Mark A. Rutherford, Ph.D.
|2000-2009||Biology||University of Oregon, Eugene, OR, United States|
|2009-2013||Otolaryngology||University of Goettingen Medical School|
|2013-||Otolaryngology||Washington University, Saint Louis, St. Louis, MO|
Area:hair cells, auditory nerve fibers
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Mean distance: 15.39 (cluster 11)
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|Kim KX, Payne S, Yang-Hood A, et al. (2019) Vesicular Glutamatergic Transmission in Noise-induced Loss and Repair of Cochlear Ribbon Synapses. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience|
|Hirose K, Rutherford MA, Warchol ME. (2017) Two cell populations participate in clearance of damaged hair cells from the sensory epithelia of the inner ear. Hearing Research|
|Ohn TL, Rutherford MA, Jing Z, et al. (2016) Hair cells use active zones with different voltage dependence of Ca2+ influx to decompose sounds into complementary neural codes. Proceedings of the National Academy of Sciences of the United States of America|
|Kim KX, Rutherford MA. (2016) Maturation of NaV and KV Channel Topographies in the Auditory Nerve Spike Initiator before and after Developmental Onset of Hearing Function. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 2111-8|
|Verbruggen SW, Loo JH, Hayat TT, et al. (2015) Modeling the biomechanics of fetal movements. Biomechanics and Modeling in Mechanobiology|
|Wright R, Makropoulos A, Kyriakopoulou V, et al. (2015) Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching. Neuroimage. 120: 467-80|
|Toulmin H, Beckmann CF, O'Muircheartaigh J, et al. (2015) Specialization and integration of functional thalamocortical connectivity in the human infant. Proceedings of the National Academy of Sciences of the United States of America. 112: 6485-90|
|Rutherford MA. (2015) Resolving the structure of inner ear ribbon synapses with STED microscopy. Synapse (New York, N.Y.). 69: 242-55|
|Rutherford MA, Ward P, Malamateniou C. (2015) Corrigendum to Advanced MR techniques in the term-born neonate with perinatal brain injury [Semin Fetal Neonatal Med, 10, 5, (2005), 445-460] doi: 10.1016/j.siny.2005.05.005 Seminars in Fetal and Neonatal Medicine. 20: 374|
|Zimmer VA, Glocker B, Aljabar P, et al. (2015) Learning and combining image similarities for neonatal brain population studies Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9352: 110-117|