The present study explores the knowledge diffusion and developmental trajectories in the scientific literature on biomarkers of oral malignancies. We have utilized the Main Path software to analyze the citation data of 2210 relevant scientific papers obtained from Scopus database. The data was composed by papers published from 1983 to 2016. Additionally, we have applied the edge-betweenness clustering analysis to reveal the most relevant subgroups inside the citation network which can further explain the developmental trajectories that have taken place in this scientific field. Finally, we have used indicators such as g-index and h-index to identify the most influential countries, journals and researchers in the literature related to biomarkers for oral cancer diagnosis management (BOCM).

The results of the Main Path analysis have portrayed a variation in the portfolio of biomarkers used to detect oral cancer. The initial biomarkers contemplated were chromosomic alterations at 3p, 9p, 17p and 18q, as well as changes in molecular expression such as those in phosphoproteins p53, p16 and p21. The final stage of the Main Path shows the use of micro-RNAs as potential BOCM due to their role in carcinogenesis. This variation goes along with the emergence of novel technologies such as proteomics and genomics that allows to isolate various types of molecular markers from less-invasive samples. Additionally, five different clusters were identified in the citation network of this research. Furthermore, this study ranks the contribution of countries in the field of BOCM and found that traditional countries devoted to science such as the US, Japan or UK are the most influential in this field, but there are new players from developing economies such as Taiwan, India and China. Finally, the geographical distribution in this knowledge field is mainly loco-regional in accordance with the “localization” theory of knowledge flow maybe due to the great uncertainty associated with new technologies to do diagnosis.

Based on the results obtained, it is possible to state that the methodology applied in the present study is a very viable and beneficial fashion to methodically organize, classify and analyze the evolution course of the literature data related to BOCM.

The present study explores the knowledge diffusion and developmental trajectories in the scientific literature on biomarkers of oral malignancies. We have utilized the Main Path software to analyze the citation data of 2210 relevant scientific papers obtained from Scopus database. The data was composed by papers published from 1983 to 2016. Additionally, we have applied the edge-betweenness clustering analysis to reveal the most relevant subgroups inside the citation network which can further explain the developmental trajectories that have taken place in this scientific field. Finally, we have used indicators such as g-index and h-index to identify the most influential countries, journals and researchers in the literature related to biomarkers for oral cancer diagnosis management (BOCM).

The results of the Main Path analysis have portrayed a variation in the portfolio of biomarkers used to detect oral cancer. The initial biomarkers contemplated were chromosomic alterations at 3p, 9p, 17p and 18q, as well as changes in molecular expression such as those in phosphoproteins p53, p16 and p21. The final stage of the Main Path shows the use of micro-RNAs as potential BOCM due to their role in carcinogenesis. This variation goes along with the emergence of novel technologies such as proteomics and genomics that allows to isolate various types of molecular markers from less-invasive samples. Additionally, five different clusters were identified in the citation network of this research. Furthermore, this study ranks the contribution of countries in the field of BOCM and found that traditional countries devoted to science such as the US, Japan or UK are the most influential in this field, but there are new players from developing economies such as Taiwan, India and China. Finally, the geographical distribution in this knowledge field is mainly loco-regional in accordance with the “localization” theory of knowledge flow maybe due to the great uncertainty associated with new technologies to do diagnosis.

Based on the results obtained, it is possible to state that the methodology applied in the present study is a very viable and beneficial fashion to methodically organize, classify and analyze the evolution course of the literature data related to BOCM.

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