Sun‐Kyeong Lee

3.9k total citations
45 papers, 3.0k citations indexed

About

Sun‐Kyeong Lee is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sun‐Kyeong Lee has authored 45 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 25 papers in Oncology and 15 papers in Cancer Research. Recurrent topics in Sun‐Kyeong Lee's work include Bone Metabolism and Diseases (39 papers), Bone health and treatments (20 papers) and MicroRNA in disease regulation (8 papers). Sun‐Kyeong Lee is often cited by papers focused on Bone Metabolism and Diseases (39 papers), Bone health and treatments (20 papers) and MicroRNA in disease regulation (8 papers). Sun‐Kyeong Lee collaborates with scholars based in United States, South Korea and Japan. Sun‐Kyeong Lee's co-authors include Joseph Lorenzo, Héctor L. Aguila, Yongwon Choi, Ock K. Chun, Nacksung Kim, Anne M. Delany, Boguslawa Koczon-Jaremko, Sandra Jastrzebski, Christian E. Jacome-Galarza and Se Hwan Mun and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Sun‐Kyeong Lee

45 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun‐Kyeong Lee United States 29 2.2k 1.3k 556 555 476 45 3.0k
Jung Ha Kim South Korea 28 3.0k 1.4× 1.5k 1.1× 490 0.9× 786 1.4× 464 1.0× 69 3.7k
Kabsun Kim South Korea 25 2.1k 0.9× 1.0k 0.8× 305 0.5× 557 1.0× 338 0.7× 57 2.5k
Teruhito Yamashita Japan 23 2.0k 0.9× 942 0.7× 478 0.9× 336 0.6× 278 0.6× 44 2.7k
Jennifer Tickner Australia 30 1.9k 0.9× 777 0.6× 424 0.8× 540 1.0× 223 0.5× 71 2.8k
Jean‐Pierre David Germany 30 2.8k 1.3× 1.4k 1.0× 405 0.7× 740 1.3× 840 1.8× 48 4.2k
Sakamuri V. Reddy United States 24 1.7k 0.8× 1.1k 0.9× 366 0.7× 504 0.9× 265 0.6× 43 2.3k
Takuma Matsubara Japan 21 2.5k 1.1× 989 0.7× 358 0.6× 576 1.0× 217 0.5× 58 3.2k
Megan Weivoda United States 19 1.5k 0.7× 475 0.4× 402 0.7× 446 0.8× 500 1.1× 43 3.0k
Paul R. Odgren United States 27 2.0k 0.9× 870 0.7× 220 0.4× 310 0.6× 307 0.6× 56 2.6k
Takako Negishi‐Koga Japan 15 1.4k 0.6× 696 0.5× 303 0.5× 282 0.5× 323 0.7× 31 2.1k

Countries citing papers authored by Sun‐Kyeong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Kyeong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sun‐Kyeong Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sun‐Kyeong Lee. A scholar is included among the top collaborators of Sun‐Kyeong 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 Sun‐Kyeong Lee. Sun‐Kyeong 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.
Lee, Sun‐Kyeong, et al.. (2024). The miR‐29‐3p family suppresses inflammatory osteolysis. Journal of Cellular Physiology. 239(8). e31299–e31299. 5 indexed citations
2.
Jastrzebski, Sandra, E. Doyle, W. Brent Edwards, et al.. (2023). PRG4 deficiency in mice alters skeletal structure, mechanics, and calvarial osteoclastogenesis, and rhPRG4 inhibits in vitro osteoclastogenesis. Journal of Orthopaedic Research®. 42(6). 1231–1243. 1 indexed citations
3.
4.
5.
Weivoda, Megan, Sun‐Kyeong Lee, & David G. Monroe. (2020). miRNAs in osteoclast biology. Bone. 143. 115757–115757. 22 indexed citations
6.
Jastrzebski, Sandra, Judith Kalinowski, Se Hwan Mun, et al.. (2019). Protease-Activated Receptor 1 Deletion Causes Enhanced Osteoclastogenesis in Response to Inflammatory Signals through a Notch2-Dependent Mechanism. The Journal of Immunology. 203(1). 105–116. 8 indexed citations
7.
Lee, Sun‐Kyeong, et al.. (2019). MicroRNAs Are Critical Regulators of Osteoclast Differentiation. PubMed. 5(1). 65–74. 26 indexed citations
8.
Kim, Beom‐Jun, Young‐Sun Lee, Sun‐Young Lee, et al.. (2018). Osteoclast-secreted SLIT3 coordinates bone resorption and formation. Journal of Clinical Investigation. 128(4). 1429–1441. 118 indexed citations
9.
Mun, Se Hwan, Sang Kil Lee, Terrence M. Vance, et al.. (2016). Anthocyanin-Rich Blackcurrant Extract Attenuates Ovariectomy-Induced Bone Loss in Mice. Journal of Medicinal Food. 19(4). 390–397. 30 indexed citations
10.
Lee, Sun‐Kyeong, et al.. (2015). Soy Isoflavones and Osteoporotic Bone Loss: A Review with an Emphasis on Modulation of Bone Remodeling. Journal of Medicinal Food. 19(1). 1–14. 126 indexed citations
11.
Franceschetti, Tiziana, Catherine B. Kessler, Sun‐Kyeong Lee, & Anne M. Delany. (2013). miR-29 Promotes Murine Osteoclastogenesis by Regulating Osteoclast Commitment and Migration. Journal of Biological Chemistry. 288(46). 33347–33360. 112 indexed citations
12.
Jacquin, Claire, Boguslawa Koczon-Jaremko, Héctor L. Aguila, et al.. (2009). Macrophage migration inhibitory factor inhibits osteoclastogenesis. Bone. 45(4). 640–649. 35 indexed citations
13.
Lee, Seungjoo, Robert J. Rossi, Sun‐Kyeong Lee, et al.. (2007). CD134 Costimulation Couples the CD137 Pathway to Induce Production of Supereffector CD8 T Cells That Become IL-7 Dependent. The Journal of Immunology. 179(4). 2203–2214. 48 indexed citations
14.
Liu, Fei, Sun‐Kyeong Lee, Douglas J. Adams, Gloria Gronowicz, & Barbara E. Kream. (2007). CREM deficiency in mice alters the response of bone to intermittent parathyroid hormone treatment. Bone. 40(4). 1135–1143. 26 indexed citations
15.
Rho, Jaerang, Daewon Jeong, Tae Soo Kim, et al.. (2006). v-ATPase V0 subunit d2–deficient mice exhibit impaired osteoclast fusion and increased bone formation. Nature Medicine. 12(12). 1403–1409. 450 indexed citations
16.
Lee, Sun‐Kyeong & Joseph Lorenzo. (2006). Cytokines regulating osteoclast formation and function. Current Opinion in Rheumatology. 18(4). 411–418. 73 indexed citations
17.
Lee, Sun‐Kyeong & Charles D. Surh. (2005). Role of interleukin‐7 in bone and T‐cell homeostasis. Immunological Reviews. 208(1). 169–180. 53 indexed citations
18.
Lee, Sun‐Kyeong, et al.. (2005). RANKL-stimulated osteoclast-like cell formation in vitro is partially dependent on endogenous interleukin-1 production. Bone. 38(5). 678–685. 60 indexed citations
19.
Kim, Nacksung, Yuho Kadono, Masamichi Takami, et al.. (2005). Osteoclast differentiation independent of the TRANCE–RANK–TRAF6 axis. The Journal of Experimental Medicine. 202(5). 589–595. 300 indexed citations
20.
Grčević, Danka, Sun‐Kyeong Lee, Ana Marušić, & Joseph Lorenzo. (2000). Depletion of CD4 and CD8 T Lymphocytes in Mice In Vivo Enhances 1,25-Dihydroxyvitamin D3-Stimulated Osteoclast-Like Cell Formation In Vitro by a Mechanism That Is Dependent on Prostaglandin Synthesis. The Journal of Immunology. 165(8). 4231–4238. 79 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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