Scott N. Hwang - Concepedia

Author

Scott N. Hwang

Also Known As

'poly-Bi6s, S Hwang, S N Hwang, S. Hwang, S.N. Hwang, Sae Yeon Hwang, Sara I. Hwang, Scott Hwang, Scott N Hwang, Scott N. Hwang

Publications

3.4K

Citations

H-Index

Concepts

All Affiliations

University of Pennsylvania St. Jude Children's Research Hospital Emory University Thomas Jefferson University Hospital The University of Texas MD Anderson Cancer Center

About

Scott N. Hwang is an author at University of Pennsylvania specializing in medicine, biomedical imaging, and radiology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	16	17	909
2	Engineering	9	9	495
3	Health Sciences	4	4	322
4	Language Studies	1	1	14
5	Public Health	1	1	37

Scott N. Hwang

Publications

3.2K

Citations

H-Index

Page 1

	Year	Citations
MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set David A. Gutman, Lee Cooper, Scott N. Hwang, Radiology	2013	411
Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor Rajan Jain, Laila Poisson, David A. Gutman, Radiology	2014	229
Digital Topological Analysis of In Vivo Magnetic Resonance Microimages of Trabecular Bone Reveals Structural Implications of Osteoporosis Félix W. Wehrli, Bryon R. Gomberg, Punam K. Saha, Journal of Bone and Mineral Research	2001	216
Cancellous bone volume and structure in the forearm: noninvasive assessment with MR microimaging and image processing. Félix W. Wehrli, Scott N. Hwang, Jiong Ma, Radiology	1998	190
Cross-sectional Study of Osteopenia with Quantitative MR Imaging and Bone Densitometry Félix W. Wehrli, Jeffrey A. Hopkins, Scott N. Hwang, Radiology	2000	161
Topological analysis of trabecular bone MR images Bryon R. Gomberg, Punam K. Saha, Hee Kwon Song, IEEE Transactions on Medical Imaging Topological ParametersBone ImagingEngineeringMedical ImagingTopological Analysis	2000	142
Genomic Mapping and Survival Prediction in Glioblastoma: Molecular Subclassification Strengthened by Hemodynamic Imaging Biomarkers Rajan Jain, Laila Poisson, Jayant Narang, Radiology	2012	138
Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients Manal Nicolas‐Jilwan, Ying Hu, Chunhua Yan, Journal of Neuroradiology Neuro-oncologyMedicineGenetic BiomarkersCancer GenomicsNeurology	2014	134
Leukoencephalopathy and long-term neurobehavioural, neurocognitive, and brain imaging outcomes in survivors of childhood acute lymphoblastic leukaemia treated with chemotherapy: a longitudinal analysis Yin Ting Cheung, Noah D. Sabin, Wilburn E. Reddick, The Lancet Haematology Hematological MalignancyNeuro-oncologyLongitudinal AnalysisOncologyHematology	2016	123
Indirect measurement of regional axon diameter in excised mouse spinal cord with q-space imaging: Simulation and experimental studies Henry H. Ong, Alex C. Wright, Suzanne Wehrli, NeuroImage Spinal Cord InjuryQ-space ImagingPeripheral Nerve InjuryNeurophysiologyNeuroanatomy	2008	115

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