Sujong Kim

1.2k total citations
37 papers, 1.1k citations indexed

About

Sujong Kim is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, Sujong Kim has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 5 papers in Hematology. Recurrent topics in Sujong Kim's work include Gene expression and cancer classification (9 papers), Retinoids in leukemia and cellular processes (7 papers) and Acute Myeloid Leukemia Research (5 papers). Sujong Kim is often cited by papers focused on Gene expression and cancer classification (9 papers), Retinoids in leukemia and cellular processes (7 papers) and Acute Myeloid Leukemia Research (5 papers). Sujong Kim collaborates with scholars based in South Korea and United States. Sujong Kim's co-authors include Yong Sung Lee, Insuk Sohn, Ki-Hwan Lee, Yeon Sook Lee, Joon‐Ik Ahn, Mi‐Ock Lee, Sun Young Kim, Ji Hyun Kim, Hye‐Jin Shin and Duck‐Hee Kim and has published in prestigious journals such as Bioinformatics, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Sujong Kim

35 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujong Kim South Korea 16 525 176 169 152 131 37 1.1k
Yi‐Ju Lee Taiwan 24 535 1.0× 153 0.9× 83 0.5× 117 0.8× 138 1.1× 81 1.3k
Young‐Rae Lee South Korea 27 1.0k 1.9× 167 0.9× 128 0.8× 160 1.1× 115 0.9× 81 2.1k
Stephanie J. Muga United States 17 605 1.2× 126 0.7× 176 1.0× 150 1.0× 60 0.5× 26 1.4k
Myung‐Ja Kwon South Korea 11 419 0.8× 121 0.7× 161 1.0× 50 0.3× 68 0.5× 15 1.1k
Gabsik Yang South Korea 24 912 1.7× 226 1.3× 176 1.0× 61 0.4× 109 0.8× 68 1.9k
Gi Soo Youn South Korea 18 681 1.3× 254 1.4× 153 0.9× 65 0.4× 65 0.5× 34 1.2k
Remya Sreedhar Japan 18 332 0.6× 93 0.5× 104 0.6× 34 0.2× 85 0.6× 38 981
Yue Jin China 25 881 1.7× 229 1.3× 150 0.9× 99 0.7× 177 1.4× 44 1.8k
Xiaolei Wang China 18 525 1.0× 234 1.3× 201 1.2× 202 1.3× 189 1.4× 44 1.2k
Hui Xiong China 19 499 1.0× 99 0.6× 115 0.7× 50 0.3× 65 0.5× 107 1.2k

Countries citing papers authored by Sujong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sujong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujong Kim. 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 Sujong Kim. The network helps show where Sujong Kim may publish in the future.

Co-authorship network of co-authors of Sujong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sujong Kim. A scholar is included among the top collaborators of Sujong Kim 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 Sujong Kim. Sujong Kim 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.
Park, Yong‐Keun, Sujong Kim, & Jumyung Um. (2020). Development of Plug-n-Play Automation System for Machine Tending through Digital Twin. The e-Business Studies. 25(4). 143–154. 1 indexed citations
2.
Kim, Sujong, Young Suk Park, Joon Oh Park, et al.. (2020). Phase I clinical trial of KML001 monotherapy in patients with advanced solid tumors. Expert Opinion on Investigational Drugs. 29(9). 1059–1067. 2 indexed citations
3.
Liu, Yang, et al.. (2017). KML001 and doxercalciferol induce synergistic antileukemic effect in acute lymphoid leukemia cells. Oncology Reports. 38(1). 481–487. 3 indexed citations
4.
Kim, Sujong, et al.. (2017). Antitumoral effect of arsenic compound, sodium metaarsenite (KML001), on multiple myeloma cells. International Journal of Oncology. 51(6). 1739–1746. 4 indexed citations
5.
Choi, Jung Hye, et al.. (2015). Anti-leukemic effect of sodium metaarsenite (KML001) in acute myeloid leukemia with breaking-down the resistance of cytosine arabinoside. International Journal of Oncology. 46(5). 1953–1962. 5 indexed citations
6.
Kim, Sujong, et al.. (2015). Sodium meta-arsenite prevents the development of autoimmune diabetes in NOD mice. Toxicology and Applied Pharmacology. 284(2). 254–261. 12 indexed citations
7.
Kim, Sujong, Sang Kook Lee, Jieun Uhm, et al.. (2015). Anti-tumoral effect of arsenic compound, sodium metaarsenite (KML001), in non-Hodgkin’s lymphoma: an in vitro and in vivo study. Investigational New Drugs. 34(1). 1–14. 13 indexed citations
8.
Lee, Young-Sun, Eun Kyu Lee, Hyunhee Oh, et al.. (2014). Sodium Meta-Arsenite Ameliorates Hyperglycemia in Obese Diabeticdb/dbMice by Inhibition of Hepatic Gluconeogenesis. Journal of Diabetes Research. 2014. 1–11. 9 indexed citations
9.
10.
Sohn, Insuk, Kouros Owzar, Stephen L. George, Sujong Kim, & Sin‐Ho Jung. (2010). Robust test method for time-course microarray experiments. BMC Bioinformatics. 11(1). 391–391. 2 indexed citations
11.
Sohn, Insuk, Kouros Owzar, Stephen L. George, Sujong Kim, & Sin‐Ho Jung. (2009). A permutation-based multiple testing method for time-course microarray experiments. BMC Bioinformatics. 10(1). 336–336. 15 indexed citations
12.
Kim, Sujong, Ki-Hwan Lee, Yong Sung Lee, et al.. (2008). Transcriptional profiling in human HaCaT keratinocytes in response to kaempferol and identification of potential transcription factors for regulating differential gene expression. Experimental & Molecular Medicine. 40(2). 208–208. 24 indexed citations
13.
Kim, Sujong, Il Hong, Jin Kyu Choi, et al.. (2006). Phytosphingosine Stimulates the Differentiation of Human Keratinocytes and Inhibits TPA-Induced Inflammatory Epidermal Hyperplasia in Hairless Mouse Skin. Molecular Medicine. 12(1-3). 17–24. 52 indexed citations
14.
Kim, Sujong & Yong Sung Lee. (2005). [S4-1] Practical Aspects of cDNA Microarray Application in Nutrigenomics. 103–106. 1 indexed citations
15.
Kim, Sujong, et al.. (2005). Hepatic Gene Expression Profiles Are Altered by Genistein Supplementation in Mice with Diet-Induced Obesity. Journal of Nutrition. 135(1). 33–41. 88 indexed citations
16.
Lee, Ji‐Yeon, Sujong Kim, Dong‐Mi Shin, et al.. (2004). Changes of gene expression profiles during neuronal differentiation of central nervous system precursors treated with ascorbic acid. Journal of Neuroscience Research. 78(1). 29–37. 33 indexed citations
17.
Kim, Sujong, Insuk Sohn, Joon‐Ik Ahn, et al.. (2004). Hepatic gene expression profiles in a long-term high-fat diet-induced obesity mouse model. Gene. 340(1). 99–109. 224 indexed citations
18.
Kim, Sun‐Young, et al.. (2004). Protective Effects of Dietary Soy Isoflavones against UV-Induced Skin-Aging in Hairless Mouse Model. Journal of the American College of Nutrition. 23(2). 157–162. 82 indexed citations
19.
Kim, Sujong, Hye‐Jin Shin, Sun Young Kim, et al.. (2004). Genistein enhances expression of genes involved in fatty acid catabolism through activation of PPARα. Molecular and Cellular Endocrinology. 220(1-2). 51–58. 139 indexed citations
20.
Kim, Sujong, et al.. (2004). Compound K induces expression of hyaluronan synthase 2 gene in transformed human keratinocytes and increases hyaluronan in hairless mouse skin. Biochemical and Biophysical Research Communications. 316(2). 348–355. 98 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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