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Benhamou Lab | Hebrew University of Jerusalem | Raphael Benhamou — 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
beatus-lab.org ↗	71 match 1 shared topics	Tsevi Beatus \| Hebrew University \| Insect flight	en	biological-sciences Wix	robots llmsaihumans	emailphone	none
spiegellab.org ↗	70 match 1 shared topics	Spiegel Lab at Yale University \| Home	en	biological-sciences Wix	robots llmsaihumans	emailphone	none
keolab.com ↗	69 match 1 shared topics	Keough Lab – Temperate marine ecology at the University of Melbourne	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
teveslab.com ↗	68 match 1 shared topics	Teves Lab – University of British Columbia	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
mbtoomey.net ↗	68 match 1 shared topics	Toomey Lab — Michigan State University	United States~ en	biological-sciences	robotsllmsaihumans	emailphone	none
davidtaylorlab.com ↗	68 match 1 shared topics	Taylor Lab – The University of Texas at Austin	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
mcguiganlab.org ↗	68 match 1 shared topics	McGuigan Lab – Dr Katrina McGuigan, The University of Queensland, Brisbane.	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
moranresearch.org ↗	68 match 1 shared topics	Moran Lab – Department of Marine Sciences, University of Georgia	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
zhouxglab.com ↗	67 match 1 shared topics	The Xiaogen Lab \| Zhejiang University Of Technology	en	biological-sciences	robotsllmsaihumans	emailphone	none
deleonlab.com ↗	67 match 1 shared topics	De León Lab – University of Massachusetts Boston - Home	United States~ en	biological-sciences Weebly	robotsllmsaihumans	emailphone	none
akabayov-lab.org ↗	67 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
morcoslaboratory.org ↗	66 match 1 shared topics	Morcos Lab – at the University of Texas at Dallas	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
kelsielopez.com ↗	66 match 1 shared topics	Kelsie Anne Lopez – Undergraduate Researcher \| Cornell University	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
waltilab.org ↗	66 match 1 shared topics	WaltiLab \| Arizona	en	biological-sciences Wix	robots llmsaihumans	emailphone	none
behavior-disease.com ↗	66 match 1 shared topics	Behavioral & Disease Ecology Lab – AG-Stockmaier at the University of Tennessee, Knoxville	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
moorearthropods.org ↗	66 match 1 shared topics	Moore Lab – Arthropod Systematics at the University of Arizona	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
adaptive-evolution.org ↗	66 match 1 shared topics	Adaptive Evolution \| The University of Melbourne	en	biological-sciences	robotsllmsaihumans	email phone	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.