Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Brian Deer

Brian Deer is a British investigative journalist, best known for inquiries into the drug industry, medicine, and social issues for The Sunday Times. Deer authored the investigative nonfiction book The Doctor Who Fooled the World in 2020, an exposé on anti-vaccine activist Andrew Wakefield and the 1998 Lancet MMR autism fraud.

Works & Career

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Brian Deer. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Known for
Investigative reporting on medical issues and the pharmaceutical industry
Occupation
Investigative journalist
Education
University of Warwick

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Career

MMR vaccine controversy

Honours

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Brian Deer

Nodes63
Edges62
Triples42
Avg. degree1.97
Density0.031746
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Brian Deer

Top relations

related to The Doctor Who Fooled the World · 33
Brian Deer → According, Among, Andrew Wakefield, Australasia, Big Think, David Aaronovitch, Deception, Enter Brian Deer, Every, Exposing, Foreword Reviews, In September, Johns Hopkins University Press, London, Michael Shermer, Nature, North America Deer's, Publishers Weekly, Reviewing, Reviews
related to External links · 4
Brian Deer → CBC Radio's The Sunday, Edition, MMR, Official
Education · 1
Brian Deer → University of Warwick
Known for · 1
Brian Deer → Investigative reporting on medical issues and the pharmaceutical industry
Occupation · 1
Brian Deer → Investigative journalist
Website · 1
Brian Deer → briandeer.com
is a · 1
Brian Deer → British investigative journalist

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

deer wakefield times sunday deer's mmr investigative doctor university autism british book fooled world medical journalist research investigation drug andrew

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Brian DeerEducationUniversity of Warwick1.00infobox
Brian DeerKnown forInvestigative reporting on medical issues and the pharmaceutical industry1.00infobox
Brian DeerOccupationInvestigative journalist1.00infobox
Brian DeerWebsitebriandeer.com1.00infobox
Brian Deeris aBritish investigative journalist0.90text
Brian Deerrelated to External linksOfficial0.60section
Brian Deerrelated to External linksMMR0.60section
Brian Deerrelated to External linksCBC Radio's The Sunday0.60section
Brian Deerrelated to External linksEdition0.60section
Brian Deerrelated to The Doctor Who Fooled the WorldIn September0.60section
Brian Deerrelated to The Doctor Who Fooled the WorldJohns Hopkins University Press0.60section
Brian Deerrelated to The Doctor Who Fooled the WorldNorth America Deer's0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.