Ted Hung‐Tse Chang

1.6k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Ted Hung‐Tse Chang is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Ted Hung‐Tse Chang has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Oncology. Recurrent topics in Ted Hung‐Tse Chang's work include Muscle Physiology and Disorders (7 papers), Cancer-related Molecular Pathways (3 papers) and Congenital heart defects research (3 papers). Ted Hung‐Tse Chang is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Cancer-related Molecular Pathways (3 papers) and Congenital heart defects research (3 papers). Ted Hung‐Tse Chang collaborates with scholars based in France, United States and United Kingdom. Ted Hung‐Tse Chang's co-authors include Margaret Buckingham, Didier Rocancourt, Juliette Hadchouel, Philippe Daubas, Frédéric Relaix, Sigolène M. Meilhac, Lola Bajard, Didier Montarras, Shahragim Tajbakhsh and Robert Schlegel and has published in prestigious journals such as PLoS ONE, Development and Oncogene.

In The Last Decade

Ted Hung‐Tse Chang

15 papers receiving 1.2k citations

Hit Papers

The formation of skeletal muscle: from somite to limb 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ted Hung‐Tse Chang France 11 1.0k 203 148 120 118 15 1.2k
Jaime J. Carvajal United Kingdom 24 1.4k 1.4× 341 1.7× 133 0.9× 145 1.2× 125 1.1× 41 1.8k
Maura H. Parker United States 11 1.0k 1.0× 170 0.8× 135 0.9× 83 0.7× 108 0.9× 20 1.2k
Mònica Suelves Spain 16 906 0.9× 104 0.5× 114 0.8× 99 0.8× 157 1.3× 26 1.1k
Shravanti Rampalli India 14 1.3k 1.3× 169 0.8× 154 1.0× 135 1.1× 104 0.9× 20 1.5k
Vahab D. Soleimani Canada 16 952 0.9× 197 1.0× 185 1.3× 107 0.9× 200 1.7× 34 1.4k
Xiaozhong Shi United States 20 1.2k 1.2× 147 0.7× 223 1.5× 253 2.1× 133 1.1× 29 1.4k
Partha S. Sarkar United States 31 1.8k 1.7× 258 1.3× 87 0.6× 83 0.7× 102 0.9× 40 2.2k
Michael S. Huh Canada 10 745 0.7× 160 0.8× 173 1.2× 69 0.6× 81 0.7× 13 963
Jay L. Vivian United States 20 947 0.9× 247 1.2× 111 0.8× 119 1.0× 90 0.8× 45 1.3k
Dominique Marchant France 22 752 0.7× 260 1.3× 66 0.4× 133 1.1× 94 0.8× 54 1.3k

Countries citing papers authored by Ted Hung‐Tse Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ted Hung‐Tse Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ted Hung‐Tse Chang

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

All Works

15 of 15 papers shown
1.
Mademtzoglou, Despoina, Sonia Alonso‐Martín, Ted Hung‐Tse Chang, et al.. (2017). A p57 conditional mutant allele that allows tracking of p57‐expressing cells. genesis. 55(4). 6 indexed citations
2.
Alonso‐Martín, Sonia, Anne Rochat, Despoina Mademtzoglou, et al.. (2016). Gene Expression Profiling of Muscle Stem Cells Identifies Novel Regulators of Postnatal Myogenesis. Frontiers in Cell and Developmental Biology. 4. 58–58. 44 indexed citations
3.
Zalc, Antoine, Shinichiro Hayashi, Frédéric Aurade, et al.. (2014). Antagonistic regulation of p57kip2 by Hes/Hey downstream of Notch signaling and muscle regulatory factors regulates skeletal muscle growth arrest. Development. 141(14). 2780–2790. 40 indexed citations
4.
Lagha, Mounia, Alicia Mayeuf-Louchart, Ted Hung‐Tse Chang, et al.. (2013). Itm2a Is a Pax3 Target Gene, Expressed at Sites of Skeletal Muscle Formation In Vivo. PLoS ONE. 8(5). e63143–e63143. 23 indexed citations
5.
Chang, Weng‐Cheng, Chia‐Hsin Chen, Ming‐Fen Lee, Ted Hung‐Tse Chang, & Yamei Yu. (2009). Chlorogenic acid attenuates adhesion molecules upregulation in IL-1β-treated endothelial cells. European Journal of Nutrition. 49(5). 267–275. 52 indexed citations
6.
Bajolle, Fanny, Stéphane Zaffran, Sigolène M. Meilhac, et al.. (2007). Myocardium at the base of the aorta and pulmonary trunk is prefigured in the outflow tract of the heart and in subdomains of the second heart field. Developmental Biology. 313(1). 25–34. 59 indexed citations
7.
Chang, Ted Hung‐Tse, Stéphane D. Vincent, Margaret Buckingham, & Peter S. Zammit. (2007). The A17 enhancer directs expression of Myf5 to muscle satellite cells but Mrf4 to myonuclei. Developmental Dynamics. 236(12). 3419–3426. 5 indexed citations
8.
Chang, Ted Hung‐Tse, Michael Primig, Juliette Hadchouel, et al.. (2004). An enhancer directs differential expression of the linked Mrf4 and Myf5 myogenic regulatory genes in the mouse. Developmental Biology. 269(2). 595–608. 28 indexed citations
9.
Buckingham, Margaret, Lola Bajard, Ted Hung‐Tse Chang, et al.. (2003). The formation of skeletal muscle: from somite to limb. Journal of Anatomy. 202(1). 59–68. 680 indexed citations breakdown →
10.
Hadchouel, Juliette, Jaime J. Carvajal, Philippe Daubas, et al.. (2003). Analysis of a key regulatory region upstream of theMyf5gene reveals multiple phases of myogenesis, orchestrated at each site by a combination of elements dispersed throughout the locus. Development. 130(15). 3415–3426. 75 indexed citations
11.
Hadchouel, Juliette, Shahragim Tajbakhsh, Michael Primig, et al.. (2000). Modular long-range regulation of Myf5 reveals unexpected heterogeneity between skeletal muscles in the mouse embryo. Development. 127(20). 4455–4467. 106 indexed citations
12.
Primig, Michael, Ted Hung‐Tse Chang, & Margaret Buckingham. (1998). A novel GFPneo vector designed for the isolation and analysis of enhancer elements in transfected mammalian cells. Gene. 215(1). 181–189. 5 indexed citations
13.
Chang, Ted Hung‐Tse, F. Andrew Ray, David Thompson, & Robert Schlegel. (1997). Disregulation of mitotic checkpoints and regulatory proteins following acute expression of SV40 large T antigen in diploid human cells. Oncogene. 14(20). 2383–2393. 70 indexed citations
14.
Chang, Ted Hung‐Tse & Robert Schlegel. (1996). SV40 T antigen increases the expression and activities of p34cdc2, cyclin A, and cyclin B prior to immortalization of human diploid fibroblasts. Journal of Cellular Biochemistry. 60(2). 161–172. 14 indexed citations
15.
Chang, Ted Hung‐Tse, et al.. (1996). Staurosporine resistance accompanies DNA tumor virus-induced immortalization and is independent of the expression and activities of ERK1, ERK2, cyclin A, cyclin-dependent kinase (cdk) 2, and cdk4.. PubMed. 7(3). 361–72. 4 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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