Analysis Reveals Surge in Multiple Corresponding Authorships in Chinese Research

A recent study published in *Scientometrics* highlights a significant trend in academic publishing: between 2016 and 2020, researchers in China were disproportionately likely to list multiple corresponding authors on their papers. By 2020, approximately 30% of papers from Chinese institutions featured multiple corresponding authors, a figure nearly triple the global average of 8.8%. While the practice of sharing correspondence duties is common in large-scale, collaborative projects, the data suggests that this trend was particularly pronounced in China compared to the rest of the world.

This phenomenon appears to be closely linked to China’s previous academic evaluation framework. During the study period, the country’s promotion and funding systems placed a heavy premium on the 'corresponding author' designation. By incentivizing this specific role, the system inadvertently encouraged researchers to distribute authorship in ways that maximized professional credit. The study notes that this trend was most extreme in medicine and pharmacology, where Chinese researchers were nine times more likely to list multiple corresponding authors than their global peers.

The implications of these findings extend beyond mere administrative practices, touching on the integrity of academic credit and the culture of scientific collaboration. When authorship roles are used as tools for career advancement rather than markers of genuine intellectual contribution, it can distort the perceived impact of research. However, the study’s authors note that China has recently implemented significant reforms to its evaluation system. These changes aim to align domestic standards with international practices that prioritize substantive contributions and peer-reviewed quality over rigid authorship hierarchies.

Ultimately, this analysis serves as a critical case study on how institutional incentives can shape academic behavior. As China moves toward a more nuanced assessment model, the research community will be watching to see if these authorship patterns normalize. The shift toward evaluating research based on its actual impact rather than specific roles represents a broader global trend toward more transparent and equitable scientific recognition.