Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to arushithapar.com

Arushi Thapar, M.A., B.A. | Public Health Researcher · ranked by shared content topics & relevance
75match
thisweekinpublichealth.com
Connecting you to public health research
1 shared topicsmedical-health
73match
newhealthresearch.com
New Health Research
1 shared topicsmedical-health
72match
is4k.com
CiPHR — Center for Innovative Public Health Research
1 shared topicsmedical-health
72match
isolutions4kids.com
CiPHR — Center for Innovative Public Health Research
1 shared topicsmedical-health
72match
iphargroup.com
IPHAR Group | Institute of Public Health Applied Research | Sudan
1 shared topicsmedical-health
72match
phrdevelopment.com
Public Health Research Development
1 shared topicsmedical-health
70match
a-jhr.com
Asian Journal of Health Research
1 shared topicsmedical-health
70match
bnhealthsolutions.org
BN Health | Public Health Consulting
1 shared topicsmedical-health
70match
bn-health.com
BN Health | Public Health Consulting
1 shared topicsmedical-health
70match
newtampahealthresearch.com
Advanced Medical Research - New Tampa Health Research
1 shared topicsmedical-health
69match
actforpublichealth.org
Home - Act for Public Health
1 shared topicsmedical-health
69match
bighorncountypublichealth.com
Home - Big Horn County Public Health Department
1 shared topicsmedical-health
69match
thephuncle.com
The PHuncle | Where Public Health Hits Different
1 shared topicsmedical-health
69match
kristinastaley.com
kristinastaley | Patient and public involvement in research
1 shared topicsmedical-health
69match
ahmedmkassem.com
Ahmed M. Kassem – Public Health Physician
1 shared topicsmedical-health
69match
doctorodonovan.com
Doctor O'Donovan | Doctor, Researcher and Health Educator
1 shared topicsmedical-health
69match
intheknowsora.com
Sora — Evidence-Based Health Research
1 shared topicsmedical-health
69match
mcpublichealth.com
Mitchell County Public Health & Home Health - Osage, Iowa
1 shared topicsmedical-health

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:

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.