100,000 scientists data in Scopus allow to conclude that singly authored papers affect scientists’ impact most significantly

Abstract: Utilizing citation data for 100,000 most-cited scientists in the Scopus database, this paper investigated how citations received by an author in different authorship affect his/her academic impact differently. Using a linear regression model as an estimation, it shows that the citations received as the single author of a paper elevates the academic impact the most, followed by that as the first (but not single) author, last author, and middle author. Differences also emerged when we probed into different research fields separately as in some fields citations in the four types of authorship do not differ a lot, and also in some fields, the last-authored citations could ‘outweigh’ the first-authored ones. 

https://www.ideals.illinois.edu/bitstream/handle/2142/106577/Contribution_480_final.pdf?sequence=1&isAllowed=y