Mijung Yim

1.8k total citations · 1 hit paper
44 papers, 1.5k citations indexed

About

Mijung Yim is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Mijung Yim has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 26 papers in Oncology and 12 papers in Pharmacology. Recurrent topics in Mijung Yim's work include Bone Metabolism and Diseases (31 papers), Bone health and treatments (21 papers) and NF-κB Signaling Pathways (11 papers). Mijung Yim is often cited by papers focused on Bone Metabolism and Diseases (31 papers), Bone health and treatments (21 papers) and NF-κB Signaling Pathways (11 papers). Mijung Yim collaborates with scholars based in South Korea, Japan and United States. Mijung Yim's co-authors include Dong‐Seok Lee, Ju‐Hee Kang, Bryant G. Darnay, Betty Lamothe, Joseph R. Arron, J. Wesley Pike, Yongwon Choi, Takashi Kobayashi, Hao Wu and Hong Ye and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Mijung Yim

44 papers receiving 1.5k citations

Hit Papers

Distinct molecular mechanism for initiating TRAF6 signalling 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mijung Yim South Korea 17 895 517 390 364 126 44 1.5k
Dallas C. Jones United States 17 1.2k 1.4× 372 0.7× 255 0.7× 255 0.7× 214 1.7× 27 1.8k
KyuBum Kwack South Korea 24 1.2k 1.3× 412 0.8× 433 1.1× 553 1.5× 114 0.9× 98 2.1k
Stefan Uderhardt Germany 20 928 1.0× 792 1.5× 176 0.5× 207 0.6× 175 1.4× 34 2.1k
Jiajie Tu China 24 846 0.9× 477 0.9× 464 1.2× 293 0.8× 58 0.5× 61 1.8k
Martin Böttcher Germany 19 929 1.0× 521 1.0× 251 0.6× 358 1.0× 177 1.4× 46 1.7k
Qiao Mei China 27 1.7k 1.9× 151 0.3× 605 1.6× 385 1.1× 108 0.9× 100 2.5k
Sarah E. Headland United Kingdom 8 659 0.7× 498 1.0× 237 0.6× 114 0.3× 114 0.9× 13 1.3k
Yajun Xu China 22 796 0.9× 817 1.6× 622 1.6× 440 1.2× 69 0.5× 37 1.9k
Qiang Guo China 21 888 1.0× 686 1.3× 335 0.9× 207 0.6× 131 1.0× 54 1.8k

Countries citing papers authored by Mijung Yim

Since Specialization
Citations

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

Fields of papers citing papers by Mijung Yim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mijung Yim

This figure shows the co-authorship network connecting the top 25 collaborators of Mijung Yim. A scholar is included among the top collaborators of Mijung Yim 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 Mijung Yim. Mijung Yim 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.
Kang, Ju‐Hee, et al.. (2023). Extracellular Prdx1 mediates bacterial infection and inflammatory bone diseases. Life Sciences. 333. 122140–122140. 3 indexed citations
2.
Yim, Mijung. (2020). The Role of Toll-Like Receptors in Osteoclastogenesis. Journal of Bone Metabolism. 27(4). 227–235. 20 indexed citations
3.
Chae, Unbin, Na Rae Park, Jin‐Young Choi, et al.. (2018). IDH2-Deficient Mice Develop Spinal Deformities With Aging. Physiological Research. 67(3). 487–494. 7 indexed citations
4.
Wang, Xin, Ting Zheng, Ju‐Hee Kang, et al.. (2016). Decursin from Angelica gigas suppresses RANKL-induced osteoclast formation and bone loss. European Journal of Pharmacology. 774. 34–42. 18 indexed citations
5.
Kang, Ju-Hee, Ting Zheng, Jung Min Lee, et al.. (2015). 5-Lipoxygenase inhibitors suppress RANKL-induced osteoclast formation via NFATc1 expression. Bioorganic & Medicinal Chemistry. 23(21). 7069–7078. 16 indexed citations
6.
Lee, Juhyun, et al.. (2015). Eriodicyol inhibits osteoclast differentiation and ovariectomy-induced bone loss in vivo. Experimental Cell Research. 339(2). 380–388. 14 indexed citations
7.
Kang, Ju‐Hee, et al.. (2015). Novel diether compounds inhibiting differentiation of osteoclasts. Archives of Pharmacal Research. 39(2). 178–190. 3 indexed citations
8.
Park, Hyojung, et al.. (2014). Peroxiredoxin II Negatively Regulates Lipopolysaccharide-Induced Osteoclast Formation and Bone Loss via JNK and STAT3. Antioxidants and Redox Signaling. 22(1). 63–77. 45 indexed citations
9.
Zheng, Ting, Xin Wang, & Mijung Yim. (2014). Miconazole inhibits receptor activator of nuclear factor-κB ligand-mediated osteoclast formation and function. European Journal of Pharmacology. 737. 185–193. 7 indexed citations
10.
Miyamoto, A., Masamichi Takami, Ayako Mochizuki, et al.. (2012). R848, a toll-like receptor 7 agonist, inhibits osteoclast differentiation but not survival or bone-resorbing function of mature osteoclasts. Cytotechnology. 64(3). 331–339. 12 indexed citations
11.
Lee, Jean C., Hyojung Park, Ju‐Hee Kang, et al.. (2012). 5-Lipoxygenase Mediates RANKL-Induced Osteoclast Formation via the Cysteinyl Leukotriene Receptor 1. The Journal of Immunology. 189(11). 5284–5292. 28 indexed citations
12.
Zheng, Ting, et al.. (2012). Aminocoumarins inhibit osteoclast differentiation and bone resorption via downregulation of nuclear factor of activated T cells c1. Biochemical Pharmacology. 85(3). 417–425. 4 indexed citations
13.
Park, Hyojung, et al.. (2011). L-type Ca2+ channel agonist inhibits RANKL-induced osteoclast formation via NFATc1 down-regulation. Life Sciences. 89(5-6). 159–164. 9 indexed citations
14.
Yim, Mijung, et al.. (2011). Beta-glycerophosphate accelerates RANKL-induced osteoclast formation in the presence of ascorbic acid.. PubMed. 66(3). 195–200. 6 indexed citations
15.
Park, Hyojung, Jung Min Lee, Chen Ling, et al.. (2009). PDE4 inhibitor upregulates PTH‐induced osteoclast formation via CRE‐mediated COX‐2 expression in osteoblasts. FEBS Letters. 584(1). 173–180. 12 indexed citations
16.
Yim, Mijung, et al.. (2008). Use of a library of mutated Maackia amurensis hemagglutinin for profiling the cell lineage and differentiation. PROTEOMICS. 8(16). 3274–3283. 26 indexed citations
17.
Park, Hyojung & Mijung Yim. (2007). Rolipram, a phosphodiesterase 4 inhibitor, suppresses PGE2-induced osteoclast formation by lowering osteoclast progenitor cell viability. Archives of Pharmacal Research. 30(4). 486–92. 8 indexed citations
18.
Park, Hyojung, Soo Young Lee, Dong‐Seok Lee, & Mijung Yim. (2007). Phosphodiesterase 4 inhibitor regulates the TRANCE/OPG ratio via COX-2 expression in a manner similar to PTH in osteoblasts. Biochemical and Biophysical Research Communications. 354(1). 178–183. 15 indexed citations
19.
Kim, Mi Sun, et al.. (2004). Rolipram, a Phosphodiesterase 4 inhibitor, stimulates osteoclast formation by inducing TRANCE expression in mouse calvarial cells. Archives of Pharmacal Research. 27(12). 1258–1262. 8 indexed citations
20.
Ye, Hong, Joseph R. Arron, Betty Lamothe, et al.. (2002). Distinct molecular mechanism for initiating TRAF6 signalling. Nature. 418(6896). 443–447. 550 indexed citations breakdown →

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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