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Evolutionletters alternatives & similar sites

Evolution Letters | Editor's Blog — 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
nekhbet.com ↗	68 match 1 shared topics	evolution	en	biological-sciences	robotsllmsaihumans	emailphone	none
protectnaturenow.com ↗	64 match 1 shared topics	Protect Nature Now \| Safeguarding Biological Evolution from GMOs 2.0	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
beast.community ↗	64 match 1 shared topics	BEAST Software - Bayesian Evolutionary Analysis Sampling Trees \| BEAST Documentation	en	biological-sciences	robotsllmsaihumans	emailphone	none
protein-biophysics.com ↗	64 match 1 shared topics	The interface of protein structure, protein biophysics, and molecular evolution – My Research Blog	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
biographic.com ↗	62 match 1 shared topics	bioGraphic \| Revealing Nature // Inspiring Solutions	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
garlicbreadfestival.com ↗	62 match 1 shared topics	Chadwick Horn – Evolutionary Biologist, Computer Engineer, Serial Entrepreneur, Philanthropic Donor and Angel Investor	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
emodnet-biology.eu ↗	62 match 1 shared topics	Biology \| European Marine Observation and Data Network (EMODnet)	European Union en	biological-sciences Drupal	robotsllmsaihumans	emailphone	none
biosisplatform.eu ↗	61 match 1 shared topics	Biosis - Biological Soil Information System	European Union en	biological-sciences	robotsllmsaihumans	email phone	none
cbiores.com ↗	61 match 1 shared topics	Life in Computational Biology – Biology in motion	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
garini-lab.com ↗	61 match 1 shared topics	Biophysics \| Yuval Garini Lab \| Technion \| Haifa	en	biological-sciences Wix	robots llmsaihumans	emailphone	none
cathdb.info ↗	61 match 1 shared topics	CATH: Protein Structure Classification Database at UCL	en	biological-sciences	robotsllmsaihumans	emailphone	none
asuvalgae.com ↗	61 match 1 shared topics	Symbiotic Algal collection from the University of Valencia	en	biological-sciences	robotsllmsaihumans	email phone	none
eracaps.org ↗	61 match 1 shared topics	Homepage \| ERA-CAPS	en	biological-sciences Drupal	robotsllmsaihumans	emailphone	none
intracellularscope.com ↗	61 match 1 shared topics	The Carlini Lab \| Laboratory of Intracellular Dynamics \| Stony Brook	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nematodeinformation.com ↗	61 match 1 shared topics	Nematode Information	en	biological-sciences Squarespace	robotsllmsaihumans	emailphone	none
hornerlabcsusb.org ↗	61 match 1 shared topics	Horner Lab @ CSU San Bernardino \| Functional Morphology and Biomechanics	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
hrrysprk.com ↗	61 match 1 shared topics	Harpreet Singh — Computational Biology × Data Science × Visualization	en	biological-sciences	robotsllmsaihumans	emailphone	none
biowise.ch ↗	61 match 1 shared topics	Biowise Foundation – Promoting exchange and mobility of talented biomedical researchers	Switzerland 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.