Google Scholar Author Highlighter

Highlights first-author, second-author, co-first-author and last-author papers on Google Scholar profile pages

Users10K

Rating4.8

Reviews19

Manifest versionV3

7-day growth0

7-day growth rate0%

Preview

Google Scholar Author Highlighter Media preview

1 assets

Trend

30-day user trend

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User Growth Over Time

Rating trend

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30-day rating change

Start

4.84

Latest

4.84

30-day rating change

0.00

2026年5月28日2026年6月3日

Growth overview

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1-day growthFlat

00%

7-day growthFlat

00%

30-day growthGrowing

+1K+11.1%

Technical snapshot

Version, languages, and crawl freshness

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Version2.1.0

ManifestV3

Size59.26KiB

Languages1English

Published--

Store updated--

Last crawled--

Overview

Product summary

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This extension automatically scans your Google Scholar profile and highlights papers by your authorship role. It detects and color-codes when you are:

- First author

- Second author

- Co-first author (symbols such as †, ‡, §, *, #, ✉)

- Corresponding author (symbols such as †, ‡, §, *, #, ✉)

- Last author

Reviews

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The Chrome Web Store shows 19 reviews, but only 0 review bodies have synced into ExtScope so far. Showing the synced reviews available right now.

5★

4★

3★

2★

1★

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AI product read

Chrome extension that highlights papers on Google Scholar profile pages based on the user's authorship role (first author, second author, co-first author, corresponding author, last author)

Researchers need to quickly identify their authorship position in their publication list on Google Scholar. Scholar profiles don't visually distinguish first-author, co-first, corresponding, or last-author papers, making it hard to assess one's primary contributions at a glance.

User navigates to any Google Scholar profile page (scholar.google.com/citations*). The extension's content script automatically activates, reads the profile name from the DOM, parses author lists for each publication, matches the profile name against authors using fuzzy matching with Levenshtein distance, classifies each paper by authorship role, applies color-coded highlighting via CSS classes, and injects a control panel into the sidebar for filtering by authorship type and year range. A MutationObserver handles dynamically loaded papers.

Target users: Academic researchers / Faculty members managing their Google Scholar profiles / PhD students tracking their publication metrics / Research professionals evaluating their publication portfolio

No external API calls or server communication beyond Google Scholar DOM, limiting need for further network analysis
Google Scholar itself may require login for full profile visibility, but the extension itself does not mandate or handle any login

Monetization

No paid features detected

All features (highlighting, filtering, metrics, name spotlighting, focus mode) are free and fully functional. The only payment-related item is a voluntary 'Buy Me a Coffee' donation link in the popup (popup.html line 31, popup.js line 6 pointing to buymeacoffee.com/ntudy). This is not a gated feature - it is a donation/tip mechanism. No subscription, license, Stripe, or billing logic exists in the source.

Confidence: 95
Payment platform: --
Source: AI / High
Login required: No
Reason: The extension operates as a content script directly on Google Scholar profile pages. It reads the author name from the DOM (e.g., '#gsc_prf_in') and highlights papers by authorship role. There is no authentication flow, no login UI, no account system, and no credential handling anywhere in the source code. All keyword hits for 'auth' are false positives from 'authorMatcher' (author-related logic).

Permission risk

High-risk permissions

This estimate uses declared permissions and host permissions to assess access scope and sensitivity.

扩展能力较强：scripting、tabs、storage
主机权限覆盖范围较宽

Publisher

yue0068

Independent publisher

Email: [email protected]
Phone: --
Address: --

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