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Cell is a for profit peer-reviewed scientific journal publishing research papers across a broad range of disciplines within the life sciences. Areas covered include molecular biology, cell biology, systems biology, stem cells, developmental biology, genetics and genomics, proteomics, cancer research, immunology, neuroscience, structural biology…
The analysis highlights History and Science as prominent areas in the source structure around Cell (journal).
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 Cell (journal) shows recurring relationship patterns in the source. For example, Cell (journal) → CELLB5 Another extracted example is Cell (journal) → Biology. 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.
cell journal press research 1974 elsevier lewin biology impact factor benjamin history publishing life sciences include molecular cancer established access
TTTA extracted 13 structured relationships around Cell (journal). Examples in this analysis include Cell (journal) → CODEN → CELLB5 and Cell (journal) → Discipline → Biology. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Cell (journal) | CODEN | CELLB5 | 1.00 | infobox |
| Cell (journal) | Discipline | Biology | 1.00 | infobox |
| Cell (journal) | Edited by | John Pham | 1.00 | infobox |
| Cell (journal) | Frequency | Biweekly | 1.00 | infobox |
| Cell (journal) | History | 1974–present | 1.00 | infobox |
| Cell (journal) | Impact factor | 45.5 (2023) | 1.00 | infobox |
| Cell (journal) | ISO 4 | Cell | 1.00 | infobox |
| Cell (journal) | ISSN | 0092-8674 (print) 1097-4172 (web) | 1.00 | infobox |
| Cell (journal) | Language | English | 1.00 | infobox |
| Cell (journal) | LCCN | 74641498 | 1.00 | infobox |
| Cell (journal) | OCLC no. | 01792038 | 1.00 | infobox |
| Cell (journal) | Open access | After 12 months | 1.00 | infobox |
| Cell (journal) | Publisher | Cell Press | 1.00 | infobox |
The concept neighborhoods around Cell (journal) bring nearby vocabulary together. In this analysis, examples include Press, Elsevier and Lewin. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Cell (journal), one of the stronger structural bridges in this analysis connects Cell (journal) 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 Cell (journal) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Cell (journal) · EN edition · Analysis: TopicsToTalkAbout