Deching Chang

2.0k total citations
71 papers, 1.7k citations indexed

About

Deching Chang is a scholar working on Oncology, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, Deching Chang has authored 71 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Oncology, 22 papers in Electrical and Electronic Engineering and 19 papers in Plant Science. Recurrent topics in Deching Chang's work include Polyomavirus and related diseases (56 papers), Plant Virus Research Studies (18 papers) and Full-Duplex Wireless Communications (17 papers). Deching Chang is often cited by papers focused on Polyomavirus and related diseases (56 papers), Plant Virus Research Studies (18 papers) and Full-Duplex Wireless Communications (17 papers). Deching Chang collaborates with scholars based in Taiwan, United States and Japan. Deching Chang's co-authors include Meilin Wang, Richard A. Consigli, Xiaoyin Cai, Cheng‐Huang Shen, Pei‐Lain Chen, John I. Haynes, Chiung‐Yao Fang, John Brady, Rong‐Tzong Tsai and Tzong‐Hsiung Hseu and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Deching Chang

70 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deching Chang Taiwan 26 1.0k 536 437 311 304 71 1.7k
G. Barbanti‐Brodano Italy 24 950 0.9× 406 0.8× 310 0.7× 45 0.1× 95 0.3× 57 1.6k
Connie Wong United States 19 525 0.5× 733 1.4× 133 0.3× 79 0.3× 97 0.3× 44 1.4k
Paolo Amati Italy 20 469 0.5× 727 1.4× 72 0.2× 315 1.0× 229 0.8× 57 1.3k
George C. Fareed United States 21 576 0.6× 1.0k 1.9× 53 0.1× 518 1.7× 229 0.8× 39 1.6k
K. Krasagakis Greece 27 634 0.6× 660 1.2× 125 0.3× 19 0.1× 72 0.2× 69 1.9k
Howard A. Anderson United States 12 214 0.2× 686 1.3× 30 0.1× 63 0.2× 65 0.2× 16 1.6k
Jianhong Cao United States 21 1000 1.0× 662 1.2× 33 0.1× 17 0.1× 73 0.2× 57 2.5k
Enrique Boccardo Brazil 24 319 0.3× 676 1.3× 34 0.1× 34 0.1× 37 0.1× 54 1.4k
B Otová Czechia 12 201 0.2× 259 0.5× 63 0.1× 15 0.0× 60 0.2× 50 675
J.M. Naeyaert Belgium 15 333 0.3× 128 0.2× 73 0.2× 9 0.0× 34 0.1× 22 977

Countries citing papers authored by Deching Chang

Since Specialization
Citations

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

Fields of papers citing papers by Deching Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deching Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Deching Chang. A scholar is included among the top collaborators of Deching 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 Deching Chang. Deching 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.
Lin, Yu‐Shih, Meilin Wang, Pei‐Lain Chen, et al.. (2023). Inhibition of orthotopic castration-resistant prostate cancer growth and metastasis in mice by JC VLPs carrying a suicide gene driven by the PSA promoter. Cancer Gene Therapy. 31(2). 250–258. 1 indexed citations
2.
Shen, Cheng‐Huang, Chiung‐Yao Fang, Pei‐Lain Chen, et al.. (2021). Suppression of bone metastatic castration-resistant prostate cancer cell growth by a suicide gene delivered by JC polyomavirus-like particles. Gene Therapy. 30(6). 534–537. 2 indexed citations
3.
Lin, Yu‐Shih, Ching‐Yuan Wu, Yao‐Hsu Yang, et al.. (2019). Danshen Improves Survival of Patients With Breast Cancer and Dihydroisotanshinone I Induces Ferroptosis and Apoptosis of Breast Cancer Cells. Frontiers in Pharmacology. 10. 1226–1226. 94 indexed citations
4.
5.
Lin, Yu‐Shih, Yao‐Hsu Yang, Chun‐Liang Lin, et al.. (2018). Antrodia cinnamomea extract inhibits the proliferation of tamoxifen-resistant breast cancer cells through apoptosis and skp2/microRNAs pathway. BMC Complementary and Alternative Medicine. 18(1). 152–152. 32 indexed citations
6.
Chen, San‐Yuan, Meilin Wang, Pei‐Lain Chen, et al.. (2017). Rhodiolae Kirliowii Radix et Rhizoma and Crataegus pinnatifida Fructus Extracts Effectively Inhibit BK Virus and JC Virus Infection of Host Cells. Evidence-based Complementary and Alternative Medicine. 2017(1). 5620867–5620867. 4 indexed citations
7.
Huang, Yih‐Leh, Chiung‐Yao Fang, Cheng‐Huang Shen, et al.. (2015). Inhibition of human diffuse large B-cell lymphoma growth by JC polyomavirus-like particles delivering a suicide gene. Journal of Translational Medicine. 13(1). 29–29. 11 indexed citations
8.
Fang, Chiung‐Yao, Cheng‐Huang Shen, Meilin Wang, et al.. (2015). Global profiling of histone modifications in the polyomavirus BK virion minichromosome. Virology. 483. 1–12. 10 indexed citations
9.
10.
Yeh, Chia‐Ming, et al.. (2013). Detection of human JCPyV and BKPyV in diffuse large B-cell lymphoma of the GI tract. European Journal of Clinical Microbiology & Infectious Diseases. 33(4). 665–672. 14 indexed citations
11.
Chang, Chi-Fang, Meilin Wang, Chiung‐Yao Fang, et al.. (2011). Analysis of DNA methylation in human BK virus. Virus Genes. 43(2). 201–207. 7 indexed citations
12.
Fang, Chiung‐Yao, Meilin Wang, Pei‐Lain Chen, et al.. (2010). Global analysis of modifications of the human BK virus structural proteins by LC-MS/MS. Virology. 402(1). 164–176. 31 indexed citations
13.
Lin, Chang-Te, Chin Li, Cheng‐Huang Shen, et al.. (2009). Dysfunction of natural killer cells in patients with transitional cell carcinoma. Cancer Letters. 291(1). 39–45. 6 indexed citations
14.
Lin, Paul Y., et al.. (2008). Prevalence and genotype identification of human JC virus in colon cancer in Taiwan. Journal of Medical Virology. 80(10). 1828–1834. 51 indexed citations
15.
Wen, Mei‐Chin, Kuo‐Hsiung Shu, Ming‐Ju Wu, et al.. (2007). Polyomavirus nephropathy in renal allograft: Prevalence and correlation of histology with graft failure. Nephrology. 12(6). 615–619. 6 indexed citations
16.
Wen, Mei‐Chin, Meilin Wang, Chi‐Hung Cheng, et al.. (2004). Association of JC virus with tubulointerstitial nephritis in a renal allograft recipient. Journal of Medical Virology. 72(4). 675–678. 58 indexed citations
17.
Huang, Yih‐Leh, et al.. (2003). Analysis of DNA-Binding Activity of the JC Virus Minor Capsid Protein VP2. Journal of NeuroVirology. 9(s1). 21–24. 6 indexed citations
18.
Tsai, Rong‐Tzong, et al.. (1997). Genomic cloning and sequence analysis of Taiwan-3 human polyomavirus JC virus.. PubMed. 96(7). 511–6. 26 indexed citations
19.
Chang, Deching, et al.. (1996). A simple method for detecting human polyomavirus DNA in urine by the polymerase chain reaction. Journal of Virological Methods. 58(1-2). 131–136. 8 indexed citations
20.
Chang, Deching, John I. Haynes, John Brady, & Richard A. Consigli. (1992). The use of additive and subtractive approaches to examine the nuclear localization sequence of the polyomavirus major capsid protein VP1. Virology. 189(2). 821–827. 45 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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