Che‐Chang Chang

2.1k total citations
43 papers, 1.6k citations indexed

About

Che‐Chang Chang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Che‐Chang Chang has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Immunology. Recurrent topics in Che‐Chang Chang's work include Ubiquitin and proteasome pathways (11 papers), Glycosylation and Glycoproteins Research (4 papers) and Nanoplatforms for cancer theranostics (4 papers). Che‐Chang Chang is often cited by papers focused on Ubiquitin and proteasome pathways (11 papers), Glycosylation and Glycoproteins Research (4 papers) and Nanoplatforms for cancer theranostics (4 papers). Che‐Chang Chang collaborates with scholars based in Taiwan, United States and Vietnam. Che‐Chang Chang's co-authors include Hsiu-Ming Shih, Yen‐Sung Huang, Ding-Yen Lin, Chun-Chen Ho, Gerd G. Maul, Tsung‐Rong Kuo, Ruey‐Hwa Chen, Kun-Sang Chang, Sibidou Yougbaré and Ting-Ting Chao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Che‐Chang Chang

42 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Che‐Chang Chang Taiwan 20 1.1k 349 242 219 167 43 1.6k
Debaditya Mukhopadhyay United States 20 1.2k 1.0× 434 1.2× 303 1.3× 138 0.6× 137 0.8× 29 1.7k
Rebecca Voltan Italy 23 780 0.7× 337 1.0× 298 1.2× 182 0.8× 92 0.6× 64 1.6k
Xiuxia Zhou China 28 845 0.7× 392 1.1× 284 1.2× 205 0.9× 329 2.0× 55 2.1k
Mark Castanares United States 17 1.0k 0.9× 291 0.8× 228 0.9× 200 0.9× 66 0.4× 31 1.7k
Jenny Ho Australia 23 619 0.5× 201 0.6× 116 0.5× 87 0.4× 169 1.0× 49 1.3k
Lei Wei China 21 785 0.7× 274 0.8× 465 1.9× 313 1.4× 79 0.5× 67 2.0k
Guang‐Hong Tan China 21 525 0.5× 183 0.5× 249 1.0× 161 0.7× 60 0.4× 66 1.1k
Suet‐Mien Tan Singapore 23 806 0.7× 129 0.4× 622 2.6× 245 1.1× 208 1.2× 66 2.1k
Chaojun Song China 22 637 0.6× 201 0.6× 448 1.9× 125 0.6× 113 0.7× 81 1.4k

Countries citing papers authored by Che‐Chang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Che‐Chang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Che‐Chang Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Che‐Chang Chang. A scholar is included among the top collaborators of Che‐Chang 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 Che‐Chang Chang. Che‐Chang 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.
Wu, Kuo-Sheng, Wei-Chung Allen Lee, Yu‐Ling Lin, et al.. (2024). RRM2 inhibition alters cell cycle through ATM/Rb/E2F1 pathway in atypical teratoid rhabdoid tumor. Neoplasia. 58. 101075–101075. 1 indexed citations
2.
Yang, Tsan-Tzu, Che‐Chang Chang, Shih‐Wen Huang, et al.. (2023). SENP2 restrains the generation of pathogenic Th17 cells in mouse models of colitis. Communications Biology. 6(1). 629–629. 6 indexed citations
3.
4.
Mutalik, Chinmaya, Hung‐Lung Chou, I‐Hsin Lin, et al.. (2022). Phase-Dependent 1T/2H-MoS2 Nanosheets for Effective Photothermal Killing of Bacteria. ACS Sustainable Chemistry & Engineering. 10(27). 8949–8957. 65 indexed citations
5.
Huang, Jiun‐Yan, Chung‐Te Lee, Che‐Chang Chang, et al.. (2022). Expression of the AHPND Toxins PirAvp and PirBvp Is Regulated by Components of the Vibrio parahaemolyticus Quorum Sensing (QS) System. International Journal of Molecular Sciences. 23(5). 2889–2889. 19 indexed citations
6.
Yougbaré, Sibidou, et al.. (2021). Plasmonic Gold Nanoisland Film for Bacterial Theranostics. Nanomaterials. 11(11). 3139–3139. 13 indexed citations
7.
Kuo, Wen‐Ling, Che‐Chang Chang, Chih‐Jung Chen, et al.. (2021). Prognostic Significance of O-GlcNAc and PKM2 in Hormone Receptor-Positive and HER2-Nonenriched Breast Cancer. Diagnostics. 11(8). 1460–1460. 7 indexed citations
8.
Yougbaré, Sibidou, Chinmaya Mutalik, I‐Hsin Lin, et al.. (2021). Emerging Trends in Nanomaterials for Antibacterial Applications. International Journal of Nanomedicine. Volume 16. 5831–5867. 148 indexed citations
9.
Liang, Kung‐Hao, Che‐Chang Chang, Kuo-Sheng Wu, et al.. (2021). Notch signaling and natural killer cell infiltration in tumor tissues underlie medulloblastoma prognosis. Scientific Reports. 11(1). 23282–23282. 9 indexed citations
10.
Lee, Yi‐Ching, Chi‐Tai Yeh, Tsu‐Yi Chao, et al.. (2021). Genome-wide CRISPR/Cas9 knockout screening uncovers a novel inflammatory pathway critical for resistance to arginine-deprivation therapy. Theranostics. 11(8). 3624–3641. 17 indexed citations
11.
Cheng, Tsai-Mu, Rou Li, Yu‐Chieh Jill Kao, et al.. (2020). Synthesis and characterization of Gd-DTPA/fucoidan/peptide complex nanoparticle and in vitro magnetic resonance imaging of inflamed endothelial cells. Materials Science and Engineering C. 114. 111064–111064. 34 indexed citations
12.
Cheng, Ching‐Feng, Hui‐Chen Ku, Jing‐Jy Cheng, et al.. (2019). Adipocyte browning and resistance to obesity in mice is induced by expression of ATF3. Communications Biology. 2(1). 389–389. 48 indexed citations
13.
Cheng, Tsai-Mu, Hsueh-Liang Chu, Di‐Yan Wang, et al.. (2018). Quantitative Analysis of Glucose Metabolic Cleavage in Glucose Transporters Overexpressed Cancer Cells by Target-Specific Fluorescent Gold Nanoclusters. Analytical Chemistry. 90(6). 3974–3980. 37 indexed citations
14.
Chang, Yu-Sheng, Chih‐Hong Pan, Che‐Chang Chang, et al.. (2017). Low Levels of IgG Recognizing the α-1-Antitrypsin Peptide and Its Association with Taiwanese Women with Primary Sjögren’s Syndrome. International Journal of Molecular Sciences. 18(12). 2750–2750. 3 indexed citations
15.
Wu, Ming-Heng, Yuh-Ling Chen, Kuen‐Haur Lee, et al.. (2017). Glycosylation-dependent galectin-1/neuropilin-1 interactions promote liver fibrosis through activation of TGF-β- and PDGF-like signals in hepatic stellate cells. Scientific Reports. 7(1). 11006–11006. 50 indexed citations
16.
Wu, Chih‐Da, et al.. (2016). Gap Shape Classification using Landscape Indices and Multivariate Statistics. Scientific Reports. 6(1). 38217–38217. 8 indexed citations
17.
18.
Chang, Che‐Chang, Tae Ho Lee, Man‐Li Luo, et al.. (2013). SENP1 deSUMOylates and Regulates Pin1 Protein Activity and Cellular Function. Cancer Research. 73(13). 3951–3962. 73 indexed citations
19.
Naik, Mandar T., et al.. (2010). NMR chemical shift assignments of a complex between SUMO-1 and SIM peptide derived from the C-terminus of Daxx. Biomolecular NMR Assignments. 5(1). 75–77. 2 indexed citations
20.
Lin, Ding-Yen, Yen‐Sung Huang, Che‐Chang Chang, et al.. (2006). Role of SUMO-Interacting Motif in Daxx SUMO Modification, Subnuclear Localization, and Repression of Sumoylated Transcription Factors. Molecular Cell. 24(3). 341–354. 348 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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