Li-Kwan Chang

850 total citations
30 papers, 722 citations indexed

About

Li-Kwan Chang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Li-Kwan Chang has authored 30 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Oncology and 7 papers in Immunology. Recurrent topics in Li-Kwan Chang's work include Viral-associated cancers and disorders (12 papers), Ubiquitin and proteasome pathways (6 papers) and Eosinophilic Disorders and Syndromes (5 papers). Li-Kwan Chang is often cited by papers focused on Viral-associated cancers and disorders (12 papers), Ubiquitin and proteasome pathways (6 papers) and Eosinophilic Disorders and Syndromes (5 papers). Li-Kwan Chang collaborates with scholars based in Taiwan, Luxembourg and Hungary. Li-Kwan Chang's co-authors include Shih‐Tung Liu, Tsuey-Pin Lin, Vikas P. Sukhatme, Loren Joseph, Shih‐Ying Chen, Wen‐Hung Wang, Chyi‐Liang Chen, Ya‐Fang Chiu, Johannes Scheng-Ming Tschen and Pin‐Der Duh and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Li-Kwan Chang

30 papers receiving 709 citations

Peers

Li-Kwan Chang

ONCOL

IMMUN

EPIDE

GENET

Shih‐Shun Chen Taiwan

Hong‐Jin Kim South Korea

Rebecca Köhler Germany

Tabasum Sidiq India

Huifang Hao China

Xiang Ding China

Jianhui Xie China

Gao‐Hong Zhang China

Chunmei Li China

Shih‐Shun Chen Taiwan

Li-Kwan Chang

446 ×1.3

106 ×0.6

ONCOL

192 ×1.4

IMMUN

84 ×0.8

EPIDE

36 ×0.4

GENET

Citations per year, relative to Li-Kwan Chang Li-Kwan Chang (= 1×) peers Shih‐Shun Chen

Countries citing papers authored by Li-Kwan Chang

Since Specialization

Citations

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

Fields of papers citing papers by Li-Kwan Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li-Kwan Chang

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

All Works

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20 of 20 papers shown

Wang, Shih‐Wei, et al.. (2024). Chemical constituents from a marine medicinal brown alga-derived Xylaria acuta SC1019. Journal of Food and Drug Analysis. 32(2). 161–173. 2 indexed citations

Chen, Chi‐Yuan, Yi-Wen Huang, Rei‐Lin Kuo, et al.. (2024). OTUB1 contributes to the stability and function of Influenza A virus NS2. PLoS Pathogens. 20(5). e1012279–e1012279. 3 indexed citations

Wang, Wen‐Hung, et al.. (2020). Rta is an Epstein-Barr virus tegument protein that improves the stability of capsid protein BORF1. Biochemical and Biophysical Research Communications. 523(3). 773–779. 3 indexed citations

Wang, Wen‐Hung, et al.. (2020). Expression of Rta in B Lymphocytes during Epstein–Barr Virus Latency. Journal of Molecular Biology. 432(19). 5227–5243. 3 indexed citations

Kúsz, Norbert, Sándor B. Ötvös, Ferenc Fülöp, et al.. (2019). Less Cytotoxic Protoflavones as Antiviral Agents: Protoapigenone 1′-O-isopropyl ether Shows Improved Selectivity Against the Epstein–Barr Virus Lytic Cycle. International Journal of Molecular Sciences. 20(24). 6269–6269. 8 indexed citations

Chen, Chien-Sin, et al.. (2017). TRIM5α Promotes Ubiquitination of Rta from Epstein–Barr Virus to Attenuate Lytic Progression. Frontiers in Microbiology. 7. 2129–2129. 16 indexed citations

Huang, Jiun‐Yan, I-Tung Chen, Li-Kwan Chang, et al.. (2017). Shrimp miR-10a Is Co-opted by White Spot Syndrome Virus to Increase Viral Gene Expression and Viral Replication. Frontiers in Immunology. 8. 1084–1084. 15 indexed citations

Lin, Ting‐Yu, et al.. (2014). MCAF1 and Rta-Activated BZLF1 Transcription in Epstein-Barr Virus. PLoS ONE. 9(3). e90698–e90698. 10 indexed citations

Yang, Ya-Chun & Li-Kwan Chang. (2013). Role of TAF4 in Transcriptional Activation by Rta of Epstein-Barr Virus. PLoS ONE. 8(1). e54075–e54075. 9 indexed citations

10.

Tsai, Catherine Jia‐Yun, et al.. (2010). Biochemical characterization of the small ubiquitin-like modifiers of Chlamydomonas reinhardtii. Planta. 232(3). 649–662. 7 indexed citations

11.

Wang, Wen‐Hung, Li-Kwan Chang, & Shih‐Tung Liu. (2010). Molecular Interactions of Epstein-Barr Virus Capsid Proteins. Journal of Virology. 85(4). 1615–1624. 21 indexed citations

12.

Lee, Yu‐Hsiu, Ya‐Fang Chiu, Wen‐Hung Wang, Li-Kwan Chang, & Shih‐Tung Liu. (2008). Activation of the ERK signal transduction pathway by Epstein–Barr virus immediate-early protein Rta. Journal of General Virology. 89(10). 2437–2446. 37 indexed citations

13.

Cheng, Tai-Shan, Ching‐Mei Hsu, Long‐Sen Chang, et al.. (2006). Characterization and Functional Aspects of Human Ninein Isoforms that Regulated by Centrosomal Targeting Signals and Evidence for Docking Sites to Direct Gamma-Tubulin. Cell Cycle. 5(21). 2517–2527. 24 indexed citations

14.

Chang, Yung-Fu, Chih‐Mei Cheng, Li-Kwan Chang, Yuh‐Jyh Jong, & Chung‐Yee Yuo. (2006). The F-box protein Fbxo7 interacts with human inhibitor of apoptosis protein cIAP1 and promotes cIAP1 ubiquitination. Biochemical and Biophysical Research Communications. 342(4). 1022–1026. 56 indexed citations

15.

Cheng, Tai-Shan, et al.. (2005). SUMO-1 modification of centrosomal protein hNinein promotes hNinein nuclear localization. Life Sciences. 78(10). 1114–1120. 20 indexed citations

16.

Hsu, Hui‐Chun, Tai-Shan Cheng, Shen‐Long Howng, et al.. (2005). Characterization of two non-testis-specific CABYR variants that bind to GSK3β with a proline-rich extensin-like domain. Biochemical and Biophysical Research Communications. 329(3). 1108–1117. 24 indexed citations

17.

Lin, Tsuey-Pin, Chyi‐Liang Chen, Cheng-Yeu Wu, et al.. (2005). Functional analysis of fengycin synthetase FenD. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1730(2). 159–164. 19 indexed citations

18.

Howng, Shen‐Long, Hui‐Chun Hsu, Tai-Shan Cheng, et al.. (2004). A novel ninein‐interaction protein, CGI‐99, blocks ninein phosphorylation by GSK3β and is highly expressed in brain tumors. FEBS Letters. 566(1-3). 162–168. 35 indexed citations

19.

Chen, Chyi‐Liang, Li-Kwan Chang, Yu‐Sun Chang, Shih‐Tung Liu, & Johannes Scheng-Ming Tschen. (1995). Transposon mutagenesis and cloning of the genes encoding the enzymes of fengycin biosynthesis inBacillus subtilis. Molecular and General Genetics MGG. 248(2). 121–125. 29 indexed citations

20.

Joseph, Loren, et al.. (1988). Complete nucleotide and deduced amino acid sequences of human and murine preprocathepsin L. An abundant transcript induced by transformation of fibroblasts.. Journal of Clinical Investigation. 81(5). 1621–1629. 122 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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