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Roger Charles Louis Guillemin (11. ledna 1924, Dijon – 21. února 2024, San Diego) byl francouzsko-americký lékař a endokrinolog, který roku 1977 získal Nobelovu cenu za fyziologii a lékařství (spolu s Andrewem Schallym a Rosalyn Yalowovou), a to za objevy v oblasti regulačních hormonů v hypotalamu.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Roger Guillemin.
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 Roger Guillemin shows recurring relationship patterns in the source. For example, Roger Guillemin → Britannice, Nobelovy, Obrázky, Wikimedia CommonsŽivotopis Another extracted example is Roger Guillemin → Montréalská univerzita Burgundská univerzita Lycée Carnot. 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.
roger guillemin dijon 11 ledna 21 února san diego 1970 1924 2024 lékař commons endokrinolog charles louis 1977 fyziologii lékařství
TTTA extracted 14 structured relationships around Roger Guillemin. Examples in this analysis include Roger Guillemin → Alma mater → Montréalská univerzita Burgundská univerzita Lycée Carnot and Roger Guillemin → Bydliště → Spojené státy americké. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Roger Guillemin | Alma mater | Montréalská univerzita Burgundská univerzita Lycée Carnot | 1.00 | infobox |
| Roger Guillemin | Bydliště | Spojené státy americké | 1.00 | infobox |
| Roger Guillemin | Funkce | Director of Research at CNRS (od 1960) | 1.00 | infobox |
| Roger Guillemin | Narození | 11. ledna 1924 Dijon | 1.00 | infobox |
| Roger Guillemin | Občanství | Francie a Spojené státy americké | 1.00 | infobox |
| Roger Guillemin | Ocenění | Mezinárodní cena Gairdnerovy nadace (1974) Cena Alberta Laskera za základní lékařský výzkum (1975) Národní vyznamenání za vědu (1976) Nobelova cena za fyziologii a lékařství (19… | 1.00 | infobox |
| Roger Guillemin | Povolání | endokrinolog, biochemik, vysokoškolský učitel, neurovědec, lékař a fyziolog | 1.00 | infobox |
| Roger Guillemin | Rodné jméno | Roger Charles Louis Guillemin | 1.00 | infobox |
| Roger Guillemin | Zaměstnavatelé | Francouzská kolej (od 1960) Salk Institute for Biological Studies (od 1970) | 1.00 | infobox |
| Roger Guillemin | Úmrtí | 21. února 2024 (ve věku 100 let) San Diego | 1.00 | infobox |
| Roger Guillemin | related to Externí odkazy | Obrázky | 0.60 | section |
| Roger Guillemin | related to Externí odkazy | Wikimedia CommonsŽivotopis | 0.60 | section |
The concept neighborhoods around Roger Guillemin bring nearby vocabulary together. In this analysis, examples include Diego, Dijon and Endokrinolog. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the Roger Guillemin map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Roger Guillemin to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Roger Guillemin · CS edition · Analysis: TopicsToTalkAbout