As the number of publications is increasing rapidly, it becomes increasingly difficult for researchers to find existing scientific papers most relevant for their work, even when the domain is limited. To overcome this, it is common to use paper summarization techniques in specific domains. In difference to approaches that exploit the paper content itself, in this paper we perform summarization of the citation context of a paper. For this, we adjust and apply existing summarization techniques and we come up with a hybrid method, based on clustering and latent semantic analysis. We apply this on medical informatics publications and compare performance of methods that outscore other techniques on a standard database. Summarization of the citation context can be complementary to full text summarization, particularly to find candidate papers. The reached performance seems good for routine use even though it was only tested on a small database.