ArticleFrontiers in aging neuroscience2026
Global research architecture of RNA-binding proteins in neurodegenerative diseases: a web of science bibliometric study with PubMed record verification, 2001-2025.
Article in Frontiers in aging neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: RNA-binding proteins (RBPs) connect RNA homeostasis to proteostasis and selective neuronal vulnerability, but the organization and evolution of this cross-disease research field remain unclear. Methods: We analyzed Web of Science Core Collection (WoSCC) records published through 2025. PubMed was used only to verify records by normalized DOI or exact normalized title; PubMed metadata were not pooled with WoS data, and all bibliometric analyses used WoS fields. Publication growth, contributors, collaboration, co-citation, bibliographic coupling, and conceptual evolution were examined using bibliometrix, VOSviewer, and CiteSpace-compatible workflows. A prespecified 43-concept dictionary preserved multiword biological entities in title/abstract networks. The study characterizes a query-defined and PubMed-verified literature corpus rather than estimating the relative biological importance of individual RBPs. Results: Of 2,454 records reported by the WoS search interface, 2,450 were available in the supplied exports and 2,309 met the year criterion. PubMed record verification retained 2,160 records (93.55%) in the analysis corpus; 149 records (6.45%) were not matched. Output increased from one publication in 2001 to 213 in 2025. Within this query-defined corpus, the mapped literature was concentrated around TDP-43 pathology, TARDBP/FUS genetics, and loss of RNA-processing function. The controlled concept network resolved three macro-communities, while recent temporal signals involved LATE, cryptic exons, and RNA transport. These findings describe the retrieved and verified corpus and are not presented as a search-independent ranking of the broader RBP field. Conclusion: The maps document a WoS-derived and PubMed-verified literature corpus concentrated on TDP-43 and ALS/FTD and increasingly connected with cryptic RNA processing, condensate biology, nuclear transport, neuroimmune responses, and aging-related mixed proteinopathies. Because the corpus was conditioned by a title-level query containing named RBPs and by PubMed record verification, these patterns should not be interpreted as an unbiased ranking of RBP biology or as evidence of shared causality across diseases. Cross-disease translation should proceed through neuropathologically defined, age-stratified, and cell-type-resolved human cohorts, followed by causal perturbation and rescue in human disease models and multicenter longitudinal validation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.