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Drew R. Davis, Ph.D. – Eastern New Mexico University — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Biological Sciences →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
kelsielopez.com ↗	67 match 1 shared topics	Kelsie Anne Lopez – Undergraduate Researcher \| Cornell University	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
keolab.com ↗	67 match 1 shared topics	Keough Lab – Temperate marine ecology at the University of Melbourne	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
kelseyyule.com ↗	67 match 1 shared topics	Kelsey M. Yule, PhD – biodiversity data science	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
mbtoomey.net ↗	67 match 1 shared topics	Toomey Lab — Michigan State University	United States~ en	biological-sciences	robotsllmsaihumans	emailphone	none
meeklab.org ↗	66 match 1 shared topics	The Meek Lab – Conservation Genomics at Michigan State University – Conservation, molecular ecology, and fishy stuff	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
khuffordlab.com ↗	66 match 1 shared topics	Restoration Ecology and Genetics University of Wyoming - Home	en	biological-sciences Weebly	robotsllmsaihumans	emailphone	none
teveslab.com ↗	66 match 1 shared topics	Teves Lab – University of British Columbia	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
mcguiganlab.org ↗	66 match 1 shared topics	McGuigan Lab – Dr Katrina McGuigan, The University of Queensland, Brisbane.	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
kevinburnslab.com ↗	66 match 1 shared topics	Kevin J. Burns Lab \| Ornithology and Evolutionary Biology at San Diego State University	United States~ en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
the-clark-lab.com ↗	66 match 1 shared topics	Clark Lab \| Oregon State University	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
behavior-disease.com ↗	65 match 1 shared topics	Behavioral & Disease Ecology Lab – AG-Stockmaier at the University of Tennessee, Knoxville	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
deleonlab.com ↗	65 match 1 shared topics	De León Lab – University of Massachusetts Boston - Home	United States~ en	biological-sciences Weebly	robotsllmsaihumans	emailphone	none
kevinweitemier.com ↗	65 match 1 shared topics	Kevin Weitemier, Ph.D.	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
deskalab.com ↗	65 match 1 shared topics	Jan Deska – Synthetic Biocatalysis – University of Helsinki, Finland	en	biological-sciences Wix	robots llmsaihumans	emailphone	none
akabayov-lab.org ↗	65 match 1 shared topics	AKABAYOV RESEARCH LABORATORY – Department of Chemistry, Ben-Gurion University of the Negev \| המחלקה לכימיה, אוניברסיטת בן-גוריון בנגב	en	biological-sciences WordPress	robotsllmsaihumans	email phone	none
marine-molecular-biology.group ↗	65 match 1 shared topics	Marine Molecular Biology Group – at James Cook University	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
mcb-seattle.edu ↗	65 match 1 shared topics	Molecular & Cellular Biology Graduate Program - University of Washington	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
neodiversity.org ↗	64 match 1 shared topics	Neodiversity	en	biological-sciences	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.