Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Ribon: Serializations, Format & Overview

Ribon (りぼん; lit. 'Ribbon') is a monthly Japanese shōjo manga magazine published by Shueisha on the third of each month. First issued in August 1955, its rivals are Nakayoshi and Ciao. It is one of the best-selling shōjo manga magazines, having sold over 590 million copies since 1978. Its circulation was in the millions between 1987 and 2001, peaking at…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Ribon topic overview

The analysis highlights Serializations, Format and Overview as prominent areas in the source structure around Ribon.

Related topics
13
Source areas
3
Connected nodes
16
Extracted relationships
18
Concept neighborhoods
9
Bridge connections
16

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 7 topics
Serializations · 4 topics
Format · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded
1955
Categories
Shōjo manga
Circulation
100,000 · (October – December 2025)
Company
Shueisha
Country
Japan
Frequency
Monthly

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Format

Serializations

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Ribon connects Entity context

The extracted context around Ribon shows recurring relationship patterns in the source. For example, Ribon → Celebrating Ribon, In, Often, Ribon Mascot Comics, RMC, The Another extracted example is Ribon → Anime News Network's, Japanese, Official. Use these groups to spot repeated connection types before inspecting the individual relationships.

Ribon

Top relations

related to Format · 6
Ribon → Celebrating Ribon, In, Often, Ribon Mascot Comics, RMC, The
related to External links · 3
Ribon → Anime News Network's, Japanese, Official
Circulation · 2
Ribon → (October – December 2025), 100,000
Categories · 1
Ribon → Shōjo manga
Company · 1
Ribon → Shueisha
Country · 1
Ribon → Japan
Founded · 1
Ribon → 1955
Frequency · 1
Ribon → Monthly
Language · 1
Ribon → Japanese
Website · 1
Ribon → Ribon Waku-Waku Station

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

circulation manga shōjo japanese shueisha magazine magazines million 1978 monthly 2006 published magazine's comics love-berrish nana haruta website nakayoshi ciao

Ribon relationships Subject–Predicate–Object triples

TTTA extracted 18 structured relationships around Ribon. Examples in this analysis include Ribon → Categories → Shōjo manga and Ribon → Circulation → 100,000. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
RibonCategoriesShōjo manga1.00infobox
RibonCirculation100,0001.00infobox
RibonCirculation(October – December 2025)1.00infobox
RibonCompanyShueisha1.00infobox
RibonCountryJapan1.00infobox
RibonFounded19551.00infobox
RibonFrequencyMonthly1.00infobox
RibonLanguageJapanese1.00infobox
RibonWebsiteRibon Waku-Waku Station1.00infobox
Ribonrelated to External linksOfficial0.60section
Ribonrelated to External linksJapanese0.60section
Ribonrelated to External linksAnime News Network's0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Ribon bring nearby vocabulary together. In this analysis, examples include Japanese, Manga and Comics. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Ribon
    • Japanese
    • Manga
    • Comics
    • Haruta
    • Monthly
    • Nana
    • Published
    • Shueisha
    • Website
    • Magazine
    • Shōjo
    • Circulation
  • ribon
    • Japanese
    • Manga
    • Comics
    • Haruta
    • Monthly
    • Nana
    • Published
    • Shueisha
    • Website
    • Magazine
    • Shōjo
    • Circulation
  • shōjo manga
    • Shueisha
    • Magazine
    • Shōjo
    • Monthly
    • Pages
    • Published
    • Ribon
    • Best-selling
    • Copies
    • One
    • Sold
    • Third
  • ribon original
    • Japanese
    • Manga
    • Comics
    • Haruta
    • Monthly
    • Nana
    • Published
    • Shueisha
    • Website
    • Magazine
    • Shōjo
    • Circulation
  • shueisha
    • Shōjo
    • Third
    • りぼん
    • Haruta
    • Magazine's
    • Nana
    • Pages
    • Website
    • Circulation
  • 590 million
    • Copies
    • One
    • Sold
    • Shōjo
    • Circulation
  • ciao
    • First
    • Issued
    • Nakayoshi
    • Rivals
  • spin-off
    • Comics
    • Magazines
    • Ribon

Connections between topic areas Semantic bridges

For Ribon, one of the stronger structural bridges in this analysis connects Ribon with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Ribon — Overview · splits 9 ⟂ 8
Ribon — Serializations · splits 12 ⟂ 5
Ribon — Format · splits 14 ⟂ 3

Map overview Semantic statistics

Ribon

Nodes17
Edges16
Triples18
Avg. degree1.88
Density0.117647
Components1

Source & methodology

TTTA analyzes the structure around Ribon to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Serializations, Format & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Ribon · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.