"The consensus coding sequences of human breast and colorectal cancers," by Tobias Sjoblom and 28 others,
Science, 314(6797): 268-74, 13 October 2006.

[Authors' affiliations: 11 U.S. institutions]

Abstract: "The elucidation of the human genome sequence has made it possible to identify genetic alterations in cancers in unprecedented detail. To begin a systematic analysis of such alterations, we determined the sequence of well-annotated human protein-coding genes in two common tumor types. Analysis of 13,023 genes in 11 breast and 11 colorectal cancers revealed that individual tumors accumulate an average of ~ 90 mutant genes but that only a subset of these contribute to the neoplastic process. Using stringent criteria to delineate this subset, we identified 189 genes (average of 11 per tumor) that  were mutated at significant frequency. The vast majority of these genes were not known to be genetically altered in tumors
and are predicted to affect a wide range of cellular functions, including transcription, adhesion, and invasion. These data  define the genetic landscape of two human cancer types, provide new targets for diagnostic and therapeutic intervention,
and open fertile avenues for basic research in tumor biology."

This 2006 report in Science was cited 48 times in current journal articles indexed by Thomson Reuters during January-February 2008. Only two other medicine papers published in the last two years, aside from reviews, collected higher citation totals during that two-month period. Prior to the most recent bimonthly count, citations to the paper have accrued as follows:

November-December 2007: 39 citations
September-October 2007: 52
July-August 2007: 24
May-June 2007: 20
March-April 2007: 21
January-February 2007: 7
November-December 2006: 4
September-October 2006: 2

Total citations to date: 217

SOURCE: Hot Papers Database (Included with a subscription to the print newsletter Science Watch^®, available from the Research Services Group of Thomson Reuters. Packaged on a CD that is mailed with each Science Watch issue, the Hot Papers Database contains data on hundreds of highly cited papers published during the last two years. User interface permits searching by author, organization, journal, field, and more. Total citations, as well as citations accrued during successive bimonthly periods, can be assessed and graphed. An updated CD containing the most recent bimonthly data is mailed with every new issue of Science Watch, six times a year. The CD also includes an electronic version of the Science Watch issue in HTML format, for personal desktop access.