← This week2026.09.21 ~ 2026.09.27
ThemeJapan · Syosetu

growth

70.0%

Share over 12 weeks

6/299/21
View weekly figures
WeekShareTitles
6/2960.0%6/10 titles
7/630.0%3/10 titles
7/2010.0%1/10 titles
7/2770.0%7/10 titles
8/350.0%5/10 titles
8/1050.0%5/10 titles
8/1720.0%2/10 titles
8/2430.0%3/10 titles
8/3160.0%6/10 titles
9/750.0%5/10 titles
9/1470.0%7/10 titles
9/2170.0%7/10 titles

Evidence

  • growth appears in 7 of the 10 titles (70.0%) on the Japan chart.
  • Against the last observed week (9/14) at 70.0%, that is 0.0%p — from 7 to 7 titles, unchanged.
  • Observed in 12 of the last 12 weeks.

WriterMate's reading

The title count is identical to the last observed week, so WriterMate reads this as holding steady. 100.0% of the titles carrying growth also carry isekai. It is more accurate to read this as the "growth + isekai" combination moving, rather than the theme on its own. Next most common: reincarnation(57.1%), reincarnation(57.1%).

Appears alongside

Ranked titles behind this 7titles

Story pattern read from the synopses

7titles

This week's Japanese works with the theme of growth primarily feature stories where the protagonist discovers and develops their abilities in a new life based on past life memories. They also include content about overcoming conflicts in engagement relationships or societal injustices.

What changed from last week — Compared to last week's works, this week's narratives more prominently feature protagonists resolving societal injustices or issues within engagement relationships using past life memories. Additionally, a common trope is the protagonist perceiving their ability as a 'trash skill' while actually wielding immense power.

This trope in other markets

  • North America 60.0%
  • Korea 50.0%
  • China 40.0%

Original source: Munpia 주간 베스트 · Syosetu 종합 평가 순위 · Qidian 월표(月票) 순위 · Royal Road Active Popular

Rankings and title information come from each platform's public charts. Shares, changes, streak lengths and cross-market comparisons are calculated by WriterMate from stored snapshots, and every interpretation is derived from those figures alone. See how we calculate this