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Randy Wayne Schekman (born December 30, 1948) is an American cell biologist at the University of California, Berkeley, former editor-in-chief of Proceedings of the National Academy of Sciences and former editor of Annual Review of Cell and Developmental Biology. In 2011, he was announced as the editor of eLife, a new high-profile open-access journal…
The analysis highlights Works, Research, Career and Science as prominent areas in the source structure around Randy Schekman.
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 Randy Schekman shows recurring relationship patterns in the source. For example, Randy Schekman → Randy Wayne Schekman (1948-12-30) December 30, 1948 (age 77) Saint Paul, Minnesota, U.S. Another extracted example is Randy Schekman → Arthur Kornberg. 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.
schekman university california berkeley cell prize academy elife research elected medicine sciences medical institute science received member biology journal 2013
TTTA extracted 9 structured relationships around Randy Schekman. Examples in this analysis include Randy Schekman → Born → Randy Wayne Schekman (1948-12-30) December 30, 1948 (age 77) Saint Paul, Minnesota, U.S. and Randy Schekman → Doctoral advisor → Arthur Kornberg. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Randy Schekman | Born | Randy Wayne Schekman (1948-12-30) December 30, 1948 (age 77) Saint Paul, Minnesota, U.S. | 1.00 | infobox |
| Randy Schekman | Doctoral advisor | Arthur Kornberg | 1.00 | infobox |
| Randy Schekman | Doctoral students | David Julius David Baker | 1.00 | infobox |
| Randy Schekman | Education | University of California, Los Angeles (BA) Stanford University (PhD) | 1.00 | infobox |
| Randy Schekman | Known for | Editor-in-chief of PNAS and eLife | 1.00 | infobox |
| Randy Schekman | Thesis | Resolution and reconstruction of a multienzyme DNA replication reaction (1975) | 1.00 | infobox |
| Randy Schekman | Website | mcb.berkeley.edu/labs/schekman [dead link] royalsociety.org/people/randy-schekman [dead link] | 1.00 | infobox |
| Randy Schekman | Workplaces | University of California, Berkeley UCLA Howard Hughes Medical Institute Stanford University | 1.00 | infobox |
| Randy Schekman | related to External links | Nobelprize | 0.60 | section |
The concept neighborhoods around Randy Schekman bring nearby vocabulary together. In this analysis, examples include Berkeley, University and California. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Randy Schekman, one of the stronger structural bridges in this analysis connects Randy Schekman with Research 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 Randy Schekman to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Research, Career & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Randy Schekman · EN edition · Analysis: TopicsToTalkAbout