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Mark D. Johnson

Researcher at University of Massachusetts Medical School

Publications -  301
Citations -  18425

Mark D. Johnson is an academic researcher from University of Massachusetts Medical School. The author has contributed to research in topics: Medicine & Gene. The author has an hindex of 60, co-authored 289 publications receiving 16103 citations. Previous affiliations of Mark D. Johnson include National Institutes of Health & Georgetown University Medical Center.

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Over-expression of tissue inhibitor of matrix metalloproteinases (TIMP1 and TIMP2) suppresses extravasation of pulmonary metastasis of a rat bladder carcinoma.

TL;DR: The results suggest that the net activity of matrix metalloproteinases of tumor cells may be a critical factor that controls extravasation at this distant metastatic site.
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The epidemiological transition: the current status of infectious diseases in the developed world versus the developing world.

TL;DR: The current status of Omran's Theory of Epidemiologic Transition is reviewed, comparing the burden of infectious diseases in the developed world versus the developing world and the challenge in accurately assessing infectious disease burden and developing effective interventions is reviewed.
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Proteomic Analysis in the Neurosciences

TL;DR: Rapid innovations in the core technologies required to characterize proteins on a global scale are poised to bring about a comprehensive understanding of how dynamic changes in protein expression, post-translational modification, and function affect complex signaling and regulatory networks.
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Cyclic nucleotide phosphodiesterase of the bovine retina: activity, subcellular distribution and kinetic parameters.

TL;DR: High phosphodiesterase activity was found in subcellular fractions of the bovine retina with more rapid hydrolysis of cyclic GMP than cyclic AMP in each fraction, and Rod outer segments and the supernatant fraction had highest activity.
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Meta-analysis of glioblastoma multiforme versus anaplastic astrocytoma identifies robust gene markers.

TL;DR: A meta-analysis of genome-scale mRNA expression data for 289 human malignant gliomas suggests that combined analysis of existing data sets can reveal new insights and that the large amount of publicly available cancer data sets should be further utilized in a similar manner.