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The Rafting Monkey – Meanders of a paleomammalogist in South America — 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
aoh.rocks ↗	64 match 1 shared topics	Amelia O. Harrison \| Viral ecologist & research assistant in Eric Wommack’s viral ecology lab @ UD.	en	biological-sciences	robotsllmsaihumans	emailphone	none
roamingecologist.com ↗	64 match 1 shared topics	The Roaming Ecologist	en	biological-sciences Squarespace Squarespace Commerce	robotsllmsaihumans	emailphone	none
americanarachnology.org ↗	63 match 1 shared topics	Home: AAS \| American Arachnological Society	en	biological-sciences TYPO3	robotsllmsaihumans	emailphone	none
rockestate.com ↗	63 match 1 shared topics	Explore the Wonders of Marine Biology: Latest News and Insights	en	biological-sciences	robotsllmsaihumans	emailphone	none
jeffreyrthompson.com ↗	63 match 1 shared topics	Dr. Jeffrey R Thompson – Paleobiology, Macroevolution, Developmental Evolution	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
thegreenleaflet.com ↗	63 match 1 shared topics	The Green Leaflet – Read plant stories with a Dutch flavor.	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
theg-cat.com ↗	63 match 1 shared topics	The G-cat – Dive head-first into the science of conservation, ecology, evolution and genetics	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
quinnmccallum.com ↗	62 match 1 shared topics	Quinn McCallum – Evolutionary Biologist and Illustrator	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
pythonforbiologists.com ↗	62 match 1 shared topics	Python for biologists – python for biologists	en	biological-sciences	robotsllmsaihumans	emailphone	none
blackmicrobiologistsassociation.org ↗	62 match 1 shared topics	Black Microbiologists Association: Moving Microbiology Forward	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
azd2281.com ↗	62 match 1 shared topics	Online Inhibitor – papers about Inhibitor	en	biological-sciences	robotsllmsaihumans	emailphone	none
kxuelab.com ↗	62 match 1 shared topics	Xue lab at UC Irvine – Ecology and evolution in the human gut microbiome	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
mcguiganlab.org ↗	62 match 1 shared topics	McGuigan Lab – Dr Katrina McGuigan, The University of Queensland, Brisbane.	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
mdwasserman.com ↗	62 match 1 shared topics	Primate Environmental Endocrinology Laboratory – PEEL	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
kyleayoung.com ↗	62 match 1 shared topics	Kyle A Young \| Ecology Evolution Conservation	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
rodica-plaiasu.com ↗	62 match 1 shared topics	Rodica Plaiasu - Researcher Personal Webpage \| Rodica Plaiasu	en	biological-sciences	robotsllmsaihumans	emailphone	none
thehayeslab.com ↗	62 match 1 shared topics	The Hayes Lab – Home of the behavior ecology and venom lab.	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
meeklab.org ↗	62 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

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.