Ning-Sun Yang

1.2k total citations
11 papers, 986 citations indexed

About

Ning-Sun Yang is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Ning-Sun Yang has authored 11 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Genetics. Recurrent topics in Ning-Sun Yang's work include Virus-based gene therapy research (4 papers), Immunotherapy and Immune Responses (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). Ning-Sun Yang is often cited by papers focused on Virus-based gene therapy research (4 papers), Immunotherapy and Immune Responses (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). Ning-Sun Yang collaborates with scholars based in Taiwan, United States and Germany. Ning-Sun Yang's co-authors include Chia-Chung Hou, Sheng‐Yang Wang, Lie‐Fen Shyur, Alexander L. Rakhmilevich, Pei‐Wen Hsiao, Yueh‐Hsiung Kuo, Jia-Tsrong Jan, Chih‐Jung Kuo, Shoei‐Sheng Lee and Ching‐Kuo Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Ning-Sun Yang

11 papers receiving 967 citations

Peers

Ning-Sun Yang
Yeh Chen Taiwan
Shih‐Chao Lin United States
Hwa Jung Choi South Korea
Yeh Chen Taiwan
Ning-Sun Yang
Citations per year, relative to Ning-Sun Yang Ning-Sun Yang (= 1×) peers Yeh Chen

Countries citing papers authored by Ning-Sun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ning-Sun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ning-Sun Yang. 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 Ning-Sun Yang. The network helps show where Ning-Sun Yang may publish in the future.

Co-authorship network of co-authors of Ning-Sun Yang

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

All Works

11 of 11 papers shown
1.
Efferth, Thomas, Yung‐Hsiang Chen, Chia-I Liu, et al.. (2016). Immunogenicity of mammary tumor cells can be induced by shikonin via direct binding-interference with hnRNPA1. Oncotarget. 7(28). 43629–43653. 23 indexed citations
2.
Chiu, Shao‐Chih, et al.. (2010). Differential functional genomic effects of anti-inflammatory phytocompounds on immune signaling. BMC Genomics. 11(1). 513–513. 23 indexed citations
3.
Hou, Chia-Chung, Chun‐Houh Chen, Ning-Sun Yang, et al.. (2009). Comparative metabolomics approach coupled with cell- and gene-based assays for species classification and anti-inflammatory bioactivity validation of Echinacea plants. The Journal of Nutritional Biochemistry. 21(11). 1045–1059. 43 indexed citations
4.
Chiu, Shao‐Chih & Ning-Sun Yang. (2007). Inhibition of Tumor Necrosis Factor-α through Selective Blockade of Pre-mRNA Splicing by Shikonin. Molecular Pharmacology. 71(6). 1640–1645. 48 indexed citations
5.
Hou, Chia-Chung, Yi‐Ping Chen, Jyh‐Horng Wu, et al.. (2007). A Galactolipid Possesses Novel Cancer Chemopreventive Effects by Suppressing Inflammatory Mediators and Mouse B16 Melanoma. Cancer Research. 67(14). 6907–6915. 67 indexed citations
6.
Kuo, Yueh‐Hsiung, Jia-Tsrong Jan, Po‐Huang Liang, et al.. (2007). Specific Plant Terpenoids and Lignoids Possess Potent Antiviral Activities against Severe Acute Respiratory Syndrome Coronavirus. Journal of Medicinal Chemistry. 50(17). 4087–4095. 458 indexed citations
7.
Rakhmilevich, Alexander L., et al.. (1999). Gene Gun-Mediated IL-12 Gene Therapy Induces Antitumor Effects in the Absence of Toxicity: A Direct Comparison With Systemic IL-12 Protein Therapy. Journal of Immunotherapy. 22(2). 135–144. 71 indexed citations
8.
Oshikawa, Katsuhisa, Fushun Shi, Alexander L. Rakhmilevich, et al.. (1999). Synergistic inhibition of tumor growth in a murine mammary adenocarcinoma model by combinational gene therapy using IL-12, pro-IL-18, and IL-1β converting enzyme cDNA. Proceedings of the National Academy of Sciences. 96(23). 13351–13356. 64 indexed citations
9.
Rakhmilevich, Alexander L., et al.. (1997). Cytokine Gene Therapy of Cancer Using Gene Gun Technology: Superior Antitumor Activity of Interleukin-12. Human Gene Therapy. 8(11). 1303–1311. 99 indexed citations
10.
Mahvi, David M., Joseph K. Burkholder, Joel G. Turner, et al.. (1996). Particle-Mediated Gene Transfer of Granulocyte-Macrophage Colony-Stimulating Factor cDNA to Tumor Cells: Implications for a Clinically Relevant Tumor Vaccine. Human Gene Therapy. 7(13). 1535–1543. 71 indexed citations
11.
Yang, Ning-Sun, Wenn H. Sun, & Dennis E. McCabe. (1996). Developing particle-mediated gene-transfer technology for research into gene therapy of cancer. Molecular Medicine Today. 2(11). 476–481. 19 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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