Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Graph theory and network topological metrics may be the potential biomarker in Parkinson’s disease. Retrieved May 24, 2026, from https://4ort.xyz/entity/graph-theory-and-network-topological-metrics-may-be-the-potential-biomarker-in-parkinsons-disease
MLA“Graph theory and network topological metrics may be the potential biomarker in Parkinson’s disease.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/graph-theory-and-network-topological-metrics-may-be-the-potential-biomarker-in-parkinsons-disease.
BibTeX@misc{4ortxyz_graph-theory-and-network-topological-metrics-may-be-the-potential-biomarker-in-parkinsons-disease_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Graph theory and network topological metrics may be the potential biomarker in Parkinson’s disease}}, year = {2026}, url = {https://4ort.xyz/entity/graph-theory-and-network-topological-metrics-may-be-the-potential-biomarker-in-parkinsons-disease}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Graph theory and network topological metrics may be the potential biomarker in Parkinson’s disease — https://4ort.xyz/entity/graph-theory-and-network-topological-metrics-may-be-the-potential-biomarker-in-parkinsons-disease (retrieved 2026-05-24)
