D

Don Ganem

Novartis (Switzerland)

ORCID: 0009-0002-0250-2314

Publishes on Viral-associated cancers and disorders, Hepatitis B Virus Studies, Cytomegalovirus and herpesvirus research. 238 papers and 31.8k citations.

238Publications
31.8kTotal Citations

Is this you? Claim your profile.

Add your photo, update your bio, and get notified when your ranking changes.

Top publicationsby citations

Hepatitis B Virus Infection — Natural History and Clinical Consequences
Don Ganem, Alfred M. Prince|New England Journal of Medicine|2004
Cited by 2.4k

This review article examines the structure and replication cycle of hepatitis B virus and discusses the natural history of primary infection, the mechanisms of clearance of the virus, and reasons for persistent infection. It concludes with a discussion of what we know about the virus and how it causes hepatitis and the implications for treatment.

THE MOLECULAR BIOLOGY OF THE HEPATITIS B VIRUSES
Don Ganem, Harold Varmus|Annual Review of Biochemistry|1987
Cited by 1.1k

The Hippo pathway was initially discovered in Drosophila melanogaster as a key regulator of tissue growth. It is an evolutionarily conserved signaling cascade regulating numerous biological processes, including cell growth and fate decision, organ size ...Read More

Microarray-based detection and genotyping of viral pathogens
David Wang, Laurent Coscoy, Maxine Zylberberg et al.|Proceedings of the National Academy of Sciences|2002
Cited by 826Open Access

The detection of viral pathogens is of critical importance in biology, medicine, and agriculture. Unfortunately, existing techniques to screen for a broad spectrum of viruses suffer from severe limitations. To facilitate the comprehensive and unbiased analysis of viral prevalence in a given biological setting, we have developed a genomic strategy for highly parallel viral screening. The cornerstone of this approach is a long oligonucleotide (70-mer) DNA microarray capable of simultaneously detecting hundreds of viruses. Using virally infected cell cultures, we were able to efficiently detect and identify many diverse viruses. Related viral serotypes could be distinguished by the unique pattern of hybridization generated by each virus. Furthermore, by selecting microarray elements derived from highly conserved regions within viral families, individual viruses that were not explicitly represented on the microarray were still detected, raising the possibility that this approach could be used for virus discovery. Finally, by using a random PCR amplification strategy in conjunction with the microarray, we were able to detect multiple viruses in human respiratory specimens without the use of sequence-specific or degenerate primers. This method is versatile and greatly expands the spectrum of detectable viruses in a single assay while simultaneously providing the capability to discriminate among viral subtypes.