Sung‐Gwon Lee

684 total citations
24 papers, 431 citations indexed

About

Sung‐Gwon Lee is a scholar working on Molecular Biology, Immunology and Ecology. According to data from OpenAlex, Sung‐Gwon Lee has authored 24 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Ecology. Recurrent topics in Sung‐Gwon Lee's work include Genomics and Phylogenetic Studies (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA Research and Splicing (4 papers). Sung‐Gwon Lee is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA Research and Splicing (4 papers). Sung‐Gwon Lee collaborates with scholars based in South Korea, United States and Puerto Rico. Sung‐Gwon Lee's co-authors include Chungoo Park, Kee K. Kim, Eun‐Kyeong Jo, In Soo Kim, Prashanta Silwal, Chaeuk Chung, Young Jae Kim, Ji Eun Kim, Kyung Mok Sohn and Kim Ys and has published in prestigious journals such as The EMBO Journal, Oncogene and Scientific Reports.

In The Last Decade

Sung‐Gwon Lee

21 papers receiving 429 citations

Peers

Sung‐Gwon Lee

IMMUN

EPIDE

Anssi Lipponen Finland

Sylwia D. Tyrkalska Spain

Yoshiaki Yasumizu Japan

Tsan‐Chi Chen Taiwan

Mehul Vora United States

M. Elizabeth Deerhake United States

Lisa N. Akhtar United States

Yong-Jin Yang South Korea

Leilei Li China

Yogendra Singh Rajawat United States

Anssi Lipponen Finland

Sung‐Gwon Lee

266 ×1.3

138 ×1.2

35 ×0.4

IMMUN

95 ×1.6

49 ×0.9

EPIDE

Citations per year, relative to Sung‐Gwon Lee Sung‐Gwon Lee (= 1×) peers Anssi Lipponen

Countries citing papers authored by Sung‐Gwon Lee

Since Specialization

Citations

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

Fields of papers citing papers by Sung‐Gwon Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung‐Gwon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Gwon Lee. A scholar is included among the top collaborators of Sung‐Gwon 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 Sung‐Gwon Lee. Sung‐Gwon Lee 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

Hennighausen, Lothar, Sung‐Gwon Lee, Jungwook Kim, et al.. (2025). Impact of rare JAK/STAT germline mutations on vaccination-induced innate immune responses in a Tyrolian population. International Journal of Biological Sciences. 22(2). 519–528.

Hennighausen, Lothar, T. Haikarainen, Sung‐Gwon Lee, et al.. (2025). Investigation of the transcriptional impact of rare germline JAK/STAT variants found in a Tyrolean alpine community. BMC Genomics. 27(1). 8–8.

Lee, Hye‐Kyung, Rachael L. Philips, Sung‐Gwon Lee, et al.. (2025). STAT5B leukemic mutations, altering SH2 tyrosine 665, have opposing impacts on immune gene programs. Life Science Alliance. 8(7). e202503222–e202503222. 1 indexed citations

Leung, Yuet‐Kin, Sung‐Gwon Lee, Jiang Wang, et al.. (2024). The Loss of an Orphan Nuclear Receptor NR2E3 Augments Wnt/β‐catenin Signaling via Epigenetic Dysregulation that Enhances Sp1‐β catenin‐p300 Interactions in Hepatocellular Carcinoma. Advanced Science. 11(29). e2308539–e2308539. 5 indexed citations

Kim, Young Jae, Sung‐Gwon Lee, So Young Park, et al.. (2024). Ubiquitin regulatory X (UBX) domain-containing protein 6 is essential for autophagy induction and inflammation control in macrophages. Cellular and Molecular Immunology. 21(12). 1441–1458. 5 indexed citations

Kim, Seung‐Yeon, et al.. (2024). Alternative splicing of PBRM1 mediates resistance to PD-1 blockade therapy in renal cancer. The EMBO Journal. 43(22). 5421–5444. 1 indexed citations

Kim, In Soo, Sung‐Gwon Lee, Hyeongseok Jeong, et al.. (2022). Dysregulated thrombospondin 1 and miRNA-29a-3p in severe COVID-19. Scientific Reports. 12(1). 21227–21227. 9 indexed citations

Kwak, Hee‐Jin, Sung‐Gwon Lee, Soon Cheol Park, et al.. (2022). Head transcriptome profiling of glossiphoniid leech ( Helobdella austinensis ) reveals clues about proboscis development. Open Biology. 12(3). 210298–210298. 3 indexed citations

Kim, Ji Eun, In Soo Kim, Sung‐Gwon Lee, et al.. (2021). MiR-144-3p is associated with pathological inflammation in patients infected with Mycobacteroides abscessus. Experimental & Molecular Medicine. 53(1). 136–149. 23 indexed citations

10.

Kim, Kyeongmin, Daejin Lim, Kwangsoo Kim, et al.. (2021). ppGpp signaling plays a critical role in virulence of Acinetobacter baumannii. Virulence. 12(1). 2122–2132. 15 indexed citations

11.

Lee, Sung‐Gwon, Dokyun Na, & Chungoo Park. (2021). Comparability of reference-based and reference-free transcriptome analysis approaches at the gene expression level. BMC Bioinformatics. 22(S11). 310–310. 14 indexed citations

12.

Lee, Sung‐Gwon, et al.. (2021). PIC-Me: paralogs and isoforms classifier based on machine-learning approaches. BMC Bioinformatics. 22(S11). 311–311.

13.

Lim, Daejin, Jae‐Ho Jeong, Yoon Seok Jung, et al.. (2020). Lipocalin2 Induced by Bacterial Flagellin Protects Mice against Cyclophosphamide Mediated Neutropenic Sepsis. Microorganisms. 8(5). 646–646. 8 indexed citations

14.

Sohn, Kyung Mok, Sung‐Gwon Lee, Ji Eun Kim, et al.. (2020). COVID-19 Patients Upregulate Toll-like Receptor 4-mediated Inflammatory Signaling That Mimics Bacterial Sepsis. Journal of Korean Medical Science. 35(38). e343–e343. 156 indexed citations

15.

Lee, Sung‐Gwon, Yong-An Kim, Eun‐Mi Kim, et al.. (2020). Identification of Differentially Expressed Genes Associated with Extracellular Matrix Degradation and Inflammatory Regulation in Calcific Tendinopathy Using RNA Sequencing. Calcified Tissue International. 107(5). 489–498. 11 indexed citations

16.

Won, Minho, et al.. (2019). RBM47-regulated alternative splicing of TJP1 promotes actin stress fiber assembly during epithelial-to-mesenchymal transition. Oncogene. 38(38). 6521–6536. 33 indexed citations

17.

Lee, Sung‐Gwon, et al.. (2019). Identification and sequencing of the gene encoding DNA methyltransferase 3 (DNMT3) from sea cucumber, Apostichopus japonicus. Molecular Biology Reports. 46(4). 3791–3800. 3 indexed citations

18.

Jo, Jihoon, Sunkyung Choi, Sung‐Gwon Lee, et al.. (2019). Conventionally used reference genes are not outstanding for normalization of gene expression in human cancer research. BMC Bioinformatics. 20(S10). 245–245. 44 indexed citations

19.

Lee, Junghwan, Sung‐Gwon Lee, Kee K. Kim, et al.. (2019). Characterisation of genes differentially expressed in macrophages by virulent and attenuated Mycobacterium tuberculosis through RNA-Seq analysis. Scientific Reports. 9(1). 4027–4027. 24 indexed citations

20.

Jo, Jihoon, Hyun-Gwan Lee, Sung‐Gwon Lee, et al.. (2017). Draft genome of the sea cucumber Apostichopus japonicus and genetic polymorphism among color variants. GigaScience. 6(1). 1–1. 53 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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