Chang K. Sung

1.2k total citations
19 papers, 1.0k citations indexed

About

Chang K. Sung is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Chang K. Sung has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Chang K. Sung's work include Renal and related cancers (5 papers), Polyomavirus and related diseases (5 papers) and Epigenetics and DNA Methylation (4 papers). Chang K. Sung is often cited by papers focused on Renal and related cancers (5 papers), Polyomavirus and related diseases (5 papers) and Epigenetics and DNA Methylation (4 papers). Chang K. Sung collaborates with scholars based in United States, South Korea and Germany. Chang K. Sung's co-authors include Donald A. Morrison, Peter C. Lau, Dennis G. Cvitkovitch, Thomas L. Benjamin, Hyungshin Yim, Erik Snesrud, Jennifer Walling, Robin T. Cline, Michelle Mintz and J. H. Gilbert and has published in prestigious journals such as PLoS ONE, Cancer Research and Journal of Virology.

In The Last Decade

Chang K. Sung

18 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chang K. Sung 501 344 250 168 154 19 1.0k
Francesca Fabretti 663 1.3× 185 0.5× 228 0.9× 202 1.2× 108 0.7× 33 1.3k
Vijaykumar Pancholi 330 0.7× 194 0.6× 415 1.7× 68 0.4× 55 0.4× 7 880
Asaf Sol 929 1.9× 120 0.3× 165 0.7× 60 0.4× 313 2.0× 26 1.6k
Simonetta Rindi 564 1.1× 178 0.5× 258 1.0× 75 0.4× 60 0.4× 45 1.2k
Evelien T.M. Berends 477 1.0× 166 0.5× 154 0.6× 87 0.5× 37 0.2× 14 1.3k
M J Preston 668 1.3× 73 0.2× 187 0.7× 163 1.0× 38 0.2× 19 1.1k
M. Florencia Haurat 684 1.4× 234 0.7× 92 0.4× 168 1.0× 98 0.6× 17 1.2k
Helen Schreiner 444 0.9× 125 0.4× 248 1.0× 177 1.1× 629 4.1× 29 1.1k
Daniel P. Miller 433 0.9× 87 0.3× 231 0.9× 61 0.4× 477 3.1× 47 1.1k
Justyna Karkowska‐Kuleta 352 0.7× 457 1.3× 80 0.3× 41 0.2× 213 1.4× 47 1.3k

Countries citing papers authored by Chang K. Sung

Since Specialization
Citations

This map shows the geographic impact of Chang K. 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 Chang K. Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang K. Sung more than expected).

Fields of papers citing papers by Chang K. Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang K. 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 Chang K. Sung. The network helps show where Chang K. Sung may publish in the future.

Co-authorship network of co-authors of Chang K. Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Chang K. Sung. A scholar is included among the top collaborators of Chang K. 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 Chang K. Sung. Chang K. Sung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Kim, Chang-Hyeon, Daeun Kim, Dae‐Hoon Kim, et al.. (2022). Mitotic protein kinase-driven crosstalk of machineries for mitosis and metastasis. Experimental & Molecular Medicine. 54(4). 414–425. 21 indexed citations
2.
Sung, Chang K. & Hyungshin Yim. (2020). CRISPR-mediated promoter de/methylation technologies for gene regulation. Archives of Pharmacal Research. 43(7). 705–713. 11 indexed citations
3.
Sung, Chang K. & Hyungshin Yim. (2016). Roles of SALL2 in tumorigenesis. Archives of Pharmacal Research. 40(2). 146–151. 11 indexed citations
4.
Sung, Chang K. & Hyungshin Yim. (2015). The tumor suppressor protein p150Sal2 in carcinogenesis. Tumor Biology. 36(2). 489–494. 7 indexed citations
5.
Sung, Chang K., Hyungshin Yim, Erik Andrews, & Thomas L. Benjamin. (2014). A mouse polyomavirus-encoded microRNA targets the cellular apoptosis pathway through Smad2 inhibition. Virology. 468-470. 57–62. 10 indexed citations
6.
Sung, Chang K., Dawei Li, Erik Andrews, Ronny Drapkin, & Thomas L. Benjamin. (2012). Promoter methylation of the SALL2 tumor suppressor gene in ovarian cancers. Molecular Oncology. 7(3). 419–427. 28 indexed citations
7.
Sung, Chang K., Hyungshin Yim, Hongcang Gu, et al.. (2012). The Polyoma Virus Large T Binding Protein p150 Is a Transcriptional Repressor of c-MYC. PLoS ONE. 7(9). e46486–e46486. 19 indexed citations
8.
Velupillai, Palanivel, Chang K. Sung, Erik Andrews, et al.. (2012). Polymorphisms in Toll-Like Receptor 4 Underlie Susceptibility to Tumor Induction by the Mouse Polyomavirus. Journal of Virology. 86(21). 11541–11547. 6 indexed citations
9.
Andrews, Erik, Palanivel Velupillai, Chang K. Sung, David R. Beier, & Thomas L. Benjamin. (2012). Production of a Natural Antibody to the Mouse Polyoma Virus Is a Multigenic Trait. G3 Genes Genomes Genetics. 2(3). 353–355. 1 indexed citations
10.
Gu, Hongcang, Dawei Li, Chang K. Sung, et al.. (2011). DNA-binding and regulatory properties of the transcription factor and putative tumor suppressor p150Sal2. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1809(4-6). 276–283. 23 indexed citations
11.
Yim, Hyungshin, Chang K. Sung, John J. You, Tian Yu, & Thomas L. Benjamin. (2011). Nek1 and TAZ Interact to Maintain Normal Levels of Polycystin 2. Journal of the American Society of Nephrology. 22(5). 832–837. 27 indexed citations
12.
Sung, Chang K., et al.. (2011). Transcriptional and post‐translational regulation of the quiescence factor and putative tumor suppressor p150 Sal2. The FASEB Journal. 25(4). 1275–1283. 18 indexed citations
13.
Velupillai, Palanivel, Chang K. Sung, Tian Yu, et al.. (2010). Polyoma Virus-Induced Osteosarcomas in Inbred Strains of Mice: Host Determinants of Metastasis. PLoS Pathogens. 6(1). e1000733–e1000733. 29 indexed citations
14.
Sullivan, Christopher S., Chang K. Sung, Christopher D. Pack, et al.. (2009). Murine Polyomavirus encodes a microRNA that cleaves early RNA transcripts but is not essential for experimental infection. Virology. 387(1). 157–167. 79 indexed citations
15.
Solban, Nicolas, et al.. (2006). Mechanistic Investigation and Implications of Photodynamic Therapy Induction of Vascular Endothelial Growth Factor in Prostate Cancer. Cancer Research. 66(11). 5633–5640. 79 indexed citations
16.
Sung, Chang K. & Donald A. Morrison. (2005). Two Distinct Functions of ComW in Stabilization and Activation of the Alternative Sigma Factor ComX inStreptococcus pneumoniae. Journal of Bacteriology. 187(9). 3052–3061. 63 indexed citations
17.
Peterson, Scott N., Chang K. Sung, Robin T. Cline, et al.. (2003). Identification of competence pheromone responsive genes in Streptococcus pneumoniae by use of DNA microarrays. Molecular Microbiology. 51(4). 1051–1070. 309 indexed citations
18.
Lau, Peter C., et al.. (2002). PCR ligation mutagenesis in transformable streptococci: application and efficiency. Journal of Microbiological Methods. 49(2). 193–205. 276 indexed citations
19.
Kim, Hyung‐Kwoun, et al.. (1994). Purification and characterization of a thermostable protease from Pseudomonas aeruginosa NS-83. Journal of Microbiology and Biotechnology. 4(2). 113–118. 1 indexed citations

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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