Ching-Chyuan Hsieh

812 total citations
15 papers, 666 citations indexed

About

Ching-Chyuan Hsieh is a scholar working on Molecular Biology, Aging and Endocrine and Autonomic Systems. According to data from OpenAlex, Ching-Chyuan Hsieh has authored 15 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Aging and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Ching-Chyuan Hsieh's work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Heat shock proteins research (5 papers). Ching-Chyuan Hsieh is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (7 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Heat shock proteins research (5 papers). Ching-Chyuan Hsieh collaborates with scholars based in United States, Greece and South Korea. Ching-Chyuan Hsieh's co-authors include John Papaconstantinou, David Kuninger, Kevin Flurkey, Jeffrey P. Rabek, David E. Harrison, James H. DeFord, Mi Ra An, Judah Rosenblatt, David Gilpin and Wei Xiong and has published in prestigious journals such as Molecular and Cellular Biology, Biochemical and Biophysical Research Communications and Molecular Biology of the Cell.

In The Last Decade

Ching-Chyuan Hsieh

15 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching-Chyuan Hsieh United States 13 369 191 168 93 74 15 666
Yuri Shimoda Japan 7 386 1.0× 184 1.0× 50 0.3× 164 1.8× 218 2.9× 10 708
Yongheng Cao Japan 8 431 1.2× 208 1.1× 48 0.3× 23 0.2× 100 1.4× 8 612
Young‐Ki Paik South Korea 13 375 1.0× 117 0.6× 56 0.3× 39 0.4× 44 0.6× 17 712
Sonal Harbaran United States 8 481 1.3× 220 1.2× 65 0.4× 51 0.5× 204 2.8× 8 976
Martin O’Brien United States 11 180 0.5× 143 0.7× 36 0.2× 85 0.9× 146 2.0× 13 524
Yul Ji South Korea 13 248 0.7× 269 1.4× 53 0.3× 57 0.6× 180 2.4× 18 588
Ryan W. Matika United States 8 329 0.9× 126 0.7× 45 0.3× 21 0.2× 82 1.1× 13 528
Kirsten Hartil United States 12 405 1.1× 227 1.2× 34 0.2× 15 0.2× 88 1.2× 16 790
Douglas F. Dluzen United States 12 400 1.1× 113 0.6× 26 0.2× 41 0.4× 46 0.6× 18 639
Hiroko Kawata Japan 13 424 1.1× 142 0.7× 13 0.1× 69 0.7× 175 2.4× 19 777

Countries citing papers authored by Ching-Chyuan Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Chyuan Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Chyuan Hsieh. 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 Ching-Chyuan Hsieh. The network helps show where Ching-Chyuan Hsieh may publish in the future.

Co-authorship network of co-authors of Ching-Chyuan Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Ching-Chyuan Hsieh. A scholar is included among the top collaborators of Ching-Chyuan Hsieh 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 Ching-Chyuan Hsieh. Ching-Chyuan Hsieh 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.
Thomsen, Gretchen M., Ching-Chyuan Hsieh, Steven M. Solano, et al.. (2019). O.24Biodistribution of onasemnogene abeparvovec (AVXS-101) DNA, mRNA, and SMN protein in human tissue. Neuromuscular Disorders. 29. S122–S123. 2 indexed citations
2.
Papaconstantinou, John & Ching-Chyuan Hsieh. (2015). IGF-1 mediated phosphorylation of specific IRS-1 serines inAmes dwarffibroblasts is associated with longevity. Oncotarget. 6(34). 35315–35323. 5 indexed citations
3.
Hsieh, Ching-Chyuan & John Papaconstantinou. (2009). Dermal fibroblasts from long-lived Ames dwarf mice maintain their in vivo resistance to mitochondrial generated reactive oxygen species (ROS). Aging. 1(9). 784–802. 21 indexed citations
4.
Hsieh, Ching-Chyuan & John Papaconstantinou. (2004). Akt/PKB and p38 MAPK signaling, translational initiation and longevity in Snell dwarf mouse livers. Mechanisms of Ageing and Development. 125(10-11). 785–798. 46 indexed citations
5.
Hsieh, Ching-Chyuan, et al.. (2004). Altered oxidative stress response of the long-lived Snell dwarf mouse. Biochemical and Biophysical Research Communications. 318(4). 998–1005. 33 indexed citations
6.
Hsieh, Ching-Chyuan, Judah Rosenblatt, & John Papaconstantinou. (2003). Age-associated changes in SAPK/JNK and p38 MAPK signaling in response to the generation of ROS by 3-nitropropionic acid. Mechanisms of Ageing and Development. 124(6). 733–746. 62 indexed citations
7.
Hsieh, Ching-Chyuan, James H. DeFord, Kevin Flurkey, David E. Harrison, & John Papaconstantinou. (2002). Effects of the Pit1 mutation on the insulin signaling pathway: implications on the longevity of the long-lived Snell dwarf mouse. Mechanisms of Ageing and Development. 123(9). 1245–1255. 76 indexed citations
8.
Hsieh, Ching-Chyuan, James H. DeFord, Kevin Flurkey, David E. Harrison, & John Papaconstantinou. (2002). Implications for the insulin signaling pathway in Snell dwarf mouse longevity: a similarity with the C. elegans longevity paradigm. Mechanisms of Ageing and Development. 123(9). 1229–1244. 65 indexed citations
9.
Hsieh, Ching-Chyuan & John Papaconstantinou. (2002). The effect of aging on p38 signaling pathway activity in the mouse liver and in response to ROS generated by 3-nitropropionic acid. Mechanisms of Ageing and Development. 123(11). 1423–1435. 43 indexed citations
10.
Hsieh, Ching-Chyuan, Wei Xiong, Qizhi Xie, et al.. (1998). Effects of Age on the Posttranscriptional Regulation of CCAAT/Enhancer Binding Protein α and CCAAT/Enhancer Binding Protein β Isoform Synthesis in Control and LPS-Treated Livers. Molecular Biology of the Cell. 9(6). 1479–1494. 60 indexed citations
11.
Rabek, Jeffrey P., et al.. (1998). Regulation of LPS-mediated induction of C/EBPδ gene expression in livers of young and aged mice. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1398(2). 137–147. 18 indexed citations
12.
Yiangou, Minas, et al.. (1998). Induction of a subgroup of acute phase protein genes in mouse liver by hyperthermia. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1396(2). 191–206. 23 indexed citations
13.
14.
An, Mi Ra, et al.. (1996). Evidence for Posttranscriptional Regulation of C/EBPα and C/EBPβ Isoform Expression during the Lipopolysaccharide-Mediated Acute-Phase Response†. Molecular and Cellular Biology. 16(5). 2295–2306. 151 indexed citations
15.
Gilpin, David, Ching-Chyuan Hsieh, David Kuninger, David N. Herndon, & John Papaconstantinou. (1996). Effect of thermal injury on the expression of transcription factors that regulate acute phase response genes: The response of C/EBPα, C/EBPβ, and C/EBPδ to thermal injury. Surgery. 119(6). 674–683. 36 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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