Que Dang

552 total citations
19 papers, 419 citations indexed

About

Que Dang is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Que Dang has authored 19 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 12 papers in Virology and 9 papers in Epidemiology. Recurrent topics in Que Dang's work include HIV Research and Treatment (12 papers), HIV/AIDS Research and Interventions (12 papers) and Cytomegalovirus and herpesvirus research (5 papers). Que Dang is often cited by papers focused on HIV Research and Treatment (12 papers), HIV/AIDS Research and Interventions (12 papers) and Cytomegalovirus and herpesvirus research (5 papers). Que Dang collaborates with scholars based in United States, United Kingdom and Spain. Que Dang's co-authors include Wei-Shau Hu, Vinay K. Pathak, Jianbo Chen, Douglas Powell, Frank Maldarelli, Derya Unutmaz, Vanessa M. Hirsch, Charles R. Brown, Ilnour Ourmanov and Yoshiaki Nishimura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and The Journal of Infectious Diseases.

In The Last Decade

Que Dang

19 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Que Dang United States 11 316 221 120 89 72 19 419
Joseph M. Gibbons United Kingdom 8 381 1.2× 359 1.6× 157 1.3× 147 1.7× 81 1.1× 12 616
José Luís Canales Muñoz Mexico 5 445 1.4× 374 1.7× 125 1.0× 89 1.0× 46 0.6× 10 535
Helen Fryer United Kingdom 10 521 1.6× 369 1.7× 154 1.3× 196 2.2× 125 1.7× 17 756
Penprapa Chanbancherd Thailand 9 192 0.6× 157 0.7× 103 0.9× 84 0.9× 44 0.6× 14 309
Kimdar Sherefa Kemal United States 9 297 0.9× 292 1.3× 81 0.7× 39 0.4× 53 0.7× 17 376
Darío Dilernia United States 12 354 1.1× 248 1.1× 81 0.7× 138 1.6× 82 1.1× 36 443
Shilpa S. Iyer United States 8 353 1.1× 179 0.8× 128 1.1× 229 2.6× 82 1.1× 12 468
Max Abou Canada 7 83 0.3× 101 0.5× 95 0.8× 87 1.0× 50 0.7× 9 315
Owen Wood United States 13 208 0.7× 297 1.3× 112 0.9× 129 1.4× 86 1.2× 26 525
Sarah Benki United States 8 107 0.3× 152 0.7× 153 1.3× 83 0.9× 24 0.3× 10 361

Countries citing papers authored by Que Dang

Since Specialization
Citations

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

Fields of papers citing papers by Que Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Que Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Que Dang. A scholar is included among the top collaborators of Que Dang 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 Que Dang. Que Dang 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.
Elmes, Jocelyn, Romain Silhol, Kristen L. Hess, et al.. (2020). Receptive anal sex contributes substantially to heterosexually acquired HIV infections among at‐risk women in twenty US cities: Results from a modelling analysis. American Journal of Reproductive Immunology. 84(2). e13263–e13263. 10 indexed citations
2.
Williams, Brett, Mimi Ghosh, Charles A. Boucher, et al.. (2020). A Summary of the Fourth Annual Virology Education HIV Microbiome Workshop. AIDS Research and Human Retroviruses. 36(5). 349–356. 3 indexed citations
3.
Baggaley, Rebecca F., Romain Silhol, Jocelyn Elmes, et al.. (2018). Does per‐act HIV‐1 transmission risk through anal sex vary by gender? An updated systematic review and meta‐analysis. American Journal of Reproductive Immunology. 80(5). e13039–e13039. 34 indexed citations
4.
Williams, Brett, Charles A. Boucher, Frederic D. Bushman, et al.. (2018). A Summary of the Third Annual HIV Microbiome Workshop. AIDS Research and Human Retroviruses. 34(10). 828–834. 1 indexed citations
5.
Baggaley, Rebecca F., Romain Silhol, Jocelyn Elmes, et al.. (2018). Per act HIV transmission risk through anal intercourse: An updated systematic review and meta-analysis. 34. 2 indexed citations
6.
Williams, Brett, Mimi Ghosh, Charles A. Boucher, et al.. (2017). A Summary of the Second Annual HIV Microbiome Workshop. AIDS Research and Human Retroviruses. 33(12). 1258–1264. 1 indexed citations
7.
Elmes, Jocelyn, Romain Silhol, Que Dang, et al.. (2017). How common and frequent is heterosexual anal intercourse among South Africans? A systematic review and meta‐analysis. Journal of the International AIDS Society. 20(1). 21162–21162. 16 indexed citations
8.
Williams, Brett, Paria Mirmonsef, Charles A. Boucher, et al.. (2016). A Summary of the First HIV Microbiome Workshop 2015. AIDS Research and Human Retroviruses. 32(10-11). 935–941. 6 indexed citations
10.
Matsuda, Kenta, Charles R. Brown, Brian Foley, et al.. (2013). Laser Capture Microdissection Assessment of Virus Compartmentalization in the Central Nervous Systems of Macaques Infected with Neurovirulent Simian Immunodeficiency Virus. Journal of Virology. 87(16). 8896–8908. 23 indexed citations
11.
Dang, Que, Sonya Whitted, Robert Goeken, et al.. (2012). Development of Neurological Disease Is Associated with Increased Immune Activation in Simian Immunodeficiency Virus-Infected Macaques. Journal of Virology. 86(24). 13795–13799. 12 indexed citations
12.
Kuwata, Takeo, Yoshiaki Nishimura, Sonya Whitted, et al.. (2009). Association of Progressive CD4+ T Cell Decline in SIV Infection with the Induction of Autoreactive Antibodies. PLoS Pathogens. 5(4). e1000372–e1000372. 34 indexed citations
13.
Dang, Que & Vanessa M. Hirsch. (2008). Rapid Disease Progression to AIDS due to Simian immunodeficiency virus Infection of Macaques: Host and Viral Factors. Advances in pharmacology. 56. 369–398. 3 indexed citations
14.
Dang, Que, Robert Goeken, Charles R. Brown, et al.. (2008). Adaptive Evolution of Simian Immunodeficiency Viruses Isolated from 2 Conventional‐Progressor Macaques with Encephalitis. The Journal of Infectious Diseases. 197(12). 1695–1700. 6 indexed citations
15.
Brown, Charles R., Meggan Czapiga, Juraj Kabát, et al.. (2007). Unique Pathology in Simian Immunodeficiency Virus-Infected Rapid Progressor Macaques Is Consistent with a Pathogenesis Distinct from That of Classical AIDS. Journal of Virology. 81(11). 5594–5606. 51 indexed citations
16.
Fu, William, Que Dang, Kunio Nagashima, et al.. (2006). Effects of Gag Mutation and Processing on Retroviral Dimeric RNA Maturation. Journal of Virology. 80(3). 1242–1249. 23 indexed citations
17.
Chen, Jianbo, Que Dang, Derya Unutmaz, et al.. (2005). Mechanisms of Nonrandom Human Immunodeficiency Virus Type 1 Infection and Double Infection: Preference in Virus Entry Is Important but Is Not the Sole Factor. Journal of Virology. 79(7). 4140–4149. 59 indexed citations
18.
Dang, Que, Jianbo Chen, Derya Unutmaz, et al.. (2004). Nonrandom HIV-1 infection and double infection via direct and cell-mediated pathways. Proceedings of the National Academy of Sciences. 101(2). 632–637. 84 indexed citations
19.
Dang, Que & Wei-Shau Hu. (2001). Effects of Homology Length in the Repeat Region on Minus-Strand DNA Transfer and Retroviral Replication. Journal of Virology. 75(2). 809–820. 34 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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