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John Mulley's Website | The place to find out about me and my research — 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
platynereis.com ↗	66 match 1 shared topics	Platynereis dumerilii \| Platynereis is an emerging model system for studying development, evolution, regeneration, chronobiology and neurobiology. The website provides information about Platynereis, research, techniques and resources.	en	biological-sciences	robotsllmsaihumans	emailphone	none
allaboutbats.org.au ↗	65 match 1 shared topics	Welcome to All About Bats - All About Bats	AU en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
feheragroup.com ↗	65 match 1 shared topics	Feher Group: Academic Research Excellence \| Feher Group	en	biological-sciences	robotsllmsaihumans	emailphone	none
bananaresearch.org ↗	65 match 1 shared topics	Banana Research \| All about Fusarium Wilt and Black Sigatoka	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
plant-genetix.com ↗	65 match 1 shared topics	Welcome to Plant-Genetix Research \| Plant-Genetix Research	en	biological-sciences	robotsllmsaihumans	emailphone	none
acimacherian.com ↗	64 match 1 shared topics	Acima Cherian – Endeavors and distractions in wildlife ecology and education	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
jorgemfs.com ↗	64 match 1 shared topics	Jorge Miguel Silva — Postdoctoral Researcher	en	biological-sciences	robots llmsaihumans	emailphone	none
luismycolab.com ↗	64 match 1 shared topics	Mycology and Plant Disease Management Lab	en	biological-sciences	robotsllmsaihumans	emailphone	none
drbkbanerji.com ↗	64 match 1 shared topics	Dr. B. K. Banerji — Botanical Research	en	biological-sciences	robotsllmsaihumans	emailphone	none
cauldtm.com ↗	64 match 1 shared topics	Laboratory of Dairy Technology and Microbiology	en	biological-sciences	robotsllmsaihumans	emailphone	none
bbasr.org ↗	64 match 1 shared topics	Bulletin of Biological and Allied Sciences Research	en	biological-sciences	robotsllmsaihumans	emailphone	none
ablescientific.com.au ↗	64 match 1 shared topics	Able Scientific – Research Laboratory Supplies & Equipment	AU en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
faunajournal.com ↗	64 match 1 shared topics	International Journal of Fauna and Biological Studies \| Fauna Journal	en	biological-sciences	robotsllmsaihumans	emailphone	partial · 5
hanna-koch.com ↗	64 match 1 shared topics	Hanna R. Koch, PhD – Coral Reef Conservation & Evolutionary Biology	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
johannebrunet.com ↗	64 match 1 shared topics	Brunet Research - Research on bees at Brunet Research	en	biological-sciences WordPress	robots llmsaihumans	emailphone	none
baumslab.org ↗	64 match 1 shared topics	Baums Laboratory \| Helmholtz Institue for Functional Marine Biodiversity \| Research in Coral Ecology and Evolution	en	biological-sciences	robotsllmsaihumans	emailphone	none
difamilastchems.com ↗	64 match 1 shared topics	Inhibitor Insights Library – Inhibitor Research Hub	en	biological-sciences	robotsllmsaihumans	emailphone	partial · 8
fecalreferencedb.com ↗	64 match 1 shared topics	ZymoBIOMICS Fecal Reference Database \| ZYMO RESEARCH	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.