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A research team at the Department of Biological Sciences and Centre for Deep-Sea Research, University of Bergen (Norway) — 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
suttonlab.com ↗	70 match 2 shared topics	Sutton Lab – at Texas Tech University Health Sciences Center	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
conservationscience.org.au ↗	69 match 2 shared topics	Conservation Science – at The University of Melbourne	AU en	science WordPress	robotsllmsaihumans	emailphone	none
polidoro-swatlab.com ↗	68 match 2 shared topics	The Polidoro Lab has moved to Maryland! – University of Maryland Center for Environmental Science (UMCES)	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
dioscuricentrebacteria.com ↗	68 match 2 shared topics	Dioscuri Centre for Physics and Chemistry of Bacteria – Experimental and theoretical research on the population dynamics and evolution of bacteria	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
zurixsciences.com ↗	68 match 2 shared topics	Zurix Sciences \| Premium Research Compounds	en	science	robotsllmsaihumans	emailphone	none
abcresearch.net ↗	67 match 2 shared topics	Archives of Basic and Clinical Research	en	science	robotsllmsaihumans	emailphone	none
luxxeraresearch.com ↗	67 match 2 shared topics	Luxx Era Research — Premium Research Peptides	en	science	robots llmsaihumans	emailphone	none
utilenotu.com ↗	66 match 2 shared topics	utile notu – A science blog dedicated to the union of language and biology	en	science WordPress WooCommerce	robotsllmsaihumans	emailphone	none
baxterbiosciencegrants.com ↗	66 match 2 shared topics	ConductScience - Scientific Equipment & Research Tools \| ConductScience	US~ en	science WordPress	robotsllmsaihumans	email phone	none
diagnosticinformation.org ↗	66 match 2 shared topics	ConductScience - Scientific Equipment & Research Tools \| ConductScience	US~ en	science WordPress	robotsllmsaihumans	email phone	none
uptownmarketplaceaugusta.com ↗	66 match 2 shared topics	Research Peptides \| Laboratory Research Materials	en	biological-sciences	robotsllmsaihumans	emailphone	none
nanoforneuro.com ↗	66 match 2 shared topics	ConductScience - Scientific Equipment & Research Tools \| ConductScience	US~ en	science WordPress	robotsllmsaihumans	email phone	none
platoonhealth.com ↗	66 match 2 shared topics	ConductScience - Scientific Equipment & Research Tools \| ConductScience	US~ en	science WordPress	robotsllmsaihumans	email phone	none
symbiolifesciences.com ↗	66 match 2 shared topics	ConductScience - Scientific Equipment & Research Tools \| ConductScience	US~ en	science WordPress	robotsllmsaihumans	email phone	none
abmsciences.org ↗	66 match 2 shared topics	ABMS — Association of Basic Medical Sciences	en	biological-sciences	robots llmsaihumans	emailphone	none
salkinstitute.com ↗	66 match 2 shared topics	Salk Institute for Biological Studies	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
aaba.org ↗	66 match 2 shared topics	AABA \| American Association of Biological Anthropologists	en	biological-sciences WordPress	robotsllmsaihumans	email phone	none
deppmannlab.com ↗	66 match 2 shared topics	Deppmann Lab \| University of Virginia	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.