Scientific collaboration and career stages: An ego-centric perspective

Evolution of global scientific collaboration in mRNA vaccine research: Insights from bibliometric and social network analysis (2010~2023)

The field of mRNA vaccines has witnessed rapid development in recent years, leading to significant changes in global scientific collaboration. In this study, a bibliometric and social network analysis was conducted to reveal the evolution of global scientific collaboration in mRNA vaccine research. Altogether 6974 articles published since 2010 were retrieved and categorized into Period 1 (2010-2019), Period 2 (2020-2021) and Period 3 (2022-2023). During Period 2 and 3, there was a significant rise in the proportion of publications involving domestic inter-institutional cooperation (42.0%, 54.0% and 59.1%, respectively in Period 1, 2, and 3), while a significant decrease in international cooperation (32.1%, 23.7% and 21.0%). More countries participated in international collaboration during Period 2 and 3, with the US, the UK and Germany remaining top three throughout all periods, while some other countries like Italy, Japan, and China experiencing significant shifts. Significant correlations between collaboration type and publication impact and between geographical distance and collaborative publication counts were detected. Furthermore, significant changes in research focuses and institutions that are major contributors in the mRNA vaccine development have been observed. In conclusion, the mRNA vaccine field has experienced rapid development over the past decade, with significant evolutions of global scientific collaboration detected in our study.

Exploring high scientific productivity in international co-authorship of a small developing country based on collaboration patterns

The number of published scientific paper grows rapidly each year, totaling more than 2.9 million annually. New methodologies and systems have been developed to analyze scientific production and performance indicators from large quantities of data available from the scientific databases, such as Web of Science or Scopus. In this paper, we analyzed the international scientific production and co-authorship patterns for the most productive authors from Serbia based on the obtained Web of Science dataset in the period 2006-2013. We performed bibliometric and scientometric analyses together with statistical and collaboration network analysis, to reveal the causes of extraordinary publishing performance of some authors. For such authors, we found significant inequality in distribution of papers over journals and countries of co-authors, using Gini coefficient and Lorenz curves. Most of the papers belong to multidisciplinary, interdisciplinary, and the field of applied sciences. We have discovered three specific collaboration patterns that lead to high productivity in international collaboration. First pattern corresponds to mega-authorship papers with hundreds of co-authors gathered in specific research groups. The other two collaboration patterns were found in mathematics and multidisciplinary science, mainly application of graph theory and computational methods in physical chemistry. The former pattern results in a star-shaped collaboration network with mostly individual collaborators. The latter pattern includes multiple actors with high betweenness centrality measure and identified brokerage roles. The results are compared with the later period 2014-2023, where high scientific production has been observed in some other fields, such as biology and food science and technology.