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2022 연구성과별 연구자 정보 (1592 / 2879)
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| Document Title | Author Full Name | Author Short Name | Index | Corresponding | Address | ResearcherID | ResearcherID Author Name | ORCID | ORCID Author Name | Related Email |
|---|---|---|---|---|---|---|---|---|---|---|
| Lycopus lucidus Turcz Water Extract Ameliorates the Metabolic Disorder by Up-Regulated Major Urinary Protein Expression in High-Fat Diet-Induced Obesity | Han, Youngji | Han, YJ | 1 | Kyungpook Natl Univ, Ctr Beautiful Aging, 1370 San Kyuk Dong Puk Ku, Daegu 41566, South Korea | 0000-0003-2270-8176 | Han, Youngji | youngji.kor.han@gmail.com;jychoi@chosun.ac.kr;eykwon@knu.ac.kr; | |||
| Lycopus lucidus Turcz Water Extract Ameliorates the Metabolic Disorder by Up-Regulated Major Urinary Protein Expression in High-Fat Diet-Induced Obesity | Choi, Ji-Young | Choi, JY | 2 | Chosun Univ, Dept Food & Nutr, 309 Pilmun Daero, Gwangju 61452, South Korea | youngji.kor.han@gmail.com;jychoi@chosun.ac.kr;eykwon@knu.ac.kr; | |||||
| Lycopus lucidus Turcz Water Extract Ameliorates the Metabolic Disorder by Up-Regulated Major Urinary Protein Expression in High-Fat Diet-Induced Obesity | Kwon, Eun-Young | Kwon, EY | 3 | 교신저자 | Kyungpook Natl Univ, Dept Food Sci & Nutr, 1370 San Kyuk Dong Puk Ku, Daegu 41566, South Korea | youngji.kor.han@gmail.com;jychoi@chosun.ac.kr;eykwon@knu.ac.kr; | ||||
| Lycopus lucidus Turcz Water Extract Ameliorates the Metabolic Disorder by Up-Regulated Major Urinary Protein Expression in High-Fat Diet-Induced Obesity | Kwon, Eun-Young | Kwon, EY | 3 | 교신저자 | Kyungpook Natl Univ, Ctr Food & Nutr Genom Res, 1370 San Kyuk Dong Puk Ku, Daegu 41566, South Korea | youngji.kor.han@gmail.com;jychoi@chosun.ac.kr;eykwon@knu.ac.kr; | ||||
| Lycopus lucidus Turcz Water Extract Ameliorates the Metabolic Disorder by Up-Regulated Major Urinary Protein Expression in High-Fat Diet-Induced Obesity | Kwon, Eun-Young | Kwon, EY | 3 | 교신저자 | Kyungpook Natl Univ, Ctr Beautiful Aging, 1370 San Kyuk Dong Puk Ku, Daegu 41566, South Korea | youngji.kor.han@gmail.com;jychoi@chosun.ac.kr;eykwon@knu.ac.kr; | ||||
| Lymphangiomatosis of spleen, fallopian tube and abdominal wall associated with mucinous cystadenoma of the right ovary | Park, Jinyoung | Park, J | 1 | 교신저자 | Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Pediat Surg, 130 Dongduk Ro, Daegu 41944, South Korea | 0000-0003-4708-6203 | Park, Jinyoung | kpnugs@knu.ac.kr; | ||
| Lymphoepithelial cyst in the palatine tonsil A case report and literature review | Moon, Jae Yeon | Moon, JY | 1 | Kyungpook Natl Univ, Sch Med, Dept Otorhinolaryngol Head & Neck Surg, Daegu, South Korea | blueskyhsj@hanmail.net; | |||||
| Lymphoepithelial cyst in the palatine tonsil A case report and literature review | Kim, Namkyun | Kim, N | 2 | Kyungpook Natl Univ, Sch Med, Internal Med, Daegu, South Korea | 0000-0001-8457-0403 | KIM, NAMKYUN | blueskyhsj@hanmail.net; | |||
| Lymphoepithelial cyst in the palatine tonsil A case report and literature review | Jeong, Ji Yun | Jeong, JY | 3 | Kyungpook Natl Univ, Sch Med, Pathol, Daegu, South Korea | blueskyhsj@hanmail.net; | |||||
| Lymphoepithelial cyst in the palatine tonsil A case report and literature review | Kim, Jung Soo | Kim, JS | 4 | Kyungpook Natl Univ, Sch Med, Dept Otorhinolaryngol Head & Neck Surg, Daegu, South Korea | blueskyhsj@hanmail.net; | |||||
| Lymphoepithelial cyst in the palatine tonsil A case report and literature review | Heo, Sung Jae | Heo, SJ | 5 | 교신저자 | Kyungpook Natl Univ, Sch Med, Dept Otorhinolaryngol Head & Neck Surg, Daegu, South Korea | blueskyhsj@hanmail.net; | ||||
| M2-branes wrapped on a topological disk | Suh, Minwoo | Suh, MW | 1 | 교신저자 | Kyungpook Natl Univ, Dept Phys, Daegu 41566, South Korea | JKI-1897-2023 | Suh, Minwoo | minwoosuh1@gmail.com; | ||
| Machine learning models to predict the maximum severity of COVID-19 based on initial hospitalization record | Hwangbo, Suhyun | Hwangbo, S | 1 | Seoul Natl Univ, Interdisciplinary Program Bioinformat, Seoul, South Korea | ksw2kms@knu.ac.kr;tspark@stats.snu.ac.kr; | |||||
| Machine learning models to predict the maximum severity of COVID-19 based on initial hospitalization record | Hwangbo, Suhyun | Hwangbo, S | 1 | Seoul Natl Univ Hosp, Dept Genom Med, Seoul, South Korea | ksw2kms@knu.ac.kr;tspark@stats.snu.ac.kr; | |||||
| Machine learning models to predict the maximum severity of COVID-19 based on initial hospitalization record | Kim, Yoonjung | Kim, Y | 2 | Kyungpook Natl Univ, Sch Med, Dept Internal Med, Daegu, South Korea | ksw2kms@knu.ac.kr;tspark@stats.snu.ac.kr; |
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