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Connection

Ronald Harwerth to Retinal Ganglion Cells

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This is a "connection" page, showing publications Ronald Harwerth has written about Retinal Ganglion Cells.
Ronald Harwerth
Connection Strength
4.636
Retinal Ganglion Cells
  1. The relationship between retinal nerve fiber layer thickness and optic nerve head neuroretinal rim tissue in glaucoma. Invest Ophthalmol Vis Sci. 2014 Sep 23; 55(10):6802-16.
    View in: PubMed
    Score: 0.416
  2. Age-associated changes in the retinal nerve fiber layer and optic nerve head. Invest Ophthalmol Vis Sci. 2014 Jul 22; 55(8):5134-43.
    View in: PubMed
    Score: 0.411
  3. Influence of anterior segment power on the scan path and RNFL thickness using SD-OCT. Invest Ophthalmol Vis Sci. 2012 Aug 24; 53(9):5788-98.
    View in: PubMed
    Score: 0.360
  4. Agreement between retinal nerve fiber layer measures from Spectralis and Cirrus spectral domain OCT. Optom Vis Sci. 2012 May; 89(5):E652-66.
    View in: PubMed
    Score: 0.352
  5. Correlating RNFL thickness by OCT with perimetric sensitivity in glaucoma patients. J Glaucoma. 2012 Feb; 21(2):95-101.
    View in: PubMed
    Score: 0.346
  6. Retinal nerve fiber layer assessment: area versus thickness measurements from elliptical scans centered on the optic nerve. Invest Ophthalmol Vis Sci. 2011 Apr; 52(5):2477-89.
    View in: PubMed
    Score: 0.328
  7. Age-related losses of retinal ganglion cells and axons. Invest Ophthalmol Vis Sci. 2008 Oct; 49(10):4437-43.
    View in: PubMed
    Score: 0.269
  8. Modeling the effects of aging on retinal ganglion cell density and nerve fiber layer thickness. Graefes Arch Clin Exp Ophthalmol. 2008 Feb; 246(2):305-14.
    View in: PubMed
    Score: 0.257
  9. The relationship between nerve fiber layer and perimetry measurements. Invest Ophthalmol Vis Sci. 2007 Feb; 48(2):763-73.
    View in: PubMed
    Score: 0.245
  10. Visual field defects and retinal ganglion cell losses in patients with glaucoma. Arch Ophthalmol. 2006 Jun; 124(6):853-9.
    View in: PubMed
    Score: 0.234
  11. Scaling the structure--function relationship for clinical perimetry. Acta Ophthalmol Scand. 2005 Aug; 83(4):448-55.
    View in: PubMed
    Score: 0.221
  12. Neural losses correlated with visual losses in clinical perimetry. Invest Ophthalmol Vis Sci. 2004 Sep; 45(9):3152-60.
    View in: PubMed
    Score: 0.207
  13. Visual field defects and neural losses from experimental glaucoma. Prog Retin Eye Res. 2002 Jan; 21(1):91-125.
    View in: PubMed
    Score: 0.172
  14. The Relationship Between Macula Retinal Ganglion Cell Density and Visual Function in the Nonhuman Primate. Invest Ophthalmol Vis Sci. 2021 01 04; 62(1):5.
    View in: PubMed
    Score: 0.161
  15. Neuroretinal rim response to transient changes in intraocular pressure in healthy non-human primate eyes. Exp Eye Res. 2020 04; 193:107978.
    View in: PubMed
    Score: 0.151
  16. The effects of graded intraocular pressure challenge on the optic nerve head. Exp Eye Res. 2018 04; 169:79-90.
    View in: PubMed
    Score: 0.131
  17. In Vivo Changes in Lamina Cribrosa Microarchitecture and Optic Nerve Head Structure in Early Experimental Glaucoma. PLoS One. 2015; 10(7):e0134223.
    View in: PubMed
    Score: 0.110
  18. Relation between macular retinal ganglion cell/inner plexiform layer thickness and multifocal electroretinogram measures in experimental glaucoma. Invest Ophthalmol Vis Sci. 2014 Jun 26; 55(7):4512-24.
    View in: PubMed
    Score: 0.102
  19. Loss of the low-frequency component of the global-flash multifocal electroretinogram in primate eyes with experimental glaucoma. Invest Ophthalmol Vis Sci. 2011 Jun 01; 52(6):3792-804.
    View in: PubMed
    Score: 0.083
  20. Charles F. Prentice Award Lecture 2006: a neuron doctrine for glaucoma. Optom Vis Sci. 2008 Jun; 85(6):436-44.
    View in: PubMed
    Score: 0.067
  21. Effect of experimental glaucoma in primates on oscillatory potentials of the slow-sequence mfERG. Invest Ophthalmol Vis Sci. 2006 Feb; 47(2):753-67.
    View in: PubMed
    Score: 0.014
Connection Strength

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Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.