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Jonathan Andrew Eisen (born August 31, 1968) is an American evolutionary biologist, currently working at University of California, Davis. His academic research is in the fields of evolutionary biology, genomics and microbiology and he was the academic editor-in-chief of the open access journal PLOS Biology between February 2008 and December 2012.
The analysis highlights Works, Research and Science as prominent areas in the source structure around Jonathan Eisen.
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 Jonathan Eisen shows recurring relationship patterns in the source. For example, Jonathan Eisen → Evolution, Genomics, Microbial Ecology, Microbiology, Symbiosis Another extracted example is Jonathan Eisen → Jonathan Eisen's LabJonathan Eisen, Media, TED, Wikimedia Commons, Wiktionary-logo-en-v2. 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.
eisen research davis biology genomics microbiology evolutionary university work evolution genomic processes born california fields plos eisen's awarded award jonathan
TTTA extracted 20 structured relationships around Jonathan Eisen. Examples in this analysis include Jonathan Eisen → Alma mater → Harvard University (AB 1990) and Jonathan Eisen → Alma mater → Stanford University (PhD 1998). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Jonathan Eisen | Alma mater | Harvard University (AB 1990) | 1.00 | infobox |
| Jonathan Eisen | Alma mater | Stanford University (PhD 1998) | 1.00 | infobox |
| Jonathan Eisen | Born | Jonathan Andrew Eisen (1968-08-31) August 31, 1968 (age 57) | 1.00 | infobox |
| Jonathan Eisen | Doctoral advisor | Philip Hanawalt | 1.00 | infobox |
| Jonathan Eisen | Fields | Genomics | 1.00 | infobox |
| Jonathan Eisen | Fields | Microbiology | 1.00 | infobox |
| Jonathan Eisen | Fields | Evolution | 1.00 | infobox |
| Jonathan Eisen | Fields | Microbial Ecology | 1.00 | infobox |
| Jonathan Eisen | Fields | Symbiosis | 1.00 | infobox |
| Jonathan Eisen | Known for | PLOS Biology | 1.00 | infobox |
| Jonathan Eisen | Known for | Evolution textbook | 1.00 | infobox |
| Jonathan Eisen | Thesis | The evolution of DNA repair genes, proteins, and processes (1998) | 1.00 | infobox |
| Jonathan Eisen | Website | www.genomecenter.ucdavis.edu/people/jaeisen | 1.00 | infobox |
| Jonathan Eisen | Workplaces | University of California, Davis | 1.00 | infobox |
| Jonathan Eisen | Workplaces | The Institute for Genomic Research | 1.00 | infobox |
The concept neighborhoods around Jonathan Eisen bring nearby vocabulary together. In this analysis, examples include California, Working and Biologist. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Jonathan Eisen, one of the stronger structural bridges in this analysis connects Jonathan Eisen with Research. 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 Jonathan Eisen to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Research & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Jonathan Eisen · EN edition · Analysis: TopicsToTalkAbout