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Shonen Jump Manga & Comics

Shonen Jump Manga & Comics

VIZ Media, LLC

Book免费v5.6.13
App Store
评分

4.9

252,666 条评分

星级

★★★★★

最近更新

2026年5月15日

发布日期

2013年3月21日

更新内容

v5.6.13

- Bug fixes

应用信息

开发者
VIZ Media, LLC
分类
Book
价格
免费
版本
5.6.13
App ID
594237344

简介

Your OFFICIAL source to read the world’s most popular manga, straight from Japan. ALL YOUR FAVORITE SERIES IN ONE PLACE! My Hero Academia, Jujutsu Kaisen, One Piece, Chainsaw Man, Demon Slayer, One-Punch Man, Naruto, Bleach, Death Note, Dragon Ball, Boruto, Kaiju No. 8, JoJo's Bizarre Adventure, Spy x Family, and so much more! READ MANGA FREE! New chapters weekly, with brand new series added regularly! Latest chapters are always free! SHONEN JUMP ON-THE-GO! Stream your favorite series anywhere, anytime on our advanced manga reader! Use landscape mode to view awe-inspiring 2-page spreads as they were drawn. Download to read offline! Create an account to sync your reading progress across any device and pick up where you left off! Light and dark modes available! MEMBERS GET MORE! Unlock the digital vault of 20,000+ manga chapters for ONLY $3.99/month (USD*)! Start your 7-day free trial today! “It’s the best deal in comics”–Engadget BUILD YOUR GRAPHIC NOVEL LIBRARY. Get into a new series or finish collecting your favorites. Read free previews of paid volumes before purchasing. *Prices may vary to reflect your local currency. Shonen Jump Membership Details · All payments will be charged to your iTunes account. · Monthly subscriptions will auto-renew through your iTunes account unless you cancel 24 hours before the end of your current subscription period. · You can turn off auto-renew at any time from your iTunes account settings. · Our Privacy Policy can be viewed at: http://www.viz.com/privacy · Our Terms of Use can be viewed at: http://www.viz.com/terms Questions? Comments? Please let us know at sjsupport@viz.com

下载量预测

专业 · 预览

预估总下载量

18.7M12.6M36.1M
保守估计乐观估计

79K

低 / 月

117K

预估 / 月

226K

高 / 月

基于252,666 条评分
假设评分率1.4%
应用年龄160 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。