ScholarRef-Google Scholar Database for APA Reference Finder
Search academic papers and generate APA 7th edition citations instantly from your browser.
As of June 2026, ScholarRef-Google Scholar Database for APA Reference Finder has 37 users and a 5.00/5 rating from 1 reviews in the Productivity category.
Usersup 68.2 percent+68.2%
37
37
Ratingno change0%
5.00
1 reviews
Reviewsno change0%
1
Version
1.0.0
Manifest V3
History
8 snapshotsTracking since Apr 8, 2026.
View as table
| Date | Users | Rating | Reviews | Version |
|---|---|---|---|---|
| Apr 8, 2026 | 22 | 5.00 | 1 | 1.0.0 |
| Apr 19, 2026 | 23 | 5.00 | 1 | 1.0.0 |
| Apr 26, 2026 | 26 | 5.00 | 1 | 1.0.0 |
| May 3, 2026 | 31 | 5.00 | 1 | 1.0.0 |
| May 9, 2026 | 30 | 5.00 | 1 | 1.0.0 |
| May 14, 2026 | 28 | 5.00 | 1 | 1.0.0 |
| May 23, 2026 | 33 | 5.00 | 1 | 1.0.0 |
| Jun 2, 2026 | 35 | 5.00 | 1 | 1.0.0 |
| Now | 37 | 5.00 | 1 | 1.0.0 |
Permissions & access
- Permissions
- storageclipboardWritecontextMenusalarms
- Host access
- https://api.semanticscholar.org/*, https://api.crossref.org/*, https://api.openalex.org/*, https://api.allorigins.win/*
Screenshots
About
Scholar Ref is a browser-based academic assistance extension developed to address one of the most persistent challenges in scholarly writing: generating accurate, trustworthy, and properly formatted citations without manual effort or AI-induced errors. The extension is directly connected to Google Scholar, allowing it to extract bibliographic information from authentic, indexed academic sources such as journal articles, conference papers, theses, and books. By relying on verified metadata rather than generative approximation, Scholar Ref ensures that every reference is grounded in real publications, significantly reducing the risk of fabricated or incomplete citations that often arise from conventional AI tools. A core design principle of Scholar Ref is standardization. The extension is intentionally limited to producing citations exclusively in APA 7th edition format, which is one of the most widely accepted citation styles across academic journals, universities, and research institutions. This focused approach eliminates ambiguity and inconsistency, ensuring that every generated reference adheres strictly to APA guidelines, including correct author ordering, publication year placement, title capitalization rules, journal formatting, volume and issue notation, DOI handling, and URL structuring where applicable. Scholar Ref is built for speed and usability within the researcher’s natural browsing environment. Once a user searches or views a paper on Google Scholar, the extension enables instant generation and copying of the corresponding APA 7th edition reference with minimal interaction. This removes the need to switch between multiple citation tools, reference managers, or manual formatting steps, thereby reducing cognitive load and saving valuable research time. The copied references are immediately ready for use in manuscripts, assignments, literature reviews, or reference management software. Another key advantage of Scholar Ref is its role in mitigating hallucinations in academic workflows. Unlike generative systems that infer missing citation details or fabricate references, Scholar Ref strictly operates on available scholarly metadata. If required information is absent or incomplete, the extension prioritizes accuracy over assumption, reinforcing academic integrity and reliability. This makes it particularly suitable for students, early-career researchers, and professionals who must ensure that every citation can withstand scrutiny during peer review or evaluation. Overall, Scholar Ref functions as a precision-focused academic reference tool rather than a general-purpose AI writer. Its emphasis on verified sources, strict APA 7th edition compliance, and seamless browser integration positions it as a practical solution for maintaining citation accuracy, reducing formatting errors, and enhancing the overall efficiency of academic writing and research workflows.
Technical
- Version
- 1.0.0
- Manifest
- V3
- Size
- 43.98KiB
- Min Chrome
- 88
- Languages
- 1
- Featured
- No
Metadata
- ID
- fnoonnligpdcfnolgbajjlhdmmoikooa
- Developer ID
- ue0317bb901cb5c6058765e4e0b96749f
- Developer Email
- [email protected]
- Created
- Feb 12, 2026
- Last Updated (Store)
- Feb 12, 2026
- Last Scraped
- Jun 2, 2026
- Website
- —
- Support URL
- —
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Data sourced from the Chrome Web Store · last verified Jun 2, 2026.