De‐chu C. Tang

3.1k total citations · 1 hit paper
37 papers, 2.4k citations indexed

About

De‐chu C. Tang is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, De‐chu C. Tang has authored 37 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 19 papers in Molecular Biology and 13 papers in Epidemiology. Recurrent topics in De‐chu C. Tang's work include Virus-based gene therapy research (20 papers), Viral gastroenteritis research and epidemiology (9 papers) and Influenza Virus Research Studies (9 papers). De‐chu C. Tang is often cited by papers focused on Virus-based gene therapy research (20 papers), Viral gastroenteritis research and epidemiology (9 papers) and Influenza Virus Research Studies (9 papers). De‐chu C. Tang collaborates with scholars based in United States, France and Japan. De‐chu C. Tang's co-authors include Stephen Albert Johnston, Michael J. DeVit, Kent R. Van Kampen, Zhongkai Shi, Haroldo Toro, Craig A. Elmets, Kristine E. Kamm, Jianfeng Zhang, David L. Suarez and K. Wade Foster and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

De‐chu C. Tang

35 papers receiving 2.3k citations

Hit Papers

Genetic immunization is a... 1992 2026 2003 2014 1992 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
De‐chu C. Tang United States 21 1.0k 931 629 592 559 37 2.4k
Ke-Qin Xin Japan 31 938 0.9× 1.2k 1.3× 977 1.6× 423 0.7× 554 1.0× 59 2.8k
Philippe Saudan Switzerland 29 1.2k 1.2× 1.8k 1.9× 595 0.9× 520 0.9× 435 0.8× 43 3.8k
Douglas Martinez United States 9 1.1k 1.1× 1.6k 1.7× 1.1k 1.8× 504 0.9× 590 1.1× 12 3.1k
Shigeharu Ueda Japan 30 837 0.8× 700 0.8× 1.2k 1.9× 453 0.8× 607 1.1× 137 2.9k
Kathleen M. Brasky United States 34 798 0.8× 865 0.9× 2.0k 3.2× 378 0.6× 992 1.8× 73 4.1k
Kristina Eriksson Sweden 22 604 0.6× 1.1k 1.2× 512 0.8× 217 0.4× 281 0.5× 39 2.1k
Arthur Friedman United States 19 1.4k 1.4× 2.2k 2.3× 1.4k 2.3× 554 0.9× 766 1.4× 29 3.8k
Michele A. Kutzler United States 25 871 0.9× 1.3k 1.4× 583 0.9× 174 0.3× 688 1.2× 61 2.5k
Maria E. Baca‐Estrada Canada 23 538 0.5× 585 0.6× 320 0.5× 309 0.5× 271 0.5× 48 1.5k
Eric A. Weaver United States 25 967 1.0× 499 0.5× 572 0.9× 740 1.3× 564 1.0× 68 2.0k

Countries citing papers authored by De‐chu C. Tang

Since Specialization
Citations

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

Fields of papers citing papers by De‐chu C. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De‐chu C. Tang. 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 De‐chu C. Tang. The network helps show where De‐chu C. Tang may publish in the future.

Co-authorship network of co-authors of De‐chu C. Tang

This figure shows the co-authorship network connecting the top 25 collaborators of De‐chu C. Tang. A scholar is included among the top collaborators of De‐chu C. Tang 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 De‐chu C. Tang. De‐chu C. Tang 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.
2.
Tang, De‐chu C. & Huan Huu Nguyen. (2014). The Yin–Yang arms of vaccines: disease-fighting power versus tissue-destructive inflammation. Expert Review of Vaccines. 13(3). 417–427. 9 indexed citations
3.
Tang, De‐chu C.. (2014). A trail blazed through DNA vaccine, noninvasive vaccine, and innate-adaptive immunity duo. Human Vaccines & Immunotherapeutics. 10(8). 2143–2146.
4.
Zhang, Jianfeng, E. Bart Tarbet, Haroldo Toro, & De‐chu C. Tang. (2011). Adenovirus-vectored drug–vaccine duo as a potential driver for conferring mass protection against infectious diseases. Expert Review of Vaccines. 10(11). 1539–1552. 15 indexed citations
5.
Zhang, Jianfeng, et al.. (2011). Adenovirus-Vectored Drug-Vaccine Duo as a Rapid-Response Tool for Conferring Seamless Protection against Influenza. PLoS ONE. 6(7). e22605–e22605. 18 indexed citations
7.
Tang, De‐chu C., et al.. (2011). Avian Influenza Adenovirus-VectoredIn OvoVaccination: Target Embryo Tissues and Combination with Marek's Disease Vaccine. Avian Diseases. 55(4). 667–673. 7 indexed citations
8.
Toro, H. & De‐chu C. Tang. (2009). Protection of chickens against avian influenza with nonreplicating adenovirus-vectored vaccine. Poultry Science. 88(4). 867–871. 19 indexed citations
9.
Ginkel, Frederik W. van, et al.. (2008). Induction of mucosal immunity in the avian Harderian gland with a replication-deficient Ad5 vector expressing avian influenza H5 hemagglutinin. Developmental & Comparative Immunology. 33(1). 28–34. 29 indexed citations
10.
Toro, Haroldo, De‐chu C. Tang, David L. Suarez, Jianfeng Zhang, & Zhongkai Shi. (2008). Protection of chickens against avian influenza with non-replicating adenovirus-vectored vaccine. Vaccine. 26(21). 2640–2646. 51 indexed citations
11.
Kim, Hong‐Duck, Kazuki Tahara, Jill Maxwell, et al.. (2007). Nasal inoculation of an adenovirus vector encoding 11 tandem repeats of Aβ1‐6 upregulates IL‐10 expression and reduces amyloid load in a Mo/Hu APPswe PS1dE9 mouse model of Alzheimer's disease. The Journal of Gene Medicine. 9(2). 88–98. 40 indexed citations
12.
Avakian, A P, et al.. (2007). Automated mass immunization of poultry: the prospect for nonreplicating human adenovirus-vectoredin ovovaccines. Expert Review of Vaccines. 6(3). 457–465. 20 indexed citations
13.
Kampen, Kent R. Van, Zhongkai Shi, Peng Gao, et al.. (2004). Safety and immunogenicity of adenovirus-vectored nasal and epicutaneous influenza vaccines in humans. Vaccine. 23(8). 1029–1036. 177 indexed citations
14.
Shi, Zhongkai, et al.. (1999). DNA-based non-invasive vaccination onto the skin. Vaccine. 17(17). 2136–2141. 69 indexed citations
15.
Dion, Ludivine, Kelly Goldsmith, De‐chu C. Tang, et al.. (1997). Amplification of Recombinant Adenoviral Transgene Products Occurs by Inhibition of Histone Deacetylase. Virology. 231(2). 201–209. 55 indexed citations
16.
Tang, De‐chu C., R. Jennelle, Zhongkai Shi, et al.. (1997). Overexpression of Adenovirus-Encoded Transgenes from the Cytomegalovirus Immediate Early Promoter in Irradiated Tumor Cells. Human Gene Therapy. 8(17). 2117–2124. 28 indexed citations
17.
Johnston, Stephen Albert & De‐chu C. Tang. (1994). Chapter 17 Gene Gun Transfection of Animal Cells and Genetic Immunization. Methods in cell biology. 43 Pt A. 353–365. 57 indexed citations
18.
Tang, De‐chu C. & David P. Carbone. (1993). Potential application of gene therapy to lung cancer.. PubMed. 20(4). 368–73. 5 indexed citations
19.
Johnston, Stephen Albert & De‐chu C. Tang. (1993). The Use of Microparticle Injection to Introduce Genes into Animal Cells In Vitro and In Vivo. PubMed. 15. 225–236. 23 indexed citations
20.
Tang, De‐chu C., Michael J. DeVit, & Stephen Albert Johnston. (1992). Genetic immunization is a simple method for eliciting an immune response. Nature. 356(6365). 152–154. 1199 indexed citations breakdown →

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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