Crossing the Divide – Transport Between the Endoplasmic Reticulum and Golgi Apparatus in Plants is a research paper published in Traffic (2005). On theSindex it has a DataRank of 2.0. It has been cited 54 times, with 43 citing works in its 1-hop citation network.
The transport of proteins between the endoplasmic reticulum (ER) and the Golgi apparatus in plants is an exciting and constantly expanding topic, which has attracted much attention in recent years. The study of protein transport within the secretory pathway is a relatively new field, dating back to the 1970s for mammalian cells and considerably later for plants. This may explain why COPI‐ and COPII‐mediated transport between the ER and the Golgi in plants is only now becoming clear, while the existence of these pathways in other organisms is relatively well documented. We summarize current knowledge of these protein transport routes, as well as highlighting key differences between those of plant systems and those of mammals and yeast. These differences have necessitated the study of plant‐specific aspects of protein transport in the early secretory pathway, and this review discusses recent developments in this area. Advances in live‐cell‐imaging technology have allowed the observation of protein movement in vivo, giving a new insight into many of the processes involved in vesicle formation and protein trafficking. The use of these new technologies has been combined with more traditional methods, such as protein biochemistry and electron microscopy, to increase our understanding of the transport routes in the cell.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.601
From this paper's citation signal
Citation Network Contribution
1.4
From 35 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 30% comes from its base citations and 70% from the citation network (35 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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