MSU faculty members recognized among the world’s most highly cited researchers
Six Michigan State University faculty members have earned a spot on the Thomson Reuters highly cited researchers list for 2016.
This year’s list honors approximately 3,000 scientists from around the globe who have been most cited by their peers and are considered to be among the world’s most highly influential scientific minds. The list is based on analysis of peer-reviewed research paper and manuscript citations between 2004 and 2014 in 22 broad natural and social science disciplines.
Researchers named to the prestigious list are:
Gregg Howe, MSU Foundation professor in the Department of Biochemistry and Molecular Biology, and a member of the MSU-DOE Plant Research Lab, investigates how plants respond to insect herbivory and other forms of wound stress.
Mark Meerschaert, professor in the Department of Statistics and Probability, covers many topics in his research including probability, statistics, statistical physics, mathematical modeling and operations.
John Ohlrogge, professor emeritus and University Distinguished Professor in the Department of Plant Biology and member of the Great Lakes Bioenergy Research Center, conducts research to understand how plants control the activity of fatty acid synthesis and lipid metabolism pathways.
Curtis Wilkerson, associate professor in the Departments of Plant Biology and Biochemistry and Molecular Biology and member of the Great Lakes Bioenergy Research Center, conducts research on plant cell wall biosynthesis, with a focus on the production of hemicelluloses and their function in the cell wall.
James Cole, director of the Ribosomal Database Project in the Department of Plant, Soil and Microbial Sciences in the College of Agriculture and Natural Resources, helps to provide ribosome related data services to the scientific community.
Anil Jain, University Distinguished Professor in the Department of Computer Science and Engineering in the College of Engineering, his research interests include pattern recognition, computer vision and biometric recognition.
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