Soo Young Lee

6.2k total citations · 4 hit papers
68 papers, 5.1k citations indexed

About

Soo Young Lee is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Soo Young Lee has authored 68 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 31 papers in Oncology and 20 papers in Cancer Research. Recurrent topics in Soo Young Lee's work include Bone Metabolism and Diseases (41 papers), Bone health and treatments (27 papers) and NF-κB Signaling Pathways (18 papers). Soo Young Lee is often cited by papers focused on Bone Metabolism and Diseases (41 papers), Bone health and treatments (27 papers) and NF-κB Signaling Pathways (18 papers). Soo Young Lee collaborates with scholars based in South Korea, United States and United Kingdom. Soo Young Lee's co-authors include Na Kyung Lee, Nacksung Kim, Yongwon Choi, Jin Hee Park, Jaerang Rho, Yun Soo Bae, Song-Yi Han, Dae-won Jeong, Yuho Kadono and Matthew C. Walsh and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Soo Young Lee

63 papers receiving 5.0k citations

Hit Papers

TRANCE Is a Novel Ligand ... 1997 2026 2006 2016 1997 2005 2005 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soo Young Lee South Korea 29 3.6k 2.0k 1.0k 775 682 68 5.1k
Hong‐Hee Kim South Korea 41 3.6k 1.0× 1.8k 0.9× 896 0.9× 840 1.1× 538 0.8× 126 5.2k
Masaki Inada Japan 31 2.1k 0.6× 1.3k 0.7× 1.3k 1.2× 423 0.5× 456 0.7× 90 4.8k
Lin Zhou China 38 1.9k 0.5× 1.2k 0.6× 840 0.8× 868 1.1× 116 0.2× 149 4.1k
Paula H. Stern United States 37 1.9k 0.5× 1.4k 0.7× 319 0.3× 194 0.3× 772 1.1× 163 4.4k
Kyu Yun Jang South Korea 42 2.3k 0.6× 1.5k 0.8× 702 0.7× 708 0.9× 73 0.1× 199 5.3k
Kazuo Yudoh Japan 38 1.4k 0.4× 532 0.3× 516 0.5× 697 0.9× 201 0.3× 145 4.4k
Jawed A. Siddiqui United States 31 1.5k 0.4× 673 0.3× 353 0.3× 300 0.4× 233 0.3× 79 2.8k
Gopal C. Kundu India 50 3.6k 1.0× 1.5k 0.8× 1.5k 1.5× 877 1.1× 35 0.1× 134 7.3k
Ke Xu China 38 2.1k 0.6× 792 0.4× 1.1k 1.1× 444 0.6× 81 0.1× 145 4.2k
Bing Li China 32 2.2k 0.6× 682 0.3× 1.0k 1.0× 356 0.5× 74 0.1× 198 4.4k

Countries citing papers authored by Soo Young Lee

Since Specialization
Citations

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

Fields of papers citing papers by Soo Young Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soo Young Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Soo Young Lee. A scholar is included among the top collaborators of Soo Young 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 Soo Young Lee. Soo Young 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.
Che, Xiangguo, Hyun‐Ju Kim, Soo Young Lee, et al.. (2025). Dimeric R25CPTH(1–34) activates the parathyroid hormone-1 receptor in vitro and stimulates bone formation in osteoporotic female mice. eLife. 13. 1 indexed citations
2.
Kim, Suwon, Hana Lee, June‐Yong Lee, et al.. (2024). 5-aminosalicylic acid suppresses osteoarthritis through the OSCAR-PPARγ axis. Nature Communications. 15(1). 1024–1024. 16 indexed citations
4.
Lee, Min Kyung, et al.. (2024). Context-Dependent and Locus-Specific Role of H3K36 Methylation in Transcriptional Regulation. Journal of Molecular Biology. 437(1). 168796–168796. 4 indexed citations
5.
Park, Jin Hee, Hana Lee, Hyunil Ha, et al.. (2024). RUFY4 deletion prevents pathological bone loss by blocking endo-lysosomal trafficking of osteoclasts. Bone Research. 12(1). 29–29. 12 indexed citations
6.
Lee, June‐Yong, et al.. (2023). IgSF11 deficiency alleviates osteoarthritis in mice by suppressing early subchondral bone changes. Experimental & Molecular Medicine. 55(12). 2576–2585. 3 indexed citations
7.
Jang, Seo Young, et al.. (2022). BCAT1 promotes osteoclast maturation by regulating branched-chain amino acid metabolism. Experimental & Molecular Medicine. 54(6). 825–833. 33 indexed citations
8.
Lin, Jingjing, Jeong‐Eun Huh, Jin‐Hee Park, et al.. (2021). Tetraspanin 7 regulates osteoclast function through association with the RANK/αvβ3 integrin complex. Journal of Cellular Physiology. 237(1). 846–855. 9 indexed citations
9.
Lee, Soo Young, et al.. (2020). GDNF secreted by pre-osteoclasts induces migration of bone marrow mesenchymal stem cells and stimulates osteogenesis. BMB Reports. 53(12). 646–651. 11 indexed citations
10.
Choi, Han Kyoung, et al.. (2018). STAC2 negatively regulates osteoclast formation by targeting the RANK signaling complex. Cell Death and Differentiation. 25(8). 1364–1374. 26 indexed citations
11.
Park, Jin Hee, Na Kyung Lee, & Soo Young Lee. (2017). Current Understanding of RANK Signaling in Osteoclast Differentiation and Maturation. Molecules and Cells. 40(10). 706–713. 517 indexed citations breakdown →
12.
Lee, Jihyun, Sujin Kim, Jin‐Kyu Rhee, et al.. (2017). Saturated fatty acid determination method using paired ion electrospray ionization mass spectrometry coupled with capillary electrophoresis. Analytica Chimica Acta. 984. 223–231. 27 indexed citations
13.
Lee, Jun‐Ho, Dong-Hyun Seo, Hye In Lee, et al.. (2017). Euphorbia factor L1 inhibits osteoclastogenesis by regulating cellular redox status and induces Fas-mediated apoptosis in osteoclast. Free Radical Biology and Medicine. 112. 191–199. 43 indexed citations
14.
Lee, Kyunghee, et al.. (2016). Accelerated Lactate Dehydrogenase Activity Potentiates Osteoclastogenesis via NFATc1 Signaling. PLoS ONE. 11(4). e0153886–e0153886. 43 indexed citations
15.
Choi, Han Kyoung, et al.. (2013). Early estrogen-induced gene 1, a novel RANK signaling component, is essential for osteoclastogenesis. Cell Research. 23(4). 524–536. 31 indexed citations
16.
Kim, Jin Sug, et al.. (2009). Arthroscopically Assisted Medial Meniscal Allograft Transplantation Using a Modified Bone Plug to Facilitate Passage. The Journal of Knee Surgery. 22(3). 259–263. 15 indexed citations
17.
Lee, Na Kyung, Song-Yi Han, Dae-won Jeong, et al.. (2005). A crucial role for reactive oxygen species in RANKL-induced osteoclast differentiation. Blood. 106(3). 852–859. 808 indexed citations breakdown →
18.
Han, Song-Yi, Na Kyung Lee, Kyung‐Hee Kim, et al.. (2005). Transcriptional induction of cyclooxygenase-2 in osteoclast precursors is involved in RANKL-induced osteoclastogenesis. Blood. 106(4). 1240–1245. 52 indexed citations
19.
Chung, Youn Wook, Tae Soo Kim, Soo Young Lee, et al.. (2005). Selenite-induced apoptosis of osteoclasts mediated by the mitochondrial pathway. Toxicology Letters. 160(2). 143–150. 51 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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