Scientometric mapping on cholesterol and egg yolk: Evolution, impact, and collaborative networks

Aim: The aim of the study was to conduct a scientometric mapping of cholesterol and egg yolk through an analysis of evolutionary and collaborative networks. Method: This descriptive observational study was designed using a scientometric approach. Scopus used an inclusive search strategy, limited to documents published between 2019 and 2024. The inclusion criteria were all documents that contained the search terms in the title or abstract and were published between January 2019 and July 2024. Data collection was carried out in a systematic and rigorous manner, and the analysis was performed using SciVal and Bibliometrix. Results: Several authors stood out in the field of research on cholesterol and eggs, with notable academic performance and global diversity. The Animals and Poultry Science journals led in academic production. According to Bradford's law, publications in this field are divided into three zones. According to Lotka's law, most authors write only one document. The analysis of collaboration between countries revealed significant collaboration, especially between China and other countries. Thematic developments in this field have revealed several interesting trends over the years. It was observed that most publications in this field are in the first quartile (Q1), indicating the relevance and impact of research on cholesterol and eggs. The term 'egg quality' is used most frequently, followed by 'cholesterol.' These findings provide valuable insights into areas of focus in cholesterol and egg research. Conclusion: These findings highlight the global diversity and depth of research in this field and underscore the importance of international collaboration to advance scientific knowledge. However, the frequency of collaboration does not necessarily reflect the quality or impact of the research.