Yung‐Nien Chang

1.5k total citations · 1 hit paper
19 papers, 1.2k citations indexed

About

Yung‐Nien Chang is a scholar working on Epidemiology, Genetics and Immunology. According to data from OpenAlex, Yung‐Nien Chang has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Genetics and 7 papers in Immunology. Recurrent topics in Yung‐Nien Chang's work include Virus-based gene therapy research (7 papers), Cervical Cancer and HPV Research (6 papers) and Immunotherapy and Immune Responses (6 papers). Yung‐Nien Chang is often cited by papers focused on Virus-based gene therapy research (7 papers), Cervical Cancer and HPV Research (6 papers) and Immunotherapy and Immune Responses (6 papers). Yung‐Nien Chang collaborates with scholars based in United States, Taiwan and China. Yung‐Nien Chang's co-authors include Ya‐Wen Chiang, Qing Lin, Martha C. Bohn, Beverly L. Davidson, DL Choi-Lundberg, H. Mohajeri, Carl Hay, Tim Schallert, Kuan‐Teh Jeang and Gerard J. McGarrity and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Virology.

In The Last Decade

Yung‐Nien Chang

19 papers receiving 1.2k citations

Hit Papers

Dopaminergic Neurons Protected from Degeneration by GDNF ... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yung‐Nien Chang United States 15 553 517 392 205 171 19 1.2k
S. Kaye Spratt United States 12 797 1.4× 349 0.7× 767 2.0× 83 0.4× 61 0.4× 12 1.2k
Shoushu Jiao United States 16 630 1.1× 520 1.0× 404 1.0× 48 0.2× 219 1.3× 19 1.3k
Véronique Proux‐Gillardeaux France 21 922 1.7× 321 0.6× 120 0.3× 151 0.7× 65 0.4× 25 1.6k
Curtis M. Chan United States 7 990 1.8× 219 0.4× 717 1.8× 108 0.5× 47 0.3× 10 1.5k
Petros Hantzopoulos United States 15 779 1.4× 532 1.0× 346 0.9× 135 0.7× 230 1.3× 18 1.4k
Ché Serguera France 16 630 1.1× 153 0.3× 427 1.1× 76 0.4× 102 0.6× 29 1.1k
Arto Immonen Finland 13 403 0.7× 213 0.4× 442 1.1× 97 0.5× 32 0.2× 26 960
Paul Carmillo United States 15 497 0.9× 242 0.5× 220 0.6× 74 0.4× 132 0.8× 16 1.1k
Michael J. Hansen United States 15 810 1.5× 396 0.8× 254 0.6× 113 0.6× 130 0.8× 46 1.8k
Inês Martins United States 15 2.3k 4.1× 895 1.7× 1.2k 3.1× 243 1.2× 70 0.4× 18 2.8k

Countries citing papers authored by Yung‐Nien Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yung‐Nien Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yung‐Nien Chang

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

All Works

19 of 19 papers shown
1.
Peng, Shiwen, Michelle Y. Cheng, Hua‐Ling Tsai, et al.. (2023). Immune responses, therapeutic anti-tumor effects, and tolerability upon therapeutic HPV16/18 E6/E7 DNA vaccination via needle-free biojector. mBio. 14(5). e0212123–e0212123. 4 indexed citations
3.
Lin, Yi-Hsin, Rosie Jiang, Andrew Yang, et al.. (2018). Integration of Oncogenes via Sleeping Beauty as a Mouse Model of HPV16+ Oral Tumors and Immunologic Control. Cancer Immunology Research. 6(3). 305–319. 14 indexed citations
4.
Jiang, Rosie, Joshua W. Wang, Shiwen Peng, et al.. (2017). Spontaneous and Vaccine-Induced Clearance of Mus Musculus Papillomavirus 1 Infection. Journal of Virology. 91(15). 25 indexed citations
5.
6.
Song, Liwen, Jayne Knoff, Liangmei He, et al.. (2014). Toll-like Receptor Agonist Imiquimod Facilitates Antigen-Specific CD8+ T-cell Accumulation in the Genital Tract Leading to Tumor Control through IFNγ. Clinical Cancer Research. 20(21). 5456–5467. 50 indexed citations
7.
Barrera, Daniel J., Julian N. Rosenberg, Yung‐Nien Chang, et al.. (2014). Algal chloroplast produced camelid VHH antitoxins are capable of neutralizing botulinum neurotoxin. Plant Biotechnology Journal. 13(1). 117–124. 35 indexed citations
8.
Peng, Shiwen, Liwen Song, Jayne Knoff, et al.. (2014). Control of HPV-associated tumors by innovative therapeutic HPV DNA vaccine in the absence of CD4+ T cells. Cell & Bioscience. 4(1). 11–11. 27 indexed citations
10.
Mosca, Joseph D., Yung‐Nien Chang, & Gregory Williams. (2007). Antigen-presenting particle technology using inactivated surface-engineered viruses: induction of immune responses against infectious agents. Retrovirology. 4(1). 32–32. 3 indexed citations
11.
Ni, Yajin, Susan Sun, Laurent Humeau, et al.. (2005). Generation of a packaging cell line for prolonged large‐scale production of high‐titer HIV‐1‐based lentiviral vector. The Journal of Gene Medicine. 7(6). 818–834. 59 indexed citations
12.
Lü, Xiaobin, Laurent Humeau, Vladimir Slepushkin, et al.. (2004). Safe two‐plasmid production for the first clinical lentivirus vector that achieves >99% transduction in primary cells using a one‐step protocol. The Journal of Gene Medicine. 6(9). 963–973. 58 indexed citations
13.
Wen, Zhi, Lin Yang, Yung‐Nien Chang, et al.. (2003). Intrathecal pertussis toxin induces thermal hyperalgesia: involvement of excitatory and inhibitory amino acids. Neuroscience. 116(3). 871–878. 21 indexed citations
14.
Omori, Fusayuki, Tarja Juopperi, Yung‐Nien Chang, et al.. (1999). Retroviral-Mediated Transfer and Expression of the Multidrug Resistance Protein 1 Gene (MRP1) Protect Human Hematopoietic Cells from Antineoplastic Drugs. Journal of Hematotherapy & Stem Cell Research. 8(5). 503–514. 7 indexed citations
15.
Choi-Lundberg, DL, Qing Lin, Tim Schallert, et al.. (1998). Behavioral and Cellular Protection of Rat Dopaminergic Neurons by an Adenoviral Vector Encoding Glial Cell Line-Derived Neurotrophic Factor. Experimental Neurology. 154(2). 261–275. 157 indexed citations
16.
Choi-Lundberg, DL, Qing Lin, Yung‐Nien Chang, et al.. (1997). Dopaminergic Neurons Protected from Degeneration by GDNF Gene Therapy. Science. 275(5301). 838–841. 523 indexed citations breakdown →
17.
Chang, Yung‐Nien, Kuan-Teh Jeang, Tom Lietman, & Gary S. Hayward. (1995). Structural organization of the spliced immediate-early gene complex that encodes the major acidic nuclear (IE1) and transactivator (IE2) proteins of african green monkey cytomegalovirus. Journal of Biomedical Science. 2(2). 105–130. 25 indexed citations
18.
Chang, Yung‐Nien, et al.. (1995). Effect of Herpes Simplex Virus Thymidine Kinase Expression Levels on Ganciclovir-Mediated Cytotoxicity and the “Bystander Effect”. Human Gene Therapy. 6(11). 1467–1476. 77 indexed citations
19.
Chang, Yung‐Nien & Kuan‐Teh Jeang. (1992). The basic RNA-binding domain of HIV-2 Tat contributes to preferential trans-activation of a TAR2-containing LTR. Nucleic Acids Research. 20(20). 5465–5472. 30 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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