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John Carreyrou (/ˌkæriˈruː/) is an American investigative reporter at The New York Times. Carreyrou worked for The Wall Street Journal for 20 years between 1999 and 2019 and has been based in Brussels, Paris, and New York City. He won the Pulitzer Prize twice and helped expose the fraudulent practices of the multibillion-dollar blood-testing company…
The analysis highlights Works, Career and Companies as prominent areas in the source structure around John Carreyrou.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around John Carreyrou shows recurring relationship patterns in the source. For example, John Carreyrou → After, American, Brussels, By, Carreyrou, Dow Jones Newswires, Duke University, Europe, French, Gérard Carreyrou, He, In, New York, Paris, Portugal, Southern Europe, Spain, The Wall Street Journal Another extracted example is John Carreyrou → Articles, Bad Blood, Biography, Journalism, June, News, Photos, Politics, Prose, The Wall Street Journal, YouTube. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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TTTA extracted 41 structured relationships around John Carreyrou. Examples in this analysis include John Carreyrou → Awards → Pulitzer Prize (2) George Polk Award Gerald Loeb Award and John Carreyrou → Children → 3. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| John Carreyrou | Awards | Pulitzer Prize (2) George Polk Award Gerald Loeb Award | 1.00 | infobox |
| John Carreyrou | Children | 3 | 1.00 | infobox |
| John Carreyrou | Citizenship | French-American | 1.00 | infobox |
| John Carreyrou | Education | Duke University (B.A.) | 1.00 | infobox |
| John Carreyrou | Employers | The Wall Street Journal (1999-2019) | 1.00 | infobox |
| John Carreyrou | Employers | The New York Times (since 2023) | 1.00 | infobox |
| John Carreyrou | Known for | Reporting on Theranos and other corporate scandals | 1.00 | infobox |
| John Carreyrou | Notable work | Bad Blood: Secrets and Lies in a Silicon Valley Startup | 1.00 | infobox |
| John Carreyrou | Occupation | Journalist | 1.00 | infobox |
| John Carreyrou | Spouse | Molly Schuetz | 1.00 | infobox |
| John Carreyrou | Years active | 1999-present | 1.00 | infobox |
| terrorism | instance of | he moved to Paris to cover French business and other topics | 0.80 | text |
The concept neighborhoods around John Carreyrou bring nearby vocabulary together. In this analysis, examples include Times, Bad and New. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For John Carreyrou, one of the stronger structural bridges in this analysis connects John Carreyrou with Early life and career. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around John Carreyrou to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Career & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — John Carreyrou · EN edition · Analysis: TopicsToTalkAbout