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Pendar

ChatGPT plugin

Map & measure research fields

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Rank by placement

#1529of 7,03374places up24h263places up7d
#1,349#1,892#2,435#2,978Sep 18Sep 24Sep 30Oct 6Oct 12Oct 17

Rank in Scientific research

#8of 31024h07d
#7#8#9#10Sep 18Sep 24Sep 30Oct 6Oct 12Oct 17

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In its category

How this plugin compares with others in the same category. Positions are counted within the category, not across the whole directory.

Scientific research8th of 31 by placement
#PluginPosition7d
6Life Sciences Literature#1236292places up
7Rowan#1473177places up
8PendarThis page#1529263places up
9Genomic Intelligence#1627261places up
10Life Sciences Databases#1758388places up

All 31 Scientific research plugins

Pendar gives you the shape of a research field, not a summary of it.

Point it at a topic and it reports how many papers exist, whether output is growing or flattening, which disciplines and countries produce them, and which papers to read first. Every figure is counted across the whole corpus rather than estimated from a sample, so you can plan around it.

Point it at a paper and it traces what happened next: whether citations are rising or fading, which fields picked the work up, whether industry or academia is building on it, and which authors cite it most. That is how you tell a paper quietly becoming foundational from one that peaked years ago.

Paste a bibliography and it checks each reference against the published record: whether the paper exists, whether the citation describes it accurately, and whether it has been retracted. A reference it cannot find is reported as unverified rather than swapped for the nearest real paper, which matters when the citations came from a model.

Every tool is read-only. Pendar looks things up and reports what it finds.

Example prompts

  • “Survey CRISPR gene editing: how many papers exist, is output growing, and what should I read first?”
  • “For DOI 10.1038/s41586-021-03819-2, which fields adopted it and is industry or academia citing it more?”
  • “Check whether the papers in my reference list are real, correctly cited, and not retracted”

Skills

  • survey-a-research-field

    Size and characterise a research area from exact publication counts — how many papers exist, whether output is growing or fading, which sub-areas and disciplines it divides into, which countries and institutions produce it, where it is published, and what to read first. Use when the user asks how large, how active, or how crowded a field is, wants an overview of a topic's literature, or is deciding whether to enter an area.

  • trace-citation-impact

    Trace who has built on a specific paper — whether its citations are accelerating or fading, which research fields picked it up, whether universities or industry or hospitals are citing it, and which authors cite it most. Use when the user asks how influential a paper is, whether it is still relevant, where a method spread, which labs are working on it, or what it was built on.

  • verify-citations

    Check whether cited papers actually exist, are described correctly, and have not been retracted. Use when the user pastes a bibliography, reference list, or citations from a draft, asks whether a paper is real, or wants references from an AI-generated answer checked before relying on them.

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Made by
Pendarlabs · Website
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Availability
Available
Version
2.0.0
Created
August 17, 2026
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