Institution

University of North Carolina at Chapel Hill

Reviewers: 105

48th in USA

Reviews: 1049

52nd in USA

Merit: 3087

54th in USA

Openness: 1.2

128th in USA

Journal Editors at University of North Carolina at Chapel Hill

Reviewers from University of North Carolina at Chapel Hill

  • Reviewer

    Song Zhang

    First-author publications:

    (Nature 2017) Reversing SKI–SMAD4-mediated suppression is essential for TH17 cell differentiation

    (Immunity 2015) A critical role for transcription factor Smad4 in T cell function that is independent of transforming growth factor β receptor signaling

    (Hepatology 2013) High susceptibility to liver injury in IL‐27 p28 conditional knockout mice involves intrinsic interferon‐γ dysregulation of CD4+ T cells

  • Reviewer

    Giuseppe Chiarioni

    Member of Internation Committes on Functional Gastrointestinal Disorders and on Standardization of Diagnostic Tools

  • Reviewer

    Eugene Muratov

    Research Assistant Professor and Vice-Director of Laboratory for Molecular Modeling, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, USA. In 2015-2017 he is also Invited Professor in the Deparment of Pharmacy in Federal University of Goias, Goiania, Brazil. He obtained MS in Chemical Technology from Odessa National Polytechnic University in 2000 and PhD in Organic Chemistry from A.V. Bogatsky Physical-Chemical Institute NASU in 2004. Then he had postdoctoral positions in A.V. Bogatsky Physical-Chemical Institute, Odessa, Ukraine, Jackson State University, Jackson, USA; and University of North Carolina. Dr. Muratov was also working as invited researcher in S. Angelov Institute of Microbiology BAS, Sofia, Bulgaria, and University of Strasbourg, Strasbourg, France. The main areas of Dr. Muratov’s research combine methodology development and practical applications of computational tools. Theoretical areas include the development of descriptors for (nano)materials and chemical mixtures, new workflows for biomolecular data curation and analysis, novel approaches for QSAR model validation.