Eukaryotic translation initiation factor <scp>eIF4G2</scp> opens novel paths for protein synthesis in development, apoptosis and cell differentiation is a research paper published in Cell Proliferation (2023). On theSindex it has a DataRank of 0.861. It has been cited 28 times, with 27 citing works in its 1-hop citation network.
AbstractProtein translation is a critical regulatory event involved in nearly all physiological and pathological processes. Eukaryotic translation initiation factors are dedicated to translation initiation, the most highly regulated stage of protein synthesis. Eukaryotic translation initiation factor 4G2 (eIF4G2, also called p97, NAT1 and DAP5), an eIF4G family member that lacks the binding sites for 5′ cap binding protein eIF4E, is widely considered to be a key factor for internal ribosome entry sites (IRESs)‐mediated cap‐independent translation. However, recent findings demonstrate that eIF4G2 also supports many other translation initiation pathways. In this review, we summarize the role of eIF4G2 in a variety of cap‐independent and ‐dependent translation initiation events. Additionally, we also update recent findings regarding the role of eIF4G2 in apoptosis, cell survival, cell differentiation and embryonic development. These studies reveal an emerging new picture of how eIF4G2 utilizes diverse translational mechanisms to regulate gene expression.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.505
From this paper's citation signal
Citation Network Contribution
0.356
From 16 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 59% comes from its base citations and 41% from the citation network (16 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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