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2024 연구자 정보 (311 / 1079)

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Author Name 제1저자 여부 교신저자 여부 Address ResearcherID ORCID Paper Title WoS Edition 최상위 JCR(%) WoS Category Related Email
Horowitz, Mary M.
(Horowitz, MM)
Med Coll Wisconsin, Ctr Int Blood & Marrow Transplant Res, Milwaukee, WI USA

[JCR상위 10.7] Continuous and differential improvement in worldwide access to hematopoietic cell transplantation: activity has doubled in a decade with a notable increase in unrelated and non-identical related donors SCIE 10.7 HEMATOLOGY y-atsuta@jdchct.or.jp;
Iida, Minako
(Iida, M)
Aichi Med Univ, Sch Med, Dept Promot Blood & Marrow Transplantat, Nagakute, Japan

[JCR상위 10.7] Continuous and differential improvement in worldwide access to hematopoietic cell transplantation: activity has doubled in a decade with a notable increase in unrelated and non-identical related donors SCIE 10.7 HEMATOLOGY y-atsuta@jdchct.or.jp;
Jang, Hee Ryeong
(Jang, HR)
Kangwon Natl Univ Hosp, Nephrol, Chuncheon Si, Gangwon Do, South Korea

[JCR상위 10.7] Superior outcomes and high-risk features with carfilzomib, lenalidomide, and dexamethasone combination therapy for patients with relapsed and refractory multiple myeloma: results of the multicenter KMMWP2201 study SCIE 10.7 HEMATOLOGY kshmoon@dau.ac.kr;kihyunkimk@gmail.com;
Jang, Kyung-Mi
(Jang, KM)
Yeungnam Univ, Sch Med, Dept Pediat, Yeungnam Univ Hosp, Daegu, South Korea

[JCR상위 10.7] Clinical characteristics and outcomes of COVID-19 in child-ren and adolescents with diabetes in Daegu, South Korea ESCI 10.7 ENDOCRINOLOGY & METABOLISM;PEDIATRICS subuya@hanmail.net;kimjk@cu.ac.kr;
Jung, Ho-Young
(Jung, HY)
교신저자 Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu, South Korea
Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea
Kyungpook Natl Univ, Grad Sch, Dept Artificial Intelligence, Daegu 41566, South Korea


STETHOSCOPE-GUIDED SUPERVISED CONTRASTIVE LEARNING FOR CROSS-DOMAIN ADAPTATION ON RESPIRATORY SOUND CLASSIFICATION
[JCR상위 10.7] A Military Audio Dataset for Situational Awareness and Surveillance
[JCR상위 1.9] Multiplexed detection platform implemented with magnetic encoding and deep learning-based decoding for quantitative analysis of exosomes from cancers
SCIE 1.9 MULTIDISCIPLINARY SCIENCES
CHEMISTRY, ANALYTICAL;ELECTROCHEMISTRY;INSTRUMENTS & INSTRUMENTATION
kaen2891@knu.ac.kr;hoyjung@knu.ac.kr;
hoyjung@knu.ac.kr;
mcbaek@knu.ac.kr;hahnv@knu.ac.kr;
Jung, Jongheon
(Jung, J)
Natl Canc Ctr, Dept Hematol Oncol, Ctr Hematol Malignancy, Goyang, South Korea

[JCR상위 10.7] Superior outcomes and high-risk features with carfilzomib, lenalidomide, and dexamethasone combination therapy for patients with relapsed and refractory multiple myeloma: results of the multicenter KMMWP2201 study SCIE 10.7 HEMATOLOGY kshmoon@dau.ac.kr;kihyunkimk@gmail.com;
Kalwak, Krzysztof
(Kalwak, K)
Wroclaw Med Univ, Dept Pediat Hematol Oncol & BMT, Wroclaw, Poland U-1724-2019
Kalwak, Krzysztof

[JCR상위 10.7] Continuous and differential improvement in worldwide access to hematopoietic cell transplantation: activity has doubled in a decade with a notable increase in unrelated and non-identical related donors SCIE 10.7 HEMATOLOGY y-atsuta@jdchct.or.jp;
Kang, Eungu
(Kang, EG)
Korea Univ, Ansan Hosp, Dept Pediat, Ansan 425707, Kyunggi, South Korea

[JCR상위 10.7] Cohort profile: Multicenter Networks for Ideal Outcomes of Rare Pediatric Endocrine and Metabolic Diseases in Korea (OUTSPREAD study) ESCI 10.7 ENDOCRINOLOGY & METABOLISM;PEDIATRICS nadri1217@naver.com;nina337@snu.ac.kr;
Kang, Seok-Jin
(Kang, SJ)
Keimyung Univ, Keimyung Univ Hosp, Sch Med, Dept Pediat, Daegu, South Korea KHX-7614-2024
Kang, Seok-jin

[JCR상위 10.7] Clinical characteristics and outcomes of COVID-19 in child-ren and adolescents with diabetes in Daegu, South Korea ESCI 10.7 ENDOCRINOLOGY & METABOLISM;PEDIATRICS subuya@hanmail.net;kimjk@cu.ac.kr;
Karduss, Amado
(Karduss, A)
Inst Cancerol Clin Las Amer, Medellin, Colombia

[JCR상위 10.7] Continuous and differential improvement in worldwide access to hematopoietic cell transplantation: activity has doubled in a decade with a notable increase in unrelated and non-identical related donors SCIE 10.7 HEMATOLOGY y-atsuta@jdchct.or.jp;
Kim, Hae Soon
(Kim, HS)
Ewha Womans Univ, Coll Med, Dept Pediat, Seoul, South Korea

[JCR상위 10.7] Cohort profile: Multicenter Networks for Ideal Outcomes of Rare Pediatric Endocrine and Metabolic Diseases in Korea (OUTSPREAD study) ESCI 10.7 ENDOCRINOLOGY & METABOLISM;PEDIATRICS nadri1217@naver.com;nina337@snu.ac.kr;
Kim, Hae- Sook
(Kim, HS)
Daegu Fatima Hosp, Dept Pediat, Daegu, South Korea

[JCR상위 10.7] Clinical characteristics and outcomes of COVID-19 in child-ren and adolescents with diabetes in Daegu, South Korea ESCI 10.7 ENDOCRINOLOGY & METABOLISM;PEDIATRICS subuya@hanmail.net;kimjk@cu.ac.kr;
Kim, Jaehyun
(Kim, J)
Seoul Natl Univ, Bundang Hosp, Dept Pediat, Seongnam, South Korea
Seoul Natl Univ, Coll Med, Dept Pediat, Seoul 03080, South Korea


[JCR상위 10.7] Cohort profile: Multicenter Networks for Ideal Outcomes of Rare Pediatric Endocrine and Metabolic Diseases in Korea (OUTSPREAD study) ESCI 10.7 ENDOCRINOLOGY & METABOLISM;PEDIATRICS nadri1217@naver.com;nina337@snu.ac.kr;
Kim, Jin Kyung
(Kim, JK)
Daegu Catholic Univ, Daegu Catholic Univ Sch Med, Dept Nucl Med, Med Ctr, Daegu 42472, South Korea

[JCR상위 10.7] Cohort profile: Multicenter Networks for Ideal Outcomes of Rare Pediatric Endocrine and Metabolic Diseases in Korea (OUTSPREAD study) ESCI 10.7 ENDOCRINOLOGY & METABOLISM;PEDIATRICS nadri1217@naver.com;nina337@snu.ac.kr;
Kim, June-Woo
(Kim, JW)
제1저자 Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu, South Korea
MODULABS, RSC LAB, Seoul, South Korea
Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea
Kyungpook Natl Univ, Grad Sch, Dept Artificial Intelligence, Daegu 41566, South Korea
Kyungpook Natl Univ, Dept AI, Daegu, South Korea


STETHOSCOPE-GUIDED SUPERVISED CONTRASTIVE LEARNING FOR CROSS-DOMAIN ADAPTATION ON RESPIRATORY SOUND CLASSIFICATION
[JCR상위 10.7] A Military Audio Dataset for Situational Awareness and Surveillance
[JCR상위 1.9] Multiplexed detection platform implemented with magnetic encoding and deep learning-based decoding for quantitative analysis of exosomes from cancers
BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification
SCIE 1.9 MULTIDISCIPLINARY SCIENCES
CHEMISTRY, ANALYTICAL;ELECTROCHEMISTRY;INSTRUMENTS & INSTRUMENTATION
kaen2891@knu.ac.kr;hoyjung@knu.ac.kr;
hoyjung@knu.ac.kr;
mcbaek@knu.ac.kr;hahnv@knu.ac.kr;
kaen2891@knu.ac.kr;seongeun.moon@navercorp.com;hoyjung@knu.ac.kr;
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