Sojin Lee

1.7k total citations
29 papers, 1.3k citations indexed

About

Sojin Lee is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Sojin Lee has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Sojin Lee's work include FOXO transcription factor regulation (9 papers), Adipose Tissue and Metabolism (5 papers) and Pancreatic function and diabetes (5 papers). Sojin Lee is often cited by papers focused on FOXO transcription factor regulation (9 papers), Adipose Tissue and Metabolism (5 papers) and Pancreatic function and diabetes (5 papers). Sojin Lee collaborates with scholars based in United States, South Korea and China. Sojin Lee's co-authors include H. Henry Dong, Ick Chan Kwon, Kwangmeyung Kim, Jun Yamauchi, Seo Young Jeong, Dae Hyun Kim, Virtu Calabuig-Navarro, Steven Ringquist, Heebeom Koo and Ting Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Sojin Lee

27 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sojin Lee United States 15 617 248 187 162 161 29 1.3k
Lifen Wang China 25 539 0.9× 196 0.8× 138 0.7× 228 1.4× 196 1.2× 85 1.7k
Su Jin Kim South Korea 22 626 1.0× 119 0.5× 79 0.4× 270 1.7× 99 0.6× 74 1.3k
Thangavelu Soundara Rajan Italy 26 691 1.1× 186 0.8× 89 0.5× 238 1.5× 125 0.8× 48 1.9k
Stefan Gallinat Germany 23 892 1.4× 140 0.6× 77 0.4× 141 0.9× 178 1.1× 44 2.1k
Kevin M. Tharp United States 17 400 0.6× 231 0.9× 151 0.8× 202 1.2× 262 1.6× 29 1.2k
Ezzatollah Fathi Iran 29 709 1.1× 147 0.6× 110 0.6× 275 1.7× 246 1.5× 86 1.7k
Ling Wu United States 25 912 1.5× 162 0.7× 106 0.6× 171 1.1× 160 1.0× 57 2.0k
Marc Winnefeld Germany 22 821 1.3× 96 0.4× 106 0.6× 87 0.5× 239 1.5× 32 1.4k
Robert Gilkerson United States 23 1.9k 3.1× 167 0.7× 226 1.2× 242 1.5× 282 1.8× 47 2.8k

Countries citing papers authored by Sojin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sojin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sojin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sojin Lee. A scholar is included among the top collaborators of Sojin Lee 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 Sojin Lee. Sojin Lee 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.
Kim, T.Y., et al.. (2025). Short Made Them Powerful: Exploring Motivations and Problematic Uses of TikTok. Cyberpsychology Behavior and Social Networking. 28(2). 90–97. 3 indexed citations
3.
Lee, Sojin, et al.. (2023). Robust auxiliary learning with weighting function for biased data. Information Sciences. 628. 307–319. 1 indexed citations
4.
Lee, Sojin, Jun Yamauchi, Xingchun Wang, et al.. (2022). Myeloid FoxO1 depletion attenuates hepatic inflammation and prevents nonalcoholic steatohepatitis. Journal of Clinical Investigation. 132(14). 42 indexed citations
5.
Zhu, Cuiling, Sojin Lee, Jingyang Gao, et al.. (2020). Depletion of hepatic forkhead box O1 does not affect cholelithiasis in male and female mice. Journal of Biological Chemistry. 295(20). 7003–7017. 2 indexed citations
6.
Coudriet, Gina M., John Stoops, Anne Orr, et al.. (2019). A Noncanonical Role for Plasminogen Activator Inhibitor Type 1 in Obesity-Induced Diabetes. American Journal Of Pathology. 189(7). 1413–1422. 10 indexed citations
7.
Lee, Sojin, Seon‐Pil Jin, Yeon Kyung Kim, et al.. (2017). Construction of 3D multicellular microfluidic chip for an in vitro skin model. Biomedical Microdevices. 19(2). 22–22. 104 indexed citations
8.
Huh, Myung Sook, Eun Jung Lee, Heebeom Koo, et al.. (2017). Polysaccharide-based Nanoparticles for Gene Delivery. Topics in Current Chemistry. 375(2). 31–31. 55 indexed citations
9.
Cheng, Xiaoyun, Jun Yamauchi, Sojin Lee, et al.. (2017). APOC3 Protein Is Not a Predisposing Factor for Fat-induced Nonalcoholic Fatty Liver Disease in Mice. Journal of Biological Chemistry. 292(9). 3692–3705. 16 indexed citations
10.
Lee, Sojin & H. Henry Dong. (2017). FoxO integration of insulin signaling with glucose and lipid metabolism. Journal of Endocrinology. 233(2). R67–R79. 246 indexed citations
11.
Zhang, Ting, Dae Hyun Kim, Xiangwei Xiao, et al.. (2016). FoxO1 Plays an Important Role in Regulating β-Cell Compensation for Insulin Resistance in Male Mice. Endocrinology. 157(3). 1055–1070. 65 indexed citations
12.
Liu, Yun‐Zi, Xiaoyun Cheng, Ting Zhang, et al.. (2016). Effect of Hypertriglyceridemia on Beta Cell Mass and Function in ApoC3 Transgenic Mice. Journal of Biological Chemistry. 291(28). 14695–14705. 13 indexed citations
13.
Calabuig-Navarro, Virtu, Jun Yamauchi, Sojin Lee, et al.. (2015). Forkhead Box O6 (FoxO6) Depletion Attenuates Hepatic Gluconeogenesis and Protects against Fat-induced Glucose Disorder in Mice. Journal of Biological Chemistry. 290(25). 15581–15594. 47 indexed citations
14.
Lee, Sojin, María L. Gaspar, Manuel Aregullín, Stephen A. Jesch, & Susan A. Henry. (2013). Activation of Protein Kinase C-Mitogen-activated Protein Kinase Signaling in Response to Inositol Starvation Triggers Sir2p-dependent Telomeric Silencing in Yeast. Journal of Biological Chemistry. 288(39). 27861–27871. 13 indexed citations
15.
Xiao, Guozhi, Ting Zhang, Shibing Yu, et al.. (2013). ATF4 Protein Deficiency Protects against High Fructose-induced Hypertriglyceridemia in Mice. Journal of Biological Chemistry. 288(35). 25350–25361. 107 indexed citations
16.
Lee, Sojin, Jong Eun Park, Seong‐Jin Cho, et al.. (2012). Association between morningness-eveningness and temperament and character in community-dwelling Korean adults. Asia-Pacific Psychiatry. 6(1). 77–82. 9 indexed citations
17.
Lee, Sojin, et al.. (2012). Biogenetic temperament and character in insomnia and depression. Journal of Psychosomatic Research. 72(5). 383–387. 10 indexed citations
18.
Kim, Dae Hyun, Germán Perdomo, Ting Zhang, et al.. (2011). FoxO6 Integrates Insulin Signaling With Gluconeogenesis in the Liver. Diabetes. 60(11). 2763–2774. 99 indexed citations
19.
Huh, Myung Sook, Seung Young Lee, Sang-Jin Park, et al.. (2010). Tumor-homing glycol chitosan/polyethylenimine nanoparticles for the systemic delivery of siRNA in tumor-bearing mice. Journal of Controlled Release. 144(2). 134–143. 119 indexed citations
20.
Koo, Heebeom, Hye‐Jung Lee, Sojin Lee, et al.. (2010). In vivo tumor diagnosis and photodynamic therapy via tumoral pH-responsive polymeric micelles. Chemical Communications. 46(31). 5668–5668. 160 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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