| Year |
Citation |
Score |
| 2019 |
Theofilatos K, Korfiati A, Mavroudi S, Cowperthwaite MC, Shpak M. Discovery of stroke-related blood biomarkers from gene expression network models. Bmc Medical Genomics. 12: 118. PMID 31391037 DOI: 10.1186/S12920-019-0566-8 |
0.325 |
|
| 2019 |
Nadasdy Z, Shpak M, Cowperthwaite M. Abstract WP48: Real-world Outcomes Following Mechanical Thrombectomy and tPA Treatment of Acute Ischemic Strokes Stroke. 50. DOI: 10.1161/Str.50.Suppl_1.Wp48 |
0.302 |
|
| 2019 |
Theofilatos K, Korfiati A, Mavroudi S, Cowperthwaite M, Shpak M. Abstract TP259: Discovery of Stroke-Related Blood Biomarkers From Gene Expression Network Models Stroke. 50. DOI: 10.1161/Str.50.Suppl_1.Tp259 |
0.304 |
|
| 2019 |
Lei S, Cowperthwaite M, Owunna A, Nadasdy Z, Shpak M. Abstract TP22: A Comparison of Clinical Outcomes Among Patients Receiving Mechanical Thrombectomies and tPA Stroke. 50. DOI: 10.1161/Str.50.Suppl_1.Tp22 |
0.316 |
|
| 2018 |
Shpak M, Ramakrishnan A, Nadasdy Z, Cowperthwaite M, Fanale C. Higher Incidence of Ischemic Stroke in Patients Taking Novel Oral Anticoagulants. Stroke. 49: 2851-2856. PMID 30571404 DOI: 10.1161/Strokeaha.118.022636 |
0.325 |
|
| 2018 |
Nadasdy Z, Shpak M, Cowperthwaite MC, Ramakrishnan A, Jennings J, Moody A, Orndorff K, Fanale CV. Abstract WP277: Stroke Triage and Diagnosis Processes Associated With Improved Door-to-Needle Time and tPA Rates Stroke. 49. DOI: 10.1161/Str.49.Suppl_1.Wp277 |
0.304 |
|
| 2018 |
Shpak M, Nadasdy Z, Cowperthwaite M, Ramakrishnan A, Orndorff K, Fanale CV. Abstract TMP54: Stroke Incidence Among Atrial Fibrillation Patients Taking Novel Oral Anticoagulants (noacs) Compared to Warfarin Stroke. 49. DOI: 10.1161/Str.49.Suppl_1.Tmp54 |
0.301 |
|
| 2016 |
Lu J, Cowperthwaite MC, Burnett MG, Shpak M. Molecular Predictors of Long-Term Survival in Glioblastoma Multiforme Patients. Plos One. 11: e0154313. PMID 27124395 DOI: 10.1371/Journal.Pone.0154313 |
0.308 |
|
| 2016 |
Derryberry DZ, Cowperthwaite MC, Wilke CO. Reproducibility of SNV-calling in multiple sequencing runs from single tumors. Peerj. 4: e1508. PMID 26855855 DOI: 10.7717/Peerj.1508 |
0.359 |
|
| 2015 |
Shpak M, Goldberg MM, Cowperthwaite MC. Rapid and convergent evolution in the glioblastoma multiforme genome. Genomics. 105: 159-67. PMID 25576655 DOI: 10.1016/J.Ygeno.2014.12.010 |
0.382 |
|
| 2012 |
Ramsey DC, Burnett MG, Cowperthwaite MC. Quantifying the Contribution of Risk Factors for Ischemic Stroke in Patients with a History of TIA Isrn Stroke. 2012: 1-7. DOI: 10.5402/2012/976045 |
0.322 |
|
| 2011 |
Cowperthwaite MC, Burnett MG. An analysis of admissions from 155 United States hospitals to determine the influence of weather on stroke incidence. Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia. 18: 618-23. PMID 21398128 DOI: 10.1016/J.Jocn.2010.08.035 |
0.314 |
|
| 2008 |
Cowperthwaite MC, Economo EP, Harcombe WR, Miller EL, Meyers LA. The ascent of the abundant: how mutational networks constrain evolution. Plos Computational Biology. 4: e1000110. PMID 18636097 DOI: 10.1371/Journal.Pcbi.1000110 |
0.568 |
|
| 2007 |
Cowperthwaite MC, Meyers LA. How mutational networks shape evolution: Lessons from RNA models Annual Review of Ecology, Evolution, and Systematics. 38: 203-230. DOI: 10.1146/Annurev.Ecolsys.38.091206.095507 |
0.568 |
|
| 2006 |
Cowperthwaite MC, Bull JJ, Meyers LA. From bad to good: Fitness reversals and the ascent of deleterious mutations. Plos Computational Biology. 2: e141. PMID 17054393 DOI: 10.1371/Journal.Pcbi.0020141 |
0.557 |
|
| 2005 |
Cowperthwaite MC, Bull JJ, Meyers LA. Distributions of beneficial fitness effects in RNA. Genetics. 170: 1449-57. PMID 15944361 DOI: 10.1534/Genetics.104.039248 |
0.555 |
|
| 2004 |
Meyers LA, Lee JF, Cowperthwaite M, Ellington AD. The robustness of naturally and artificially selected nucleic acid secondary structures Journal of Molecular Evolution. 58: 681-691. PMID 15461425 DOI: 10.1007/S00239-004-2590-2 |
0.555 |
|
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