed in a 2021 publication, focuses on their value in chemotaxonomic analysis and their relationship with experimentally contaminated shellfish.

In the realm of virology, Lewis has investigated the coronaviral landscape across various mammalian species in the Northeastern United States, contributing to a broader understanding of viral evolution and host interactions. Furthermore, her research extends to animal behavior and genetics, with a publication in 2025 examining domestication signals in raccoons utilizing citizen science-driven image repositories. This interdisciplinary approach highlights her engagement with diverse biological and data-driven research methodologies.

Lewis holds a significant academic profile with an h-index of 29 and has authored 88 publications, accumulating over 2,484 citations. She is recognized as a highly cited researcher. Her recent collaborations include shared publications with Raffaela Lesch, Ciara Dwyer, Óscar Zúñiga, and Sascha Dreher, all from the University of Arkansas at Little Rock, indicating an active network within her institution. Lewis maintains an active laboratory website and has been recently active in research.

Metrics

  • h-index: 29
  • Publications: 88
  • Citations: 2,487

Selected Publications

  • Tracking domestication signals across populations of North American raccoons (Procyon lotor) via citizen science-driven image repositories (2025)

View all publications on OpenAlex →

Collaboration Network

51 Collaborators 9 Institutions 2 Countries

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