Background and aim: The aim of this study was to determine the co-authorship condition of chemistry researchers in University of Yazd in Web of Science database.

Material and methods: This scientometric study was performed to visualize the co-authorship networks. For data description, Spss and Ravar- matrix software were used and Ucinet and Net draw software were applied to analyze the data.

Findings: The density of co-authorship network was 0.0288 and the results showed that researchers who had high frequency had strong correlations among the faculty members of Yazd University, too.

Conclusion: In general, It can be concluded that there are no many connections between relationships that constitute co-authorship network among faculty members of Yazd University and there is not a high coherence among their co-authorship networks.