A LinkedIn post circulated recently in which a researcher described what happened after they stopped cooperating with a prolific collaborator: joint work retracted, their name removed from papers where they had contributed, and a collaborator who had served as corresponding author on approximately 99% of their shared output. The post named names. This blog will not discuss about thesenames because the pattern matters more than the case.
Corresponding authorship formally exists to manage communication between a research team and a journal. In certain publishing networks it has become something else: a production management role that controls reference lists. A corresponding author who assembles the final manuscript has structural influence over which citations appear. In a network where collaborators reciprocate citations across papers, that influence compounds quickly. When multiple papers by the same cluster each carry a dozen or more self-citations, the bibliography is no longer documenting intellectual lineage. It is manufacturing it.
Self-citation stacking is not subtle. A paper carrying nineteen self-citations by a single author is arithmetically unusual. That editors rarely query this at submission — that it surfaces only after a retraction or public complaint — tells us where editorial scrutiny is actually directed: at the text, the method, sometimes the data. Rarely at the reference architecture.
Self-citation at scale is not a solo enterprise. It requires a network: co-authors who reciprocate, editors embedded in the same citation ecosystem, journals whose acceptance decisions are shaped, consciously or not, by the apparent influence of submitting authors. The loop is self-reinforcing — citation counts produce h-indices, h-indices produce editorial appointments, editorial appointments produce more acceptances. None of this requires coordination. It emerges from rational actors responding to institutional incentives. That is precisely what makes individual retraction decisions insufficient. Retracting a paper addresses a node. It does not address the network.
Publishers have been tagged in posts like this one as though a single alert will trigger action. It is worth being precise. Algorithmic screening for self-citation ratios at submission is technically feasible — some publishers have piloted it. The constraint is not technological. It is commercial. Authors who generate high citation counts are valuable to journals under current metrics. Acknowledging that tension is a prerequisite for addressing it. And for researchers who raise concerns internally, the situation is worse. Academic publishing has no formal whistleblower protection framework. A researcher removed from a paper where they contributed has, in most jurisdictions, very limited recourse. Their name disappears. The record does not.
The behaviours this post describes — citation padding, corresponding author capture, co-authorship as currency — are not aberrations. They are adaptations to a system that rewards volume and impact scores above other indicators of scholarly value. The question is not only what individuals did. It is what kind of publishing ecosystem produces these incentives reliably, and whether anyone with the power to redesign it has any interest in doing so.
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Zero Citation publishes commentary on research integrity, academic publishing, and the systems that govern scholarly work.
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