Chia-Chun Chang

1.1k total citations
22 papers, 966 citations indexed

About

Chia-Chun Chang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Genetics. According to data from OpenAlex, Chia-Chun Chang has authored 22 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Genetics. Recurrent topics in Chia-Chun Chang's work include T-cell and B-cell Immunology (4 papers), Virus-based gene therapy research (3 papers) and Immune Cell Function and Interaction (3 papers). Chia-Chun Chang is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Virus-based gene therapy research (3 papers) and Immune Cell Function and Interaction (3 papers). Chia-Chun Chang collaborates with scholars based in Taiwan, United States and China. Chia-Chun Chang's co-authors include Benjamin G. Cocks, Gregorio Aversa, J E de Vries, Juha Punnonen, Hans Yssel, Anne Wright, Yung‐Chiun Her, Mark S. Kindy, Gail E. Sonenshein and Brett Cox and has published in prestigious journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Chia-Chun Chang

20 papers receiving 943 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chia-Chun Chang Taiwan 9 460 208 171 129 96 22 966
Joseph G. Skeate United States 18 395 0.9× 329 1.6× 337 2.0× 204 1.6× 97 1.0× 32 966
Ryosuke Fukuda Japan 16 250 0.5× 203 1.0× 300 1.8× 55 0.4× 102 1.1× 35 777
Agata Levay United States 16 428 0.9× 292 1.4× 751 4.4× 161 1.2× 156 1.6× 21 1.4k
John Bradley United States 13 634 1.4× 108 0.5× 235 1.4× 87 0.7× 70 0.7× 22 991
Hiroyuki Yamamoto Japan 19 458 1.0× 144 0.7× 295 1.7× 187 1.4× 105 1.1× 62 1.1k
Frank Wegmann Netherlands 13 269 0.6× 97 0.5× 298 1.7× 69 0.5× 96 1.0× 27 722
Monia Bardelli Italy 13 527 1.1× 406 2.0× 392 2.3× 183 1.4× 38 0.4× 20 1.1k
Concepción Revilla Spain 18 643 1.4× 74 0.4× 455 2.7× 128 1.0× 147 1.5× 50 1.5k
Yanal Murad Canada 14 209 0.5× 97 0.5× 226 1.3× 166 1.3× 108 1.1× 26 583
Mei Zheng United States 19 487 1.1× 525 2.5× 197 1.2× 114 0.9× 77 0.8× 30 1.3k

Countries citing papers authored by Chia-Chun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Chun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Chun 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 Chia-Chun Chang. The network helps show where Chia-Chun Chang may publish in the future.

Co-authorship network of co-authors of Chia-Chun Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Chun Chang. A scholar is included among the top collaborators of Chia-Chun 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 Chia-Chun Chang. Chia-Chun Chang 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.
Chang, Chia-Chun, et al.. (2024). Cytotoxicity effect and transcriptome analysis of PCV3-infected cells revealed potential viral pathogenic mechanisms. Microbial Pathogenesis. 192. 106715–106715. 1 indexed citations
2.
Chang, Chia-Chun, et al.. (2024). Recurrent Gastric Cancer Initially Presenting with Dysphagia induced by Idiopathic Inflammatory Myositis: A Case Report. SHILAP Revista de lepidopterología. 11(4). 141–143.
3.
Chang, Chia-Chun, Ching‐Ying Wu, Yi‐Chen Wang, et al.. (2023). Exploring the surface epitope and nuclear localization analysis of porcine circovirus type 3 capsid protein. AMB Express. 13(1). 141–141. 5 indexed citations
4.
Peng, Min, Chia-Chun Chang, Luan Wen, et al.. (2023). ZSCAN4 interacts with PARP1 to promote DNA repair in mouse embryonic stem cells. Cell & Bioscience. 13(1). 193–193. 4 indexed citations
5.
Lin, Tzu‐Ying, Min Peng, Chia-Chun Chang, et al.. (2022). Survival Motor Neuron Enhances Pluripotent Gene Expression and Facilitates Cell Reprogramming. Stem Cells and Development. 31(21-22). 696–705. 2 indexed citations
6.
Chang, Chia-Chun, et al.. (2020). Multimodal Retrieval through Relations between Subjects and Objects in Lifelog Images. 51–55. 13 indexed citations
7.
Chang, Chia-Chun, et al.. (2020). Detection and phylogenetic analysis of porcine circovirus type 3 in Taiwan. Archives of Virology. 166(1). 259–263. 9 indexed citations
8.
Chang, Chia-Chun, et al.. (2020). Histone acetyltransferase p300 mediates the upregulation of CTEN induced by the activation of EGFR signaling in cancer cells. Biochemical and Biophysical Research Communications. 534. 53–58. 5 indexed citations
9.
10.
Tsai, Yuan‐Yu, et al.. (2018). An Effective Authentication Algorithm for Polygonal Models with High Embedding Capacity. Symmetry. 10(7). 290–290.
11.
Tsai, Yuan‐Yu, et al.. (2018). An improved region-based tampered detection algorithm for 3D polygonal models. 2018 IEEE International Conference on Applied System Invention (ICASI). 5. 1163–1166. 1 indexed citations
12.
Ho, Chaang-Iuan, et al.. (2014). Exploring Key Determinants of Gamer Behavior for Somatosensory Video Games: An Application of the Extended Technology Acceptance Model and Game Flow Theory. 4 indexed citations
13.
Her, Yung‐Chiun & Chia-Chun Chang. (2014). Facile synthesis of one-dimensional crystalline/amorphous tungsten oxide core/shell heterostructures with balanced electrochromic properties. CrystEngComm. 16(24). 5379–5386. 62 indexed citations
14.
Chao, Yee, Kun‐Huei Yeh, Chia-Chun Chang, et al.. (2004). Phase II study of weekly oxaliplatin and 24-h infusion of high-dose 5-fluorouracil and folinic acid in the treatment of advanced gastric cancer. British Journal of Cancer. 91(3). 453–458. 62 indexed citations
15.
Wang, Jaw‐Lin, et al.. (2004). THE FORCE ATTENUATION EFFECT OF FOAM MATTRESS IN SIMULATED SIDEWAYS FALL OF HIP ON LEVEL SURFACE. Biomedical Engineering Applications Basis and Communications. 16(5). 265–271. 1 indexed citations
16.
Chang, Chia-Chun, Anne Wright, & Juha Punnonen. (2000). Monocyte-Derived CD1a+ and CD1a− Dendritic Cell Subsets Differ in Their Cytokine Production Profiles, Susceptibilities to Transfection, and Capacities to Direct Th Cell Differentiation. The Journal of Immunology. 165(7). 3584–3591. 125 indexed citations
17.
Chang, Chia-Chun, Brett Cox, Glenn Dawes, et al.. (1999). Evolution of a cytokine using DNA family shuffling. Nature Biotechnology. 17(8). 793–797. 104 indexed citations
18.
Aversa, Gregorio, José M. Carballido, Juha Punnonen, et al.. (1997). SLAM and its role in T cell activation and Th cell responses. Immunology and Cell Biology. 75(2). 202–205. 91 indexed citations
19.
Cocks, Benjamin G., et al.. (1995). A novel receptor involved in T-cell activation. Nature. 376(6537). 260–263. 413 indexed citations
20.
Kindy, Mark S., Chia-Chun Chang, & Gail E. Sonenshein. (1988). Serum deprivation of vascular smooth muscle cells enhances collagen gene expression.. Journal of Biological Chemistry. 263(23). 11426–11430. 52 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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