Corpus composition research
Kanji Pair Research
Enter one kanji to discover other characters recorded in the same JMnedict name spellings, or enter two kanji to inspect that exact co-occurrence. Every count in this research view describes the imported corpus—not population popularity in Japan.
珠
Jōyō · KANJIDIC grade 8 · 10 strokes
香pearl, gem, jewel
Jōyō · KANJIDIC grade 4 · 9 strokes
Find exact-kanji names →incense, smell, perfume
Recorded names
Name readings containing both characters
The pair only has to occur in the same written form; the two kanji are not required to be adjacent unless counted in the adjacency statistics above.
Given name
亜珠香
3 source-recorded spellings in this reading group contain both 珠 and 香Given nameAsuka
あすか
心珠香
3 source-recorded spellings in this reading group contain both 珠 and 香Given nameShizuka
しずか
香珠子
1 source-recorded spelling in this reading group contain both 珠 and 香Given nameKazuko
かずこ
香珠未
1 source-recorded spelling in this reading group contain both 珠 and 香Given nameKazumi
かずみ
香珠美
1 source-recorded spelling in this reading group contain both 珠 and 香Given nameKasumi
かすみ
香珠恵
1 source-recorded spelling in this reading group contain both 珠 and 香Given nameKazue
かずえ
明珠香
1 source-recorded spelling in this reading group contain both 珠 and 香Given nameAmika
あみか
珠香
1 source-recorded spelling in this reading group contain both 珠 and 香Given nameTomoka
ともか
珠瑞香
1 source-recorded spelling in this reading group contain both 珠 and 香Given nameSuzuka
すずか
香珠代
1 source-recorded spelling in this reading group contain both 珠 and 香Given nameKazuyo
かずよ
香珠
1 source-recorded spelling in this reading group contain both 珠 and 香Given nameKazu
かず
柚珠香
1 source-recorded spelling in this reading group contain both 珠 and 香Given nameYuzuka
ゆずか
珠香
1 source-recorded spelling in this reading group contain both 珠 and 香Tamaka
たまか
Evidence boundary
Co-occurrence is not popularity or etymology
The pair relation comes from exact JMnedict source rows through the compact kanji-usage index. KANJIDIC2 contributes character metadata only. A high corpus count can reflect dictionary coverage and should not be read as a national usage frequency.