10 Manga Like Meika-san wa Oshi Korosenai — Data-Driven Picks (2026)

If you finished Meika-san wa Oshi Korosenai and want your next read, these recommendations are not someone's opinion — they are computed from comic-lab's database of every manga published in Japan since 1968, combining three similarity axes (art style, setting, story) with real reader-behavior data.

1. Yankee JK Kuzuhana-chan (ヤンキーJKクズハナちゃん)

by 宗我部としのり · since 2020 · 28 volumes in Japan · ongoing

Why it matches: close in setting & themes and story & tone.

2. My Monster Secret (実は私は)

by 増田英二 · since 2013 · 22 volumes in Japan · no new volumes in recent years

Why it matches: shares genre and subject categories on Wikipedia.

3. Girlfriend, Girlfriend (カノジョも彼女)

by ヒロユキ · since 2020 · 15 volumes in Japan · publication status unknown

Why it matches: close in story & tone and setting & themes.

4. Eiken (エイケン)

by 松山せいじ · since 2001 · 19 volumes in Japan · publication status unknown

Why it matches: shares genre and subject categories on Wikipedia.

5. Kaguya-sama: Love Is War (かぐや様は告らせたい : 天才たちの恋愛頭脳戦)

by 赤坂アカ · since 2016 · 27 volumes in Japan · publication status unknown

Why it matches: shares genre and subject categories on Wikipedia.

6. My Dress-Up Darling (その着せ替え人形は恋をする)

by 福田晋一 · since 2018 · 20 volumes in Japan · ongoing

Why it matches: shares genre and subject categories on Wikipedia.

7. The Fragrant Flower Blooms with Dignity (薫る花は凛と咲く)

by 三香見サカ · since 2022 · 23 volumes in Japan · ongoing

Why it matches: shares genre and subject categories on Wikipedia.

8. Beastars (BEASTARS)

by 板垣巴留 · since 2017 · 21 volumes in Japan · publication status unknown

Why it matches: shares genre and subject categories on Wikipedia.

9. The Quintessential Quintuplets (五等分の花嫁)

by 春場ねぎ · since 2017 · 27 volumes in Japan · publication status unknown

Why it matches: shares genre and subject categories on Wikipedia.

10. Skip and Loafer (スキップとローファー)

by 高松美咲 · since 2019 · 13 volumes in Japan · ongoing

Why it matches: shares genre and subject categories on Wikipedia.

Method: similarity is computed over cover-art embeddings, thematic categories and plot descriptions of 133,000+ works, blended with co-reading behavior. Volume counts and dates reflect Japanese editions and update automatically.