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Shows a TOPSCINET badge on Google Scholar profiles of researchers in the global Top 2% Scientists list. TOPSCINET shows a small badge next to a researcher's name on their Google Scholar profile if they appear in the Top 2% Scientists list, one of the most widely cited measures of research impact worldwide. HOW IT WORKS Visit any Google Scholar profile. If the researcher is in the Top 2% list, a badge appears next to their name. A solid badge means we found exactly one matching researcher. Click it, or hover for a quick summary of their institution and rank, to go straight to their TOPSCINET profile. An outlined "Top 2% name" badge means the name matches more than one researcher in the list. Click it to see all matches and pick the right one. WHY USE IT Quickly check whether a co-author, reviewer, collaborator, or job candidate is recognized in the Top 2% rankings, without leaving Google Scholar. PRIVACY This extension works by comparing the name shown on the current Scholar page against a ranking list downloaded once to your device. It does not track you, does not use analytics or ads, and does not collect personal data. Full privacy policy: https://top2percentscientists.com/privacy-badge-extension/ ABOUT TOPSCINET TOPSCINET (topscinet.com) is a free platform for exploring global Top 2% Scientist rankings. Search by name, institution, or country, and claim your profile if you're on the list. TOPSCINET is a product of DATAMETA LAB (datametalab.com). Questions or feedback: top2percentscientist@gmail.com
Jul 28, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.