Clare joined the BMC series as a manuscript editor in 2019 before becoming editor of BMC Genomics, BMC Genetics and BMC Medical Genomics in September 2020. She started out studying Human Genetics at Trinity College Dublin and following that, she obtained a Masters in Cardiovascular Science from the University of Edinburgh, and subsequently, a PhD researching the role of a gene in the control of inflammation and oxidative stress in adipose tissue. She worked for a year for a small academic publishing company before joining the BMC. She has an interest in research integrity and open access, to ensure that reliable, reproducible research is available to all.
Dr. Shuhua Xu is professor of human population genetics and Principal Investigator of Population Genomics Group at the CAS-MPG Partner Institute for Computational Biology. He is currently holding the position of Max-Planck Independent Research Group Leader and a Distinguished Adjunct Professorship at ShanghaiTech University. He received his PhD at Fudan University, China. The Population Genomics Group led by Dr. Xu is using computational approaches and developing new methods to dissect genetic architecture of human populations, quantitatively characterize their admixture features, and reveal their migration history and adaptive divergence. Dr. Xu has authored many scientific papers published in Science, PNAS, The American Journal of Human Genetics, Genome Research, Molecular Biology and Evolution, Human Molecular Genetics, the PLoS and the BMC series. Dr. Xu serves as Editorial Board member of several international peer-reviewed journals such as Hereditas, Human Genomics, Molecular Genetics and Genomics, Scientific Reports, and BMC Genetics.
Phil Giffard is Head of Laboratory Science at Menzies School of Health Research, and a professor in the College of Health and Human Sciences, at Charles Darwin University in Darwin, in the tropical north of the Northern Territory of Australia. He completed his PhD in Escherichia coli genetics and physiology at the University of Aberdeen in Scotland in 1987. After post-doctoral studies analysing genes from oral bacteria at the Institute of Dental Research in Sydney Australia, he was an academic staff member and research at Queensland University of Technology in Brisbane, Australia, from 1993 until 2008 when he re-located to Darwin. His research has encompassed diverse aspects of molecular microbiology, genetic analysis technology, and bioinformatics, and their relevance to infectious disease. Recent interests have included the diversity and genomics of Gram-positive bacteria that are skin pathogens that particularly burden disadvantaged populations, and also the population structure of Chlamydia trachomatis in remote Australia. Phil has a long involvement in laboratory and bioinformatics capacity development, in particular what is relevant to remote regions. He was previously an associate editor of BMC Genetics before becoming a senior editorial board member of the re-launched BMC Genomic Data in Jan 2021.
Dr. is Professor of Statistics at the Michigan State University. He completed his PhD in statistics from the University of Florida in 2005. His research has been focusing on developing novel statistical and computational methods with applications to genetic and genomics data analysis. Topics in his lab include, but are not limited to genome-wide association studies, gene-gene and gene-environment interactions, multi-omics data integration, causal mediation analysis, supervised and unsupervised learning, longitudinal and functional data analysis. Dr. Cui was previously an associate editor and deputy section editor of BMC Genetics before becoming a Senior Editorial Board member of the re-launched BMC Genomic Data in Jan 2021.
Annual Journal Metrics
For BMC Genetics (former title)
108 days to first decision for reviewed manuscripts only
62 days to first decision for all manuscripts
190 days from submission to acceptance
22 days from acceptance to publication
429 Altmetric mentions
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.