Wang Jae Lee

3.0k total citations
111 papers, 2.5k citations indexed

About

Wang Jae Lee is a scholar working on Immunology, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Wang Jae Lee has authored 111 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Immunology, 37 papers in Molecular Biology and 34 papers in Nutrition and Dietetics. Recurrent topics in Wang Jae Lee's work include Vitamin C and Antioxidants Research (32 papers), Immune Cell Function and Interaction (21 papers) and Vitamin D Research Studies (14 papers). Wang Jae Lee is often cited by papers focused on Vitamin C and Antioxidants Research (32 papers), Immune Cell Function and Interaction (21 papers) and Vitamin D Research Studies (14 papers). Wang Jae Lee collaborates with scholars based in South Korea, Ethiopia and United States. Wang Jae Lee's co-authors include Jae Seung Kang, Young‐il Hwang, Seyeon Bae, Hyemin Kim, Hang‐Rae Kim, Young-il Hwang, Daeho Cho, Dae Young Hur, Naeun Lee and Yeong Seok Kim and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Wang Jae Lee

110 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wang Jae Lee South Korea 30 790 706 620 408 318 111 2.5k
Jae Seung Kang South Korea 30 696 0.9× 633 0.9× 423 0.7× 333 0.8× 206 0.6× 97 2.3k
Joan M. Cook‐Mills United States 34 540 0.7× 1.1k 1.6× 978 1.6× 146 0.4× 170 0.5× 79 3.5k
Kwang Dong Kim South Korea 29 167 0.2× 1.2k 1.7× 750 1.2× 210 0.5× 310 1.0× 98 2.6k
Charles S. Hii Australia 31 438 0.6× 1.4k 2.0× 791 1.3× 422 1.0× 182 0.6× 80 3.1k
Mariarosaria Santillo Italy 27 176 0.2× 1.1k 1.5× 399 0.6× 535 1.3× 141 0.4× 73 2.7k
Jin Hee Kim South Korea 30 195 0.2× 1.2k 1.7× 577 0.9× 102 0.3× 323 1.0× 121 3.0k
Asuka Suzuki Japan 31 240 0.3× 1.6k 2.3× 851 1.4× 170 0.4× 1.0k 3.3× 106 3.6k
Bifeng Gao United States 26 157 0.2× 1.3k 1.9× 666 1.1× 177 0.4× 280 0.9× 53 3.6k
Abbas Mirshafiey Iran 39 205 0.3× 1.4k 2.0× 2.0k 3.2× 724 1.8× 629 2.0× 244 5.1k
Shinji Naito Japan 23 215 0.3× 1.5k 2.1× 727 1.2× 211 0.5× 638 2.0× 60 3.5k

Countries citing papers authored by Wang Jae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wang Jae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang Jae Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Jae Lee. A scholar is included among the top collaborators of Wang Jae 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 Wang Jae Lee. Wang Jae 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.
Hwang, Sung Hwan, et al.. (2021). The Korean Version of the Fugl-Meyer Assessment: Reliability and Validity Evaluation. Annals of Rehabilitation Medicine. 45(2). 83–98. 24 indexed citations
2.
Kim, Hye-Min, Yejin Kim, Seyeon Bae, et al.. (2015). Vitamin C Deficiency Causes Severe Defects in the Development of the Neonatal Cerebellum and in the Motor Behaviors of Gulo −/− Mice. Antioxidants and Redox Signaling. 23(16). 1270–1283. 17 indexed citations
3.
4.
Kim, Jin Hee, Eui Man Jeong, Wang Jae Lee, et al.. (2014). Transglutaminase 2 on the surface of dendritic cells is proposed to be involved in dendritic cell–T cell interaction. Cellular Immunology. 289(1-2). 55–62. 9 indexed citations
5.
Bae, Seyeon, Chung‐Hyun Cho, Hyemin Kim, et al.. (2013). In Vivo Consequence of Vitamin C Insufficiency in Liver Injury: Vitamin C Ameliorates T-Cell-Mediated Acute Liver Injury in Gulo(−/−) Mice. Antioxidants and Redox Signaling. 19(17). 2040–2053. 22 indexed citations
6.
7.
Kim, Jin Hee, Eui Man Jeong, Wang Jae Lee, et al.. (2012). Transglutaminase 2 modulates antigen-specific antibody response by suppressing Blimp-1 and AID expression of B cells in mice. Immunology Letters. 147(1-2). 18–28. 6 indexed citations
8.
Kim, Jee‐Eun, Da-Jung Jung, Seung-Woo Hong, et al.. (2012). Depletion of ascorbic acid impairs NK cell activity against ovarian cancer in a mouse model. Immunobiology. 217(9). 873–881. 41 indexed citations
9.
Kim, Ye‐Jin, Seung Koo Lee, Seyeon Bae, et al.. (2012). The anti-inflammatory effect of alloferon on UVB-induced skin inflammation through the down-regulation of pro-inflammatory cytokines. Immunology Letters. 149(1-2). 110–118. 33 indexed citations
10.
Yoon, Sun Young, Ha‐Reum Lee, Joo Heon Kim, et al.. (2011). Thymosin β4 expression correlates with lymph node metastasis through hypoxia inducible factor-α induction in breast cancer.. PubMed. 25(1). 23–31. 18 indexed citations
11.
Kang, Jae Seung, et al.. (2009). Effect of vitamin C on the activation of T cell in Gulo(-/-) mice (33.23). The Journal of Immunology. 182(Supplement_1). 33.23–33.23. 1 indexed citations
12.
Song, Hyunkeun, Ga Bin Park, Kyoung Hye Kong, et al.. (2009). Selenium Inhibits Metastasis of Murine Melanoma Cells through the Induction of Cell Cycle Arrest and Cell Death. Immune Network. 9(6). 236–236. 28 indexed citations
13.
Lee, Ha‐Reum, Sun Young Yoon, Sunyoung Park, et al.. (2009). Thymosin beta 4 enhances NK cell cytotoxicity mediated by ICAM-1. Immunology Letters. 123(1). 72–76. 17 indexed citations
14.
Kim, Yeong Seok, Ga Bin Park, Hyun-Kyung Lee, et al.. (2008). Cross-Linking of B7-H1 on EBV-Transformed B Cells Induces Apoptosis through Reactive Oxygen Species Production, JNK Signaling Activation, and fasL Expression. The Journal of Immunology. 181(9). 6158–6169. 33 indexed citations
15.
Hahm, Eunsil, Dong‐Hoon Jin, Jae Seung Kang, et al.. (2007). The molecular mechanisms of vitamin C on cell cycle regulation in B16F10 murine melanoma. Journal of Cellular Biochemistry. 102(4). 1002–1010. 36 indexed citations
16.
17.
Kang, Jae Seung, Daeho Cho, Young‐In Kim, et al.. (2005). Sodium ascorbate (vitamin C) induces apoptosis in melanoma cells via the down‐regulation of transferrin receptor dependent iron uptake. Journal of Cellular Physiology. 204(1). 192–197. 50 indexed citations
18.
Cho, Daeho, Jae Seung Kang, Eunsil Hahm, et al.. (2004). Resistance to Cytotoxic Chemotherapy Is Induced by NK Cells in Non-Hodgkin's Lymphoma Cells. Journal of Clinical Immunology. 24(5). 553–560. 4 indexed citations
19.
Huh, Chang‐Hun, Ji Hyun Han, Jai Il Youn, et al.. (2002). Characterization of cryopreserved human Langerhans cells. Cryobiology. 45(2). 118–126. 4 indexed citations
20.
Cho, Daeho, Jae Seung Kang, Jong Hoon Park, et al.. (2002). The enhanced IL-18 production by UVB irradiation requires ROI and AP-1 signaling in human keratinocyte cell line (HaCaT). Biochemical and Biophysical Research Communications. 298(2). 289–295. 36 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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