Jae‐Yeon Yang

550 total citations
10 papers, 422 citations indexed

About

Jae‐Yeon Yang is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Jae‐Yeon Yang has authored 10 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Genetics. Recurrent topics in Jae‐Yeon Yang's work include Bone Metabolism and Diseases (4 papers), Bone health and treatments (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Jae‐Yeon Yang is often cited by papers focused on Bone Metabolism and Diseases (4 papers), Bone health and treatments (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Jae‐Yeon Yang collaborates with scholars based in South Korea, Armenia and United States. Jae‐Yeon Yang's co-authors include Sang Wan Kim, Chan Soo Shin, Sun Wook Cho, Seong Yeon Kim, Martin K. Selig, Henry M. Kronenberg, Wook‐Young Baek, Paola Divieti Pajevic, Hyun Jin Sun and Kevin J. Barry and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Bone and Mineral Research and Journal of Cellular Physiology.

In The Last Decade

Jae‐Yeon Yang

10 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae‐Yeon Yang South Korea 9 296 160 99 80 57 10 422
Minlin Liu United States 5 332 1.1× 159 1.0× 81 0.8× 39 0.5× 70 1.2× 8 452
Helene Bjørg Kristensen Denmark 7 205 0.7× 174 1.1× 132 1.3× 37 0.5× 23 0.4× 13 426
Marta Maycas Spain 10 375 1.3× 233 1.5× 176 1.8× 25 0.3× 69 1.2× 11 560
Kenneth D. Patrene United States 9 293 1.0× 227 1.4× 50 0.5× 37 0.5× 31 0.5× 16 536
Carmen E. Macsai Australia 6 194 0.7× 63 0.4× 60 0.6× 37 0.5× 60 1.1× 7 353
Forest Lai United States 7 311 1.1× 189 1.2× 148 1.5× 20 0.3× 56 1.0× 7 497
Rossella Labella United States 8 117 0.4× 107 0.7× 54 0.5× 56 0.7× 22 0.4× 13 336
Danese M. Joiner United States 10 334 1.1× 111 0.7× 89 0.9× 20 0.3× 88 1.5× 11 491
Stella Weidauer Germany 8 359 1.2× 119 0.7× 95 1.0× 28 0.3× 78 1.4× 8 459
Tracy A. Brennan United States 10 210 0.7× 68 0.4× 58 0.6× 68 0.8× 74 1.3× 14 480

Countries citing papers authored by Jae‐Yeon Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Yeon Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Yeon Yang. 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 Jae‐Yeon Yang. The network helps show where Jae‐Yeon Yang may publish in the future.

Co-authorship network of co-authors of Jae‐Yeon Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Yeon Yang. A scholar is included among the top collaborators of Jae‐Yeon Yang 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 Jae‐Yeon Yang. Jae‐Yeon Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Hong, A Ram, Jae‐Yeon Yang, Ji Yeon Lee, et al.. (2022). Reactivation of Bone Lining Cells are Attenuated Over Repeated Anti-sclerostin Antibody Administration. Calcified Tissue International. 111(5). 495–505. 2 indexed citations
2.
Lee, Ji Yeon, Jae‐Yeon Yang, & Sang Wan Kim. (2021). Bone Lining Cells Could Be Sources of Bone Marrow Adipocytes. Frontiers in Endocrinology. 12. 766254–766254. 9 indexed citations
3.
Hong, A Ram, Kwangsoo Kim, Ji Yeon Lee, et al.. (2020). Transformation of Mature Osteoblasts into Bone Lining Cells and RNA Sequencing-Based Transcriptome Profiling of Mouse Bone during Mechanical Unloading. Endocrinology and Metabolism. 35(2). 456–469. 13 indexed citations
4.
Cho, Hwa Young, Hyojung Park, Jae‐Yeon Yang, et al.. (2013). In Vivo Deletion of CAR Resulted in High Bone Mass Phenotypes in Male Mice. Journal of Cellular Physiology. 229(5). 561–571. 10 indexed citations
5.
Kim, Sang Wan, Paola Divieti Pajevic, Martin K. Selig, et al.. (2012). Intermittent parathyroid hormone administration converts quiescent lining cells to active osteoblasts. Journal of Bone and Mineral Research. 27(10). 2075–2084. 179 indexed citations
7.
Kim, Sang Wan, Ju Yeon Jung, Jae‐Yeon Yang, et al.. (2009). Ghrelin inhibits early osteogenic differentiation of C3H10T1/2 cells by suppressing Runx2 expression and enhancing PPARγ and C/EBPα expression. Journal of Cellular Biochemistry. 106(4). 626–632. 9 indexed citations
8.
Cho, Sun Wook, Hyun Jin Sun, Jae‐Yeon Yang, et al.. (2009). Transplantation of Mesenchymal Stem Cells Overexpressing RANK-Fc or CXCR4 Prevents Bone Loss in Ovariectomized Mice. Molecular Therapy. 17(11). 1979–1987. 75 indexed citations
9.
Cho, Sun Wook, Jae‐Yeon Yang, Hyun Jin Sun, et al.. (2009). Wnt inhibitory factor (WIF)-1 inhibits osteoblastic differentiation in mouse embryonic mesenchymal cells. Bone. 44(6). 1069–1077. 47 indexed citations
10.
Cho, Sun Wook, Hyun Jin Sun, Jae‐Yeon Yang, et al.. (2008). Differential effects of secreted frizzled-related proteins (sFRPs) on osteoblastic differentiation of mouse mesenchymal cells and apoptosis of osteoblasts. Biochemical and Biophysical Research Communications. 367(2). 399–405. 46 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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