Japanese author Keigo Higashino, known for penning intricate mystery novels, dies at 68
He was 68.Higashino died from colorectal cancer early Thursday, the account said.googletag.cmd.push(function() { googletag.display('div-gpt-ad-1499653692894-0'); });“We hereby respectfully express our condolences and inform you of this,” a statement said. I want readers to be continually surprised by my ideas,” he said during a rare interview with The Wall Street Journal in 2011.By 2023, he had sold more than 100 million books in Japan, according to his publishers.His novel “Eternal Memory” is scheduled for publication next month. Your subscription plan doesn't allow commenting.
- ▪He was 68.Higashino died from colorectal cancer early Thursday, the account said.googletag.cmd.push(function() { googletag.display('div-gpt-ad-1499653692894-0'); });“We hereby respectfully express our condolences and inform you of this,” a
- ▪I want readers to be continually surprised by my ideas,” he said during a rare interview with The Wall Street Journal in 2011.By 2023, he had sold more than 100 million books in Japan, according to his publishers.His novel “Eternal Memory”
- ▪Your subscription plan doesn't allow commenting.
Japan Times publishes from Japan and files mainly under world. We currently carry 618 of its stories.
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Record
| Original publisher | Japan Times |
| Canonical URL | https://www.japantimes.co.jp/culture/2026/07/27/books/keigo-higashino-obituary/ |
| Publication time | Mon, 27 Jul 2026 17:18:00 +0900 |
| Retrieval time | 2026-07-27T08:31:05.455Z |
| Last seen | 2026-07-27T08:31:05.455Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | tPs8Dp1G2M6Q · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Japan Times.
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