George Du

634 total citations
11 papers, 508 citations indexed

About

George Du is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, George Du has authored 11 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Immunology and 4 papers in Epidemiology. Recurrent topics in George Du's work include Tuberculosis Research and Epidemiology (8 papers), Immune Cell Function and Interaction (6 papers) and HIV Research and Treatment (3 papers). George Du is often cited by papers focused on Tuberculosis Research and Epidemiology (8 papers), Immune Cell Function and Interaction (6 papers) and HIV Research and Treatment (3 papers). George Du collaborates with scholars based in United States, China and Israel. George Du's co-authors include Yun Shen, Zheng W. Chen, Ling Shen, Norman L. Letvin, Liyou Qiu, Crystal Y. Chen, Richard Wang, Dan Huang, William R. Jacobs and Barton F. Haynes and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.

In The Last Decade

George Du

11 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Du United States 10 345 318 198 59 54 11 508
Damien Montamat‐Sicotte United Kingdom 9 330 1.0× 240 0.8× 279 1.4× 38 0.6× 53 1.0× 14 540
Howard Doo United States 6 183 0.5× 272 0.9× 225 1.1× 25 0.4× 55 1.0× 8 408
Lea Brandt Denmark 9 280 0.8× 268 0.8× 171 0.9× 78 1.3× 99 1.8× 10 417
Craig L. Fuller United States 9 284 0.8× 179 0.6× 146 0.7× 166 2.8× 59 1.1× 10 445
Rada Ellegård Sweden 14 275 0.8× 143 0.4× 143 0.7× 179 3.0× 75 1.4× 23 515
Bridget Vesosky United States 13 336 1.0× 375 1.2× 301 1.5× 14 0.2× 88 1.6× 16 604
María C. Sasiain Argentina 15 467 1.4× 384 1.2× 291 1.5× 18 0.3× 88 1.6× 22 720
Tara Rutledge United States 6 194 0.6× 409 1.3× 275 1.4× 32 0.5× 61 1.1× 9 507
Bonnie Phillips United States 7 182 0.5× 202 0.6× 109 0.6× 59 1.0× 35 0.6× 7 314
E. Jane Hughes South Africa 8 481 1.4× 512 1.6× 220 1.1× 15 0.3× 68 1.3× 10 666

Countries citing papers authored by George Du

Since Specialization
Citations

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

Fields of papers citing papers by George Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Du

This figure shows the co-authorship network connecting the top 25 collaborators of George Du. A scholar is included among the top collaborators of George Du 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 George Du. George Du 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.
Wang, Honglei, Yuchen Liang, Samantha Cheng, et al.. (2017). Bio-inspired nanostructures for enhanced light management. Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena. 35(6). 6 indexed citations
2.
Huang, Dan, Crystal Y. Chen, Meihong Zhang, et al.. (2012). Clonal Immune Responses of Mycobacterium-Specific γδ T Cells in Tuberculous and Non-Tuberculous Tissues during M. tuberculosis Infection. PLoS ONE. 7(2). e30631–e30631. 17 indexed citations
3.
Du, George, Crystal Y. Chen, Yun Shen, et al.. (2010). TCR Repertoire, Clonal Dominance, and Pulmonary Trafficking of Mycobacterium-Specific CD4+ and CD8+ T Effector Cells in Immunity Against Tuberculosis. The Journal of Immunology. 185(7). 3940–3947. 23 indexed citations
4.
Chen, Crystal Y., Dan Huang, Richard Wang, et al.. (2009). A Critical Role for CD8 T Cells in a Nonhuman Primate Model of Tuberculosis. PLoS Pathogens. 5(4). e1000392–e1000392. 218 indexed citations
5.
6.
Huang, Dan, Yun Shen, Liyou Qiu, et al.. (2007). Immune Distribution and Localization of Phosphoantigen-Specific Vγ2Vδ2 T Cells in Lymphoid and Nonlymphoid Tissues inMycobacterium tuberculosisInfection. Infection and Immunity. 76(1). 426–436. 50 indexed citations
7.
Huang, Dan, Liyou Qiu, Richard Wang, et al.. (2006). Immune Gene Networks of Mycobacterial Vaccine–Elicited Cellular Responses and Immunity. The Journal of Infectious Diseases. 195(1). 55–69. 28 indexed citations
8.
Du, George, Liyou Qiu, Ling Shen, et al.. (2005). Combined megaplex TCR isolation and SMART-based real-time quantitation methods for quantitating antigen-specific T cell clones in mycobacterial infection. Journal of Immunological Methods. 308(1-2). 19–35. 9 indexed citations
9.
10.
Shen, Yun, Ling Shen, Prabhat K. Sehgal, et al.. (2004). Clinical Latency and Reactivation of AIDS-Related Mycobacterial Infections. Journal of Virology. 78(24). 14023–14032. 34 indexed citations
11.
Zhou, D. J., Xiaomin Lai, Yun Shen, et al.. (2003). Inhibition of Adaptive Vγ2Vδ2+T-Cell Responses during Active Mycobacterial Coinfection of Simian Immunodeficiency Virus SIVmac-Infected Monkeys. Journal of Virology. 77(5). 2998–3006. 28 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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