Expert Review of Proteomics  [ISSN 1478-9450]; [e-ISSN 1744-8387] is a MEDLINE-indexed, international journal publishing rigorously peer-reviewed review articles and original research focusing on clinical aspects of proteomics. The journal publishes both Gold Open Access and Subscription content.

Expert Review of Proteomics publishes reviews, commentary and original research from the fields of clinical and translational proteomics and related fields to advance scientific understanding of the many varied roles protein expression plays in human health and disease. Papers focus on studies of the following to understand their role in clinical health (including how these can advance therapeutics) and the value that this has for precision medicine and patients generally:

- Biological pathways and proteins on a human cellular and tissue level

- Functional and structural proteomics

- Quantitative and qualitative profiling

- Evaluations, recent advancements, discoveries, observation, applications, implications, interactions, diagnostics, prognostics, proteomic profiling techniques and technological developments in the following:

    Biological mass spectrometry 
    Protein arrays 
    Interaction maps 
    Data archives 
    Biological assays 
    Performance of new technologies and prospects for future drug discovery 

We encourage articles that discuss the combination of proteomics with lipidomics, glycomics, metabolomics, epigenomics and multi-omics.

Comprehensive coverage in each review is complemented by the unique Expert Collection format and includes the following sections:

Expert Opinion – a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results;

Article Highlights – an executive summary of the author’s most critical points.
Once your paper has been assessed for suitability by the Editorial Team, it will then be double-anonymous peer-reviewed by independent, expert referees.

Rolf Apweiler, European Bioinformatics Institute, Cambridge, UK
Geert Baggerman, VITO (Flemish Institute for Technological Research), Belgium
Jonathan Blackburn, University of Cape Town, South Africa
Christoph Borchers, University of North Carolina, NC, USA 
Richard Burchmore, University of Glasgow, UK 
William Cho, Queen Elizabeth Hospital, Hong Kong
Jasminka Godovac Zimmermann, University College London, United Kingdom 
Seth Grant, University of Edinburgh, UK
Canhua Huang, National Key Laboratory of Biotherapy, West China Hospital, Sichuan University, China
Thomas Joos, University of Tuebingen, Germany 
Tadashi Kondo, National Cancer Center Research Institute, Japan 
Lydie Lane, wiss Institute of Bioinformatics, Switzerland 
Lance Liotta, George Mason University, VA, USA 
Stefania Mondello, University of Messina, Messina, Italy
Kazuyuki Nakamura, Yamaguchi University School of Medicine, Japan 
Edouard Nice, Monash University, Australia 
Gil Omenn, University of Michigan, IL, USA 
Andrew Ottens, Virginia Commonwealth University, VA, USA 
Emanuel Petricoin III, George Mason University, VA, USA
Wei-Jun Qian, Pacific Northwest National Laboratory, Richland, WA, USA 
Om Singh, The Johns Hopkins School of Medicine, MD, USA 
Gary Smejkal,  Hubbard Center for Genome Studies, University of New Hampshire, Durham, NH, USA 
Christopher Southan, IUPHAR Database, TW2Informatics, Sweden 
Visith Thongboonkerd, Mahidol University, Thailand
Rui Vitorino, University of Aveiro, Portugal
Kui Wang, National Key Laboratory of Biotherapy, West China Hospital, Sichuan University, China
Tesshi Yamada, National Cancer Center Research Institute, Japan
Petra Zürbig, mosaiques diagnostics GmbH, Hannover, Germany