Sona Kang

3.2k total citations
40 papers, 2.5k citations indexed

About

Sona Kang is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Sona Kang has authored 40 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 23 papers in Physiology and 15 papers in Epidemiology. Recurrent topics in Sona Kang's work include Adipose Tissue and Metabolism (22 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers) and Epigenetics and DNA Methylation (7 papers). Sona Kang is often cited by papers focused on Adipose Tissue and Metabolism (22 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers) and Epigenetics and DNA Methylation (7 papers). Sona Kang collaborates with scholars based in United States, South Korea and Denmark. Sona Kang's co-authors include Ormond A. MacDougald, Evan D. Rosen, Isabelle Gerin, Christina N. Bennett, Kenneth Longo, Kurt D. Hankenson, Xingxing Kong, Wendy S. Wright, Shian-Huey Chiang and Xiao Han and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Sona Kang

39 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sona Kang United States	23	1.4k	938	613	262	254	40	2.5k
Donghai Wu China	21	1.0k 0.8×	842 0.9×	820 1.3×	236 0.9×	251 1.0×	47	2.4k
Asma Naqvi United States	21	990 0.7×	537 0.6×	294 0.5×	198 0.8×	197 0.8×	35	2.0k
Xiaoming Wen United States	16	1.1k 0.8×	494 0.5×	571 0.9×	385 1.5×	451 1.8×	26	2.4k
Satoshi Ishii Japan	29	1.8k 1.3×	613 0.7×	343 0.6×	213 0.8×	608 2.4×	64	3.3k
Nazar Mashtalir United States	26	1.9k 1.4×	653 0.7×	204 0.3×	183 0.7×	303 1.2×	33	3.0k
Robert M. Umek United States	15	2.3k 1.7×	801 0.9×	464 0.8×	333 1.3×	307 1.2×	21	3.3k
Jane McHowat United States	33	1.5k 1.1×	487 0.5×	258 0.4×	218 0.8×	439 1.7×	102	2.9k
Satoshi Ishii Japan	30	1.7k 1.3×	742 0.8×	289 0.5×	174 0.7×	772 3.0×	52	3.4k
Feng Chu United States	19	1.2k 0.9×	453 0.5×	528 0.9×	183 0.7×	452 1.8×	25	2.1k
Jennifer Altomonte Germany	26	1.8k 1.3×	845 0.9×	693 1.1×	237 0.9×	271 1.1×	52	3.6k

Countries citing papers authored by Sona Kang

Since Specialization

Citations

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

Fields of papers citing papers by Sona Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sona Kang

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

All Works

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20 of 20 papers shown

Jung, Byung Chul, et al.. (2025). JMJD8 facilitates hepatic lipid deposition and metabolic dysfunction. American Journal of Physiology-Endocrinology and Metabolism. 329(6). E839–E848.

Kang, Sona, et al.. (2025). JMJD8 Regulates Adipocyte Hypertrophy Through the Interaction With Perilipin 2. Diabetes. 74(4). 458–471. 1 indexed citations

Kang, Sona, et al.. (2023). The Molecular Mechanisms of Fuel Utilization during Exercise. Biology. 12(11). 1450–1450. 4 indexed citations

Jung, Byung Chul, Daofeng Li, Wei‐Chieh Mu, et al.. (2023). TET3 plays a critical role in white adipose development and diet-induced remodeling. Cell Reports. 42(10). 113196–113196. 4 indexed citations

Ebert, Scott M., Hee‐Woong Lim, Byung Chul Jung, et al.. (2021). A necessary role of DNMT3A in endurance exercise by suppressing ALDH1L1‐mediated oxidative stress. The EMBO Journal. 40(9). e106491–e106491. 29 indexed citations

Jung, Byung Chul, et al.. (2021). JMJD8 Is a Novel Molecular Nexus Between Adipocyte-Intrinsic Inflammation and Insulin Resistance. Diabetes. 71(1). 43–59. 12 indexed citations

Jung, Byung Chul & Sona Kang. (2021). Epigenetic regulation of inflammatory factors in adipose tissue. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1866(11). 159019–159019. 14 indexed citations

Lim, Hee‐Woong, et al.. (2020). TET1 is a beige adipocyte-selective epigenetic suppressor of thermogenesis. Nature Communications. 11(1). 4313–4313. 41 indexed citations

Lontchi‐Yimagou, Eric, Sona Kang, Abhinav Goyal, et al.. (2020). Insulin-sensitizing effects of vitamin D repletion mediated by adipocyte vitamin D receptor: Studies in humans and mice. Molecular Metabolism. 42. 101095–101095. 23 indexed citations

10.

Ma, Xiang & Sona Kang. (2019). Functional Implications of DNA Methylation in Adipose Biology. Diabetes. 68(5). 871–878. 40 indexed citations

11.

Ma, Xiang, et al.. (2018). TET2 facilitates PPARγ agonist–mediated gene regulation and insulin sensitization in adipocytes. Metabolism. 89. 39–47. 29 indexed citations

12.

Nilsson, Emma, Danielle Tenen, Anna Lyubetskaya, et al.. (2017). Dnmt3a is an epigenetic mediator of adipose insulin resistance. eLife. 6. 98 indexed citations

13.

Kang, Sona, Xingxing Kong, & Evan D. Rosen. (2014). Adipocyte-Specific Transgenic and Knockout Models. Methods in enzymology on CD-ROM/Methods in enzymology. 537. 1–16. 30 indexed citations

14.

Kong, Xingxing, Alexander S. Banks, Tiemin Liu, et al.. (2014). IRF4 Is a Key Thermogenic Transcriptional Partner of PGC-1α. Cell. 158(1). 69–83. 225 indexed citations

15.

Lange, Martin, Tatsuya Fujikawa, Anna Koulova, et al.. (2013). Arterial territory-specific phosphorylated retinoblastoma protein species and CDK2 promote differences in the vascular smooth muscle cell response to mitogens. Cell Cycle. 13(2). 315–323. 8 indexed citations

16.

Kang, Sona, Peter Åkerblad, Riku Kiviranta, et al.. (2012). Regulation of Early Adipose Commitment by Zfp521. PLoS Biology. 10(11). e1001433–e1001433. 108 indexed citations

17.

Bock, Jonathan M., Yayoi Fukuyo, Sona Kang, et al.. (2010). Mammalian Stem Cells Reprogramming in Response to Terahertz Radiation. PLoS ONE. 5(12). e15806–e15806. 102 indexed citations

18.

Kang, Sona, et al.. (2008). Phosphorylation of CCAAT/Enhancer-binding Protein α Regulates GLUT4 Expression and Glucose Transport in Adipocytes. Journal of Biological Chemistry. 283(26). 18002–18011. 19 indexed citations

19.

Kang, Sona, et al.. (2007). Wnt Signaling Stimulates Osteoblastogenesis of Mesenchymal Precursors by Suppressing CCAAT/Enhancer-binding Protein α and Peroxisome Proliferator-activated Receptor γ. Journal of Biological Chemistry. 282(19). 14515–14524. 339 indexed citations

20.

Hall, Christopher L., Sona Kang, Ormond A. MacDougald, & Evan T. Keller. (2005). Role of wnts in prostate cancer bone metastases. Journal of Cellular Biochemistry. 97(4). 661–672. 128 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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