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Brandon G. Roy, PhD – Molecular Virologist & Bioinformatician | Postdoctoral Research Associate at Cornell AgriTech — 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
nateedelman.com ↗	66 match 1 shared topics	Nathaniel Edelman, PhD – Hutchinson Postdoctoral Fellow, Yale Institute for Biospheric Studies	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
biopred.net ↗	66 match 1 shared topics	Bioinformatics: Molecular biology in the internet	en	biological-sciences	robotsllmsaihumans	emailphone	none
kelsielopez.com ↗	66 match 1 shared topics	Kelsie Anne Lopez – Undergraduate Researcher \| Cornell University	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
biochemi.com ↗	66 match 1 shared topics	Bioinformatics	en	biological-sciences	robotsllmsaihumans	emailphone	none
bigfootinformationgroup.com ↗	66 match 1 shared topics	Bigfoot Research \| Big - Bigfoot Information Group Inc.	en	biological-sciences Wix	robots llmsaihumans	emailphone	none
bioinforomics.com ↗	66 match 1 shared topics	Bioinforomics \| Bioinformatics, Made Simple	en	biological-sciences	robotsllmsaihumans	emailphone	none
bioinformaticsindia.com ↗	66 match 1 shared topics	Bioinformaticsindia -	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
na-xie.com ↗	65 match 1 shared topics	Na Xie, PhD — Molecular Toxicology & Entomology	en	biological-sciences	robotsllmsaihumans	emailphone	none
teobs.com ↗	65 match 1 shared topics	Teobs.com – Research and development in the field of molecular biology and biocehmistry.	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
meeklab.org ↗	65 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
nsbmb.com ↗	65 match 1 shared topics	Nigerian Society of Biochemistry and Molecular Biology	en	biological-sciences	robotsllmsaihumans	emailphone	none
biminisharklab.com ↗	65 match 1 shared topics	Shark Research \| Bimini Biological Field Station - Shark Lab	en	biological-sciences Wix	robots llmsaihumans	emailphone	none
caister.com ↗	65 match 1 shared topics	Caister Academic Press \| Books in Microbiology and Molecular Biology	en	biological-sciences	robotsllmsaihumans	emailphone	none
apg.asn.au ↗	65 match 1 shared topics	Adelaide Protein Group – A special interest group of the Australian Society for Biochemistry and Molecular Biology	Australia en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
biophp.org ↗	65 match 1 shared topics	BioPHP. PHP for bioinformatics	en	biological-sciences	robotsllmsaihumans	emailphone	none
bioenglab434.com ↗	65 match 1 shared topics	BioMolecularEngineering Lab 434 at University of Belgrade-Faculty of Chemistry	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
biocalculator.app ↗	64 match 1 shared topics	Biology Calculator Online for Lab Research \| BioCalculator	en	biological-sciences	robotsllmsaihumans	emailphone	none
biolightscape.com ↗	64 match 1 shared topics	LightScape GT-1 — New age of biological research	en	biological-sciences	robots llmsaihumans	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.