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Max Theiler (30 January 1899 – 11 August 1972) was a South African-American virologist and physician. He was awarded the Nobel Prize in Physiology or Medicine in 1951 for developing a vaccine against yellow fever in 1937, becoming the first African-born Nobel laureate.
The analysis highlights Works, Career and Regions as prominent areas in the source structure around Max Theiler.
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 Max Theiler shows recurring relationship patterns in the source. For example, Max Theiler → An Account, Downs, ISBN, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, London, Man, New Haven, Program, Rickettsial Infections, The Arthropod-Borne Viruses, The Rockefeller Foundation Virus, Vertebrates, Viral, Wikisource-logo, Yale University Press, Yellow Fever Another extracted example is Max Theiler → December, Nobel Lecture, Nobelprize, The Development, Vaccines, Yellow Fever. 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.
theiler virus fever yellow medicine school south tropical vaccine university max rockefeller 1951 africa new london pretoria foundation medical mice
TTTA extracted 34 structured relationships around Max Theiler. Examples in this analysis include Max Theiler → Alma mater → University of Cape Town and Max Theiler → Born → (1899-01-30)30 January 1899 Pretoria, South African Republic (present-day South Africa). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Max Theiler | Alma mater | University of Cape Town | 1.00 | infobox |
| Max Theiler | Born | (1899-01-30)30 January 1899 Pretoria, South African Republic (present-day South Africa) | 1.00 | infobox |
| Max Theiler | Died | 11 August 1972(1972-08-11) (aged 73) New Haven, Connecticut, U.S. | 1.00 | infobox |
| Max Theiler | Fields | Virology | 1.00 | infobox |
| Max Theiler | Known for | Developing a vaccine against yellow fever | 1.00 | infobox |
| Max Theiler | related to External links | Nobelprize | 0.60 | section |
| Max Theiler | related to External links | Nobel Lecture | 0.60 | section |
| Max Theiler | related to External links | December | 0.60 | section |
| Max Theiler | related to External links | The Development | 0.60 | section |
| Max Theiler | related to External links | Vaccines | 0.60 | section |
| Max Theiler | related to External links | Yellow Fever | 0.60 | section |
| Max Theiler | related to Publications | Viral | 0.60 | section |
The concept neighborhoods around Max Theiler bring nearby vocabulary together. In this analysis, examples include Theiler, Tropical and Yellow. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Max Theiler, one of the stronger structural bridges in this analysis connects Max Theiler with Overview. 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 Max Theiler to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Career & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Max Theiler · EN edition · Analysis: TopicsToTalkAbout