Chang‐Yeol Yeo

3.3k total citations
48 papers, 2.7k citations indexed

About

Chang‐Yeol Yeo is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Chang‐Yeol Yeo has authored 48 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 10 papers in Oncology and 6 papers in Genetics. Recurrent topics in Chang‐Yeol Yeo's work include TGF-β signaling in diseases (13 papers), Bone Metabolism and Diseases (11 papers) and Developmental Biology and Gene Regulation (10 papers). Chang‐Yeol Yeo is often cited by papers focused on TGF-β signaling in diseases (13 papers), Bone Metabolism and Diseases (11 papers) and Developmental Biology and Gene Regulation (10 papers). Chang‐Yeol Yeo collaborates with scholars based in South Korea, United States and Japan. Chang‐Yeol Yeo's co-authors include Malcolm Whitman, Yun-Hye Jin, Kwang-Youl Lee, Hyung Min Jeong, Kwang Youl Lee, You Hee Choi, Yeon-Jin Kim, Kyu Chung Hur, Xin Chen and Younghee Ahn and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Chang‐Yeol Yeo

48 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang‐Yeol Yeo South Korea 26 2.2k 322 310 302 183 48 2.7k
Aurora A. Burds United States 9 1.7k 0.8× 398 1.2× 276 0.9× 535 1.8× 168 0.9× 13 2.3k
Eyal Bengal Israel 29 2.6k 1.2× 361 1.1× 336 1.1× 278 0.9× 376 2.1× 45 3.1k
Yasuaki Shirayoshi Japan 26 2.6k 1.2× 659 2.0× 259 0.8× 493 1.6× 217 1.2× 87 3.6k
Andreas Hecht Germany 31 4.2k 1.9× 547 1.7× 481 1.6× 398 1.3× 287 1.6× 63 4.8k
Stephen G. Dann United States 16 1.8k 0.8× 199 0.6× 217 0.7× 410 1.4× 220 1.2× 20 2.6k
Mirei Murakami Japan 5 3.1k 1.4× 371 1.2× 241 0.8× 203 0.7× 214 1.2× 5 3.6k
Stéphanie Le Gras France 32 2.0k 0.9× 437 1.4× 290 0.9× 315 1.0× 304 1.7× 57 2.9k
Thomas Floß Germany 25 1.8k 0.8× 457 1.4× 204 0.7× 139 0.5× 146 0.8× 44 2.4k
Jian Zhao China 26 2.2k 1.0× 335 1.0× 149 0.5× 233 0.8× 250 1.4× 76 2.7k
Juan Cadiñanos Spain 23 3.2k 1.5× 354 1.1× 314 1.0× 282 0.9× 376 2.1× 42 4.0k

Countries citing papers authored by Chang‐Yeol Yeo

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Yeol Yeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Yeol Yeo. 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 Chang‐Yeol Yeo. The network helps show where Chang‐Yeol Yeo may publish in the future.

Co-authorship network of co-authors of Chang‐Yeol Yeo

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Yeol Yeo. A scholar is included among the top collaborators of Chang‐Yeol Yeo 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 Chang‐Yeol Yeo. Chang‐Yeol Yeo 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.
2.
Lee, Sung Ho, et al.. (2022). Cyclophilin A Promotes Osteoblast Differentiation by Regulating Runx2. International Journal of Molecular Sciences. 23(16). 9244–9244. 6 indexed citations
3.
Sundrud, Mark S., Changqian Zhou, Maja Edenius, et al.. (2020). Aminoacyl-tRNA synthetase inhibition activates a pathway that branches from the canonical amino acid response in mammalian cells. Proceedings of the National Academy of Sciences. 117(16). 8900–8911. 27 indexed citations
4.
Yeo, Chang‐Yeol, et al.. (2019). Secreted tyrosine kinase Vlk negatively regulates Hedgehog signaling by inducing lysosomal degradation of Smoothened. Biochemical Journal. 477(1). 121–136. 8 indexed citations
5.
Han, Younho, et al.. (2016). Pin1 enhances adipocyte differentiation by positively regulating the transcriptional activity of PPARγ. Molecular and Cellular Endocrinology. 436. 150–158. 18 indexed citations
6.
Bordoli, Mattia R., Susanne B. Breitkopf, Jonathan N. Thon, et al.. (2014). A Secreted Tyrosine Kinase Acts in the Extracellular Environment. Cell. 159(4). 955–955. 3 indexed citations
7.
Rienhoff, Hugh Young, Chang‐Yeol Yeo, Rachel Morissette, et al.. (2013). A mutation in TGFB3 associated with a syndrome of low muscle mass, growth retardation, distal arthrogryposis and clinical features overlapping with marfan and loeys–dietz syndrome. American Journal of Medical Genetics Part A. 161(8). 2040–2046. 69 indexed citations
8.
Min, Hyun Jung, Jung‐Hyun Lee, Chang‐Yeol Yeo, et al.. (2012). Sox10 Controls Migration of B16F10 Melanoma Cells through Multiple Regulatory Target Genes. PLoS ONE. 7(2). e31477–e31477. 29 indexed citations
9.
Jeong, Hyung Min, Yun-Hye Jin, You Hee Choi, et al.. (2012). PKC signaling inhibits osteogenic differentiation through the regulation of Msx2 function. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(8). 1225–1232. 21 indexed citations
10.
Choi, You Hee, Hyung Min Jeong, Yun-Hye Jin, et al.. (2011). Akt phosphorylates and regulates the osteogenic activity of Osterix. Biochemical and Biophysical Research Communications. 411(3). 637–641. 49 indexed citations
11.
Ho, Diana M., Chang‐Yeol Yeo, & Malcolm Whitman. (2010). The role and regulation of GDF11 in Smad2 activation during tailbud formation in the Xenopus embryo. Mechanisms of Development. 127(9-12). 485–495. 24 indexed citations
12.
Jeong, Hyung Min, et al.. (2009). PKA-Mediated Stabilization of FoxH1 Negatively Regulates ERα Activity. Molecules and Cells. 28(1). 67–71. 11 indexed citations
13.
Han, Younho, Yun-Hye Jin, Yeon-Jin Kim, et al.. (2008). Acetylation of Sirt2 by p300 attenuates its deacetylase activity. Biochemical and Biophysical Research Communications. 375(4). 576–580. 73 indexed citations
14.
15.
Kim, Gun‐Hwa, et al.. (2008). Regulation of Activin/Nodal Signaling by Rap2-Directed Receptor Trafficking. Developmental Cell. 15(1). 49–61. 28 indexed citations
16.
Kim, Yongsoo, et al.. (2006). The expression of Usp42 during embryogenesis and spermatogenesis in mouse. Gene Expression Patterns. 7(1-2). 143–148. 25 indexed citations
17.
Seo, Ji Hae, Younghee Ahn, Seung-Rock Lee, Chang‐Yeol Yeo, & Kyu Chung Hur. (2004). The Major Target of the Endogenously Generated Reactive Oxygen Species in Response to Insulin Stimulation Is Phosphatase and Tensin Homolog and Not Phosphoinositide-3 Kinase (PI-3 Kinase) in the PI-3 Kinase/Akt Pathway. Molecular Biology of the Cell. 16(1). 348–357. 148 indexed citations
18.
Oh, S. Paul, et al.. (2002). Activin type IIA and IIB receptors mediate Gdf11 signaling in axial vertebral patterning. Genes & Development. 16(21). 2749–2754. 167 indexed citations
19.
Yeo, Chang‐Yeol & Malcolm Whitman. (2001). Nodal Signals to Smads through Cripto-Dependent and Cripto-Independent Mechanisms. Molecular Cell. 7(5). 949–957. 321 indexed citations
20.
Osada, Shin‐Ichi, Yukio Saijoh, Chang‐Yeol Yeo, et al.. (2000). Activin/Nodal responsiveness and asymmetric expression of a Xenopus nodal-related gene converge on a FAST-regulated module in intron 1. Development. 127(11). 2503–2514. 102 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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