Ho Joong Sung

1.2k total citations
40 papers, 961 citations indexed

About

Ho Joong Sung is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ho Joong Sung has authored 40 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Ho Joong Sung's work include Chemokine receptors and signaling (7 papers), Mitochondrial Function and Pathology (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Ho Joong Sung is often cited by papers focused on Chemokine receptors and signaling (7 papers), Mitochondrial Function and Pathology (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Ho Joong Sung collaborates with scholars based in South Korea, United States and Japan. Ho Joong Sung's co-authors include Paul M. Hwang, Wenzhe Ma, Pingyuan Wang, Joon‐Young Park, Satoaki Matoba, Ju‐Gyeong Kang, Jesang Ko, Yoon Suk Kim, Takumi Matsumoto and Jae Woong Sull and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ho Joong Sung

40 papers receiving 948 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ho Joong Sung South Korea 17 579 256 184 162 96 40 961
Sébastien Chateauvieux Luxembourg 20 678 1.2× 153 0.6× 142 0.8× 88 0.5× 121 1.3× 22 1.3k
Shuqin Liu China 17 549 0.9× 188 0.7× 257 1.4× 82 0.5× 177 1.8× 76 1.2k
Zhijun Liu China 19 518 0.9× 236 0.9× 145 0.8× 92 0.6× 169 1.8× 74 1.3k
Catherine Demazy Belgium 15 686 1.2× 324 1.3× 150 0.8× 232 1.4× 116 1.2× 36 1.2k
Lisenn Lalier France 19 903 1.6× 352 1.4× 234 1.3× 60 0.4× 110 1.1× 20 1.3k
Jianping Yang China 16 448 0.8× 226 0.9× 206 1.1× 100 0.6× 172 1.8× 32 903
Lorella Vecchio Italy 16 736 1.3× 194 0.8× 245 1.3× 93 0.6× 109 1.1× 27 1.2k
Fei Zhou China 19 562 1.0× 274 1.1× 158 0.9× 94 0.6× 134 1.4× 54 977
Joana M. Xavier Portugal 16 537 0.9× 191 0.7× 112 0.6× 89 0.5× 62 0.6× 27 980

Countries citing papers authored by Ho Joong Sung

Since Specialization
Citations

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

Fields of papers citing papers by Ho Joong Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ho Joong Sung

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

All Works

20 of 20 papers shown
1.
Hyun, Sung Hee, et al.. (2022). Hemoglobin subunit beta protein as a novel marker for time since deposition of bloodstains at crime scenes. Forensic Science International. 336. 111348–111348. 5 indexed citations
2.
Kang, Hee‐Gyoo, et al.. (2021). Validation of novel extraction reagents to protein analysis with dried blood spots.. Review of International Geographical Education Online. 11(8). 2054–2060. 1 indexed citations
4.
Kim, Hyo‐Jin, et al.. (2021). Discovery of donor age markers from bloodstain by LC-MS/MS using a metabolic approach. International Journal of Legal Medicine. 136(1). 297–308. 7 indexed citations
5.
Sung, Ho Joong, et al.. (2020). Comparison of Swabbing Solution Volume and gDNA Extraction Kits on DNA Recovery from Rigid Surface. Indian Journal of Microbiology. 60(2). 206–213. 4 indexed citations
6.
Lee, Jiyeong, Hyo‐Jin Kim, Yoojin Lee, et al.. (2018). Internal standard metabolites for obtaining absolute quantitative information on the components of bloodstains by standardization of samples. Forensic Science International. 294. 69–75. 5 indexed citations
7.
Kim, Tae Kyoung, Jin Hyun Jun, Eun‐Kyung Kim, et al.. (2016). Melatonin modulates adiponectin expression on murine colitis with sleep deprivation. World Journal of Gastroenterology. 22(33). 7559–7559. 12 indexed citations
8.
Oh, In Young, Kyung Tae Kim, Jin Hyun Jun, Jae-Ho Shin, & Ho Joong Sung. (2016). Development of Real-time PCR Assays for Detection ofDirofilaria immitisfrom Infected Dog Blood. Korean Journal of Clinical Laboratory Science. 48(2). 88–93. 2 indexed citations
9.
Kim, Yoon Suk, Jae Woong Sull, & Ho Joong Sung. (2012). Suppressing effect of resveratrol on the migration and invasion of human metastatic lung and cervical cancer cells. Molecular Biology Reports. 39(9). 8709–8716. 50 indexed citations
10.
Sung, Ho Joong, Wenzhe Ma, Matthew F. Starost, et al.. (2011). Ambient Oxygen Promotes Tumorigenesis. PLoS ONE. 6(5). e19785–e19785. 30 indexed citations
11.
Sung, Ho Joong, et al.. (2011). N-acetyl cysteine suppresses the foam cell formation that is induced by oxidized low density lipoprotein via regulation of gene expression. Molecular Biology Reports. 39(3). 3001–3007. 25 indexed citations
12.
Matsumoto, Takumi, Pingyuan Wang, Wenzhe Ma, et al.. (2009). Polo-like kinases mediate cell survival in mitochondrial dysfunction. Proceedings of the National Academy of Sciences. 106(34). 14542–14546. 55 indexed citations
13.
Park, Joon‐Young, Pingyuan Wang, Takumi Matsumoto, et al.. (2009). p53 Improves Aerobic Exercise Capacity and Augments Skeletal Muscle Mitochondrial DNA Content. Circulation Research. 105(7). 705–712. 163 indexed citations
14.
Sung, Ho Joong, Yoon Suk Kim, Hyereen Kang, & Jesang Ko. (2008). Human LZIP induces monocyte CC chemokine receptor 2 expression leading to enhancement of monocyte chemoattractant protein 1/CCL2-induced cell migration. Experimental & Molecular Medicine. 40(3). 332–332. 15 indexed citations
15.
Jang, Sung‐Wuk, et al.. (2007). Regulation of Human LZIP Expression by NF-κB and Its Involvement in Monocyte Cell Migration Induced by Lkn-1. Journal of Biological Chemistry. 282(15). 11092–11100. 23 indexed citations
16.
Ma, Wenzhe, Ho Joong Sung, Joon‐Young Park, Satoaki Matoba, & Paul M. Hwang. (2007). A pivotal role for p53: balancing aerobic respiration and glycolysis. Journal of Bioenergetics and Biomembranes. 39(3). 243–246. 121 indexed citations
17.
Jang, Sung-Wuk, et al.. (2005). Differential CCR1‐mediated chemotaxis signaling induced by human CC chemokine HCC‐4/CCL16 in HOS cells. FEBS Letters. 579(27). 6044–6048. 12 indexed citations
18.
Sung, Ho Joong, et al.. (2005). Negative regulatory role of Annexin-A1 in 14-3-3η-mediated glucocorticoid receptor transcriptional activation. Biochemical and Biophysical Research Communications. 339(4). 1208–1211. 5 indexed citations
19.
Kim, In Sik, Sung-Wuk Jang, Ho Joong Sung, et al.. (2004). Differential effects of 9-cis retinoic acid on expression of CC chemokine receptors in human monocytes. Biochemical Pharmacology. 68(4). 611–620. 10 indexed citations
20.
Sung, Ho Joong, et al.. (1996). Adaptive eigenfilter implementing optimum MTI processor. Electronics Letters. 32(18). 1654–1655. 2 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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