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Christian Drerup – Fellow by Examination | Magdalen College, Oxford — 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
charkoudianlab.com ↗	64 match 1 shared topics	The Charkoudian Lab – at Haverford College	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
robertacanton.com ↗	64 match 1 shared topics	Roberta Canton \| I study evolution of plumage coloration	en	biological-sciences	robotsllmsaihumans	emailphone	none
heymrshupediggs.com ↗	63 match 1 shared topics	Hey Mr. Shupe-Diggs! – International Man of Mystery	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
heteroptera.org ↗	63 match 1 shared topics	IHS – Internationa Heteropterists' Society	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
changliulab.com ↗	63 match 1 shared topics	Chang Liu Team -- Tree cell wall formation and wall signal Group	en	biological-sciences	robotsllmsaihumans	emailphone	none
abalonedb.org ↗	63 match 1 shared topics	Abalomics Community Portal – Powering Collaborations	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
christophernanderson.com ↗	63 match 1 shared topics	Christopher N Anderson – The personal page of Christopher N Anderson	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
robertlab.com ↗	62 match 1 shared topics	Robert Lab – Reproductive ecology & Conservation biology	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
ahaa-amat.org ↗	62 match 1 shared topics	AHAA-AMAT – Association of Hungarian American Academicians	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ahrensplantevol.org ↗	62 match 1 shared topics	Collin Ahrens – Plant Adaptation, Evolution, and Ecology	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
hoehnlab.org ↗	62 match 1 shared topics	Hoehn Lab – Immunology inspired by evolution	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
cynthiacatton.com ↗	62 match 1 shared topics	Cynthia Catton, PhD – Marine Fisheries & Conservation Research	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
africanscientistjournal.org ↗	62 match 1 shared topics	AFSJ – A NiSEB Publication	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
1000rivers.net ↗	62 match 1 shared topics	International fish edna project – Combining citizen science with eDNA to survey river fish communities	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
acimacherian.com ↗	62 match 1 shared topics	Acima Cherian – Endeavors and distractions in wildlife ecology and education	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
iga-goatworld.com ↗	62 match 1 shared topics	INTERNATIONAL GOAT ASSOCIATION - International Goat Association	en	biological-sciences Weebly	robotsllmsaihumans	emailphone	none
milkcomposition.com ↗	62 match 1 shared topics	Milk Compound-SNP Interaction Atlas	en	biological-sciences	robotsllmsaihumans	emailphone	none
admb-foundation.org ↗	62 match 1 shared topics	ADMB Foundation \| Supporting the AD Model Builder Community	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.