Ki Sa Sung

1.0k total citations
18 papers, 606 citations indexed

About

Ki Sa Sung is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Ki Sa Sung has authored 18 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Ki Sa Sung's work include Ubiquitin and proteasome pathways (12 papers), Cancer-related Molecular Pathways (8 papers) and Autophagy in Disease and Therapy (3 papers). Ki Sa Sung is often cited by papers focused on Ubiquitin and proteasome pathways (12 papers), Cancer-related Molecular Pathways (8 papers) and Autophagy in Disease and Therapy (3 papers). Ki Sa Sung collaborates with scholars based in South Korea, United States and Ethiopia. Ki Sa Sung's co-authors include Cheol Yong Choi, Yong Tae Kwon, Eun‐A Kim, Dong Wook Choi, Jianmei Zhu, Shanshan Zhu, Nathan A. Ellis, Catherine M. Guzzo, Michael J. Matunis and Sang‐Joon Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Ki Sa Sung

17 papers receiving 601 citations

Peers

Countries citing papers authored by Ki Sa Sung

Since Specialization

Citations

This map shows the geographic impact of Ki Sa Sung's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ki Sa Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ki Sa Sung more than expected).

Fields of papers citing papers by Ki Sa Sung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki Sa Sung. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ki Sa Sung. The network helps show where Ki Sa Sung may publish in the future.

Co-authorship network of co-authors of Ki Sa Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Ki Sa Sung. A scholar is included among the top collaborators of Ki Sa Sung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ki Sa Sung. Ki Sa Sung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	The N-degron pathway mediates the autophagic degradation of cytosolic mitochondrial DNA during sterile innate immune responses 2024 ·Cell Reports ·(unknown), (unknown), (unknown), (unknown), Sung Tae Kim, Ki Sa Sung, Dae-Ho Kim, Dong Hyun Kim, Yeon Sung Son, Jin‐Hyun Ahn, Dohyun Han, Yong Tae Kwon	0
2	Identification of Plasma Protein Biomarkers for Predicting Lung Cancer 2024 ·Anticancer Research ·Ki Sa Sung, Sang Jun Han, Ji-Hye Lee, Min‐Seok Kwon, Duk-Hwan Kim, Young Sun Oh	2
3	Functional impairment of the HIPK2 small ubiquitin-like modifier (SUMO)-interacting motif in acute myeloid leukemia. 2019 ·PubMed ·Ki Sa Sung, (unknown), (unknown), Yejin Park, (unknown), Cheol Yong Choi	8
4	Glioma‐derived cancer stem cells are hypersensitive to proteasomal inhibition 2016 ·EMBO Reports ·Young Dong Yoo, Dae‐Hee Lee, Hyunjoo Cha‐Molstad, Hyungsin Kim, Su Ran Mun, Chang Hoon Ji, Seong Hye Park, Ki Sa Sung, (unknown), Joonsung Hwang, Deric M. Park, (unknown), (unknown), Shin‐Hyuk Kang, Sang Cheul Oh, Aaron Ciechanover, Yong J. Lee, Bo Yeon Kim, Yong Tae Kwon	31
5	Modulation of SQSTM1/p62 activity by N-terminal arginylation of the endoplasmic reticulum chaperone HSPA5/GRP78/BiP 2016 ·Autophagy ·Hyunjoo Cha‐Molstad, Ji Eun Yu, Su Hyun Lee, Jung Gi Kim, Ki Sa Sung, Joonsung Hwang, Young Dong Yoo, Yoon Jee Lee, Sung Tae Kim, Dae Hee Lee, Aaron Ciechanover, Bo Yeon Kim, Yong Tae Kwon	27
6	TRAIL‐Induced Caspase Activation Is a Prerequisite for Activation of the Endoplasmic Reticulum Stress‐Induced Signal Transduction Pathways 2015 ·Journal of Cellular Biochemistry ·Dae‐Hee Lee, Ki Sa Sung, Zong Sheng Guo, (unknown), David L. Bartlett, Sang Cheul Oh, Yong Tae Kwon, Yong J. Lee	12
7	HSP90 inhibitor NVP-AUY922 enhances TRAIL-induced apoptosis by suppressing the JAK2-STAT3-Mcl-1 signal transduction pathway in colorectal cancer cells 2014 ·Cellular Signalling ·Dae-Hee Lee, Ki Sa Sung, David L. Bartlett, Yong Tae Kwon, Yong J. Lee	43
8	Cell cycle-dependent SUMO-1 conjugation to nuclear mitotic apparatus protein (NuMA) 2013 ·Biochemical and Biophysical Research Communications ·(unknown), Hana Kim, (unknown), (unknown), Eun‐A Kim, Ki Sa Sung, (unknown), Hae Yong Yoo, Cheol Yong Choi	9
9	The N-end rule proteolytic system in autophagy 2013 ·Autophagy ·Sung Tae Kim, Takafumi Tasaki, Adriana Zakrzewska, Young Dong Yoo, Ki Sa Sung, (unknown), Hyunjoo Cha‐Molstad, Joonsung Hwang, Kyoung‐A Kim, Bo Yeon Kim, Yong Tae Kwon	25
10	UBR box N-recognin-4 (UBR4), an N-recognin of the N-end rule pathway, and its role in yolk sac vascular development and autophagy 2013 ·Proceedings of the National Academy of Sciences ·Takafumi Tasaki, Sung Tae Kim, Adriana Zakrzewska, Bo Eun Lee, Min Jueng Kang, Young Dong Yoo, (unknown), Joonsung Hwang, Nak‐Kyun Soung, Ki Sa Sung, Su-Hyeon Kim, Minh Dang Nguyen, Ming Sun, Eugene C. Yi, Bo Yeon Kim, Yong Tae Kwon	61
11	Mdm2 associates with Ras effector NORE1 to induce the degradation of oncoprotein HIPK1 2011 ·EMBO Reports ·(unknown), Sang‐Joon Park, Ki Sa Sung, (unknown), Sean Bong Lee, Sang‐Yoon Park, Hyo‐Jeong Lee, (unknown), So Jung Choi, Seok‐Geun Lee, Sung‐Hoon Kim, Duk‐Hwan Kim, Jhingook Kim, Yongsok Kim, Cheol Yong Choi	24
12	Pellino-1, an Adaptor Protein of Interleukin-1 Receptor/Toll-like Receptor Signaling, Is Sumoylated by Ubc9 2010 ·Molecules and Cells ·Jun Hwan Kim, Ki Sa Sung, Su Myung Jung, Youn Sook Lee, Jae Young Kwon, Cheol Yong Choi, Seok Hee Park	12
13	Role of the SUMO-interacting motif in HIPK2 targeting to the PML nuclear bodies and regulation of p53 2010 ·Experimental Cell Research ·Ki Sa Sung, Yun-Ah Lee, Eui Tae Kim, (unknown), Jin‐Hyun Ahn, Cheol Yong Choi	42
14	Homeodomain-interacting protein kinase 2 (HIPK2) targets β-catenin for phosphorylation and proteasomal degradation 2010 ·Biochemical and Biophysical Research Communications ·Eun‐A Kim, Ji Eon Kim, Ki Sa Sung, Dong Wook Choi, Byeong Jae Lee, Cheol Yong Choi	35
15	Small Ubiquitin-related Modifier (SUMO) Binding Determines Substrate Recognition and Paralog-selective SUMO Modification 2008 ·Journal of Biological Chemistry ·Jianmei Zhu, Shanshan Zhu, Catherine M. Guzzo, Nathan A. Ellis, Ki Sa Sung, Cheol Yong Choi, Michael J. Matunis	115
16	Ubiquitination and Degradation of Homeodomain-interacting Protein Kinase 2 by WD40 Repeat/SOCS Box Protein WSB-1 2007 ·Journal of Biological Chemistry ·Dong Wook Choi, (unknown), Eun‐A Kim, Ki Sa Sung, (unknown), Sang‐Joon Park, (unknown), Cheol Yong Choi	88
17	Desumoylation of homeodomain‐interacting protein kinase 2 (HIPK2) through the cytoplasmic‐nuclear shuttling of the SUMO‐specific protease SENP1 2005 ·FEBS Letters ·Young Ho Kim, Ki Sa Sung, Sook-Jeong Lee, (unknown), Yongsok Kim, Cheol Yong Choi, (unknown), (unknown)	40
18	Differential interactions of the homeodomain‐interacting protein kinase 2 (HIPK2) by phosphorylation‐dependent sumoylation 2005 ·FEBS Letters ·Ki Sa Sung, Yoon Young Go, Jin‐Hyun Ahn, Young Ho Kim, Yongsok Kim, Cheol Yong Choi	32

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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