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Nathaniel Edelman, PhD – Hutchinson Postdoctoral Fellow, Yale Institute for Biospheric Studies — 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
hanna-koch.com ↗	66 match 1 shared topics	Hanna R. Koch, PhD – Coral Reef Conservation & Evolutionary Biology	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
nathanielcomfort.com ↗	66 match 1 shared topics	Nathaniel Comfort – creative nonfiction; history of biomedicine	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
jorgemfs.com ↗	65 match 1 shared topics	Jorge Miguel Silva — Postdoctoral Researcher	en	biological-sciences	robots llmsaihumans	emailphone	none
plantaelab.com ↗	64 match 1 shared topics	PLANTAE LAB – PLANT ADAPTATION AND PRECISION AGRICULTURE for a WARMER WORLD	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
nathanieljeanson.com ↗	64 match 1 shared topics	Dr. Nathaniel T. Jeanson \| Answers in Genesis	en	biological-sciences	robotsllmsaihumans	emailphone	none
avianevonus.com ↗	64 match 1 shared topics	Avian Evolution Lab – National University of Singapore	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
barberlab.org ↗	63 match 1 shared topics	Barber lab – University of Oregon	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
faunajournal.com ↗	63 match 1 shared topics	International Journal of Fauna and Biological Studies \| Fauna Journal	en	biological-sciences	robotsllmsaihumans	emailphone	partial · 5
ferijusko.com ↗	63 match 1 shared topics	Feri Jusko – Biologist & Innovator for Biodiversity	en	biological-sciences Lightspeed	robotsllmsaihumans	emailphone	none
joshilaboratory.com ↗	63 match 1 shared topics	Joshi Lab – Organelle Biogenesis and Function	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
joshbanta.com ↗	63 match 1 shared topics	The Banta Lab	en	biological-sciences	robotsllmsaihumans	emailphone	none
johnmulley.com ↗	63 match 1 shared topics	John Mulley's Website \| The place to find out about me and my research	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
jonathanpbeauchamp.com ↗	63 match 1 shared topics	Jonathan P. Beauchamp	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
naturesmicrocosm.com ↗	63 match 1 shared topics	Koskella Lab at UC Berkeley – Understanding (co)evolution of hosts and their symbionts in the lab and in the field	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
derekduplessis.com ↗	63 match 1 shared topics	Derek Duplessis	en	biological-sciences	robotsllmsaihumans	emailphone	none
harishratnayaka.com ↗	63 match 1 shared topics	Harish Ratnayaka – Professor, Department of Biology, Room 290 NCF Bldg. Phone: (504)520-5709, email: hratnaya@xula.edu	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
1000rivers.net ↗	63 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
lucindaplawson.com ↗	63 match 1 shared topics	Dr. Lucinda P. Lawson, Ph.D. - Evolution, Ecology, and Conservation Biologist - Home	en	biological-sciences Weebly	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.