Costly collaborations: The impact of scientific fraud on co‐authors' careers is a research paper published in Journal of the Association for Information Science and Technology (2015). On theSindex it has a DataRank of 0.628. It has been cited 65 times.
Over the past few years, several major scientific fraud cases have shocked the scientific community. The number of retractions each year has also increased tremendously, especially in the biomedical field, and scientific misconduct accounts for more than half of those retractions. It is assumed that co‐authors of retracted papers are affected by their colleagues' misconduct, and the aim of this study is to provide empirical evidence of the effect of retractions in biomedical research on co‐authors' research careers. Using data from the Web of Science, we measured the productivity, impact, and collaboration of 1,123 co‐authors of 293 retracted articles for a period of 5 years before and after the retraction. We found clear evidence that collaborators do suffer consequences of their colleagues' misconduct and that a retraction for fraud has higher consequences than a retraction for error. Our results also suggest that the extent of these consequences is closely linked with the ranking of co‐authors on the retracted paper, being felt most strongly by first authors, followed by the last authors, with the impact is less important for middle authors.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.628
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.