Institution
Korea University
Education•Seoul, South Korea•
About: Korea University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Catalysis. The organization has 39756 authors who have published 82424 publications receiving 1860927 citations. The organization is also known as: Bosung College & Bosung Professional College.
Topics: Population, Catalysis, Thin film, Cancer, Medicine
Papers published on a yearly basis
Papers
More filters
••
636 citations
••
Samsung Medical Center1, University of Ulsan2, Ewha Womans University3, Ajou University4, New Generation University College5, Korea University6, Soonchunhyang University7, Konkuk University8, Hanyang University9, Sungkyunkwan University10, Wonkwang University11, Catholic University of Korea12, Inje University13, Yonsei University14, Kyungpook National University Hospital15, Dong-a University16, St Mary's Hospital17
TL;DR: The Task Force on Thyroid Nodules of the KSThR has revised the recommendations for the ultrasound diagnosis and imaging-based management of thyroid nodules, based on a comprehensive analysis of the current literature and the consensus of experts.
Abstract: The rate of detection of thyroid nodules and carcinomas has increased with the widespread use of ultrasonography (US), which is the mainstay for the detection and risk stratification of thyroid nodules as well as for providing guidance for their biopsy and nonsurgical treatment. The Korean Society of Thyroid Radiology (KSThR) published their first recommendations for the US-based diagnosis and management of thyroid nodules in 2011. These recommendations have been used as the standard guidelines for the past several years in Korea. Lately, the application of US has been further emphasized for the personalized management of patients with thyroid nodules. The Task Force on Thyroid Nodules of the KSThR has revised the recommendations for the ultrasound diagnosis and imaging-based management of thyroid nodules. The review and recommendations in this report have been based on a comprehensive analysis of the current literature and the consensus of experts.
634 citations
••
TL;DR: A set of computational algorithms are presented which, by leveraging the collective power of metabolic pathways and networks, predict functional activity directly from spectral feature tables without a priori identification of metabolites.
Abstract: The functional interpretation of high throughput metabolomics by mass spectrometry is hindered by the identification of metabolites, a tedious and challenging task. We present a set of computational algorithms which, by leveraging the collective power of metabolic pathways and networks, predict functional activity directly from spectral feature tables without a priori identification of metabolites. The algorithms were experimentally validated on the activation of innate immune cells.
633 citations
••
TL;DR: Various in vivo delivery strategies including chemical modification, conjugation, lipid-based techniques, polymer-based nanosystems, and physical methods, and the current progress in siRNA delivery systems for gynecologic, liver, lung, and prostate cancers is discussed.
631 citations
••
TL;DR: This review discussed remediation of PTEs contaminated soils through immobilization techniques using different soil amendments with respect to type of element, soil, and amendment, immobilization efficiency, underlying mechanisms, and field applicability.
630 citations
Authors
Showing all 40083 results
Name | H-index | Papers | Citations |
---|---|---|---|
Anil K. Jain | 183 | 1016 | 192151 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
Yongsun Kim | 156 | 2588 | 145619 |
Jongmin Lee | 150 | 2257 | 134772 |
Byung-Sik Hong | 146 | 1557 | 105696 |
Daniel S. Berman | 141 | 1363 | 86136 |
Christof Koch | 141 | 712 | 105221 |
David Y. Graham | 138 | 1047 | 80886 |
Suyong Choi | 135 | 1495 | 97053 |
Rudolph E. Tanzi | 135 | 638 | 85376 |
Sung Keun Park | 133 | 1567 | 96933 |
Tae Jeong Kim | 132 | 1420 | 93959 |
Robert S. Brown | 130 | 1243 | 65822 |
Mohammad Khaja Nazeeruddin | 129 | 646 | 85630 |
Klaus-Robert Müller | 129 | 764 | 79391 |