Aaron Christensen-Quick

811 total citations
7 papers, 278 citations indexed

About

Aaron Christensen-Quick is a scholar working on Virology, Immunology and Epidemiology. According to data from OpenAlex, Aaron Christensen-Quick has authored 7 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Virology, 4 papers in Immunology and 2 papers in Epidemiology. Recurrent topics in Aaron Christensen-Quick's work include HIV Research and Treatment (5 papers), Cytomegalovirus and herpesvirus research (2 papers) and Antimicrobial Peptides and Activities (2 papers). Aaron Christensen-Quick is often cited by papers focused on HIV Research and Treatment (5 papers), Cytomegalovirus and herpesvirus research (2 papers) and Antimicrobial Peptides and Activities (2 papers). Aaron Christensen-Quick collaborates with scholars based in United States, Italy and Canada. Aaron Christensen-Quick's co-authors include Alfredo Garzino‐Demo, Sara Gianella, Brian Astry, Arian Laurence, Matthew B. Frieman, Kamal D. Moudgil, John J. O’Shea, Shivaprasad H. Venkatesha, Mark K. Lafferty and Lingling Sun and has published in prestigious journals such as The Journal of Immunology, Clinical Infectious Diseases and Journal of Virology.

In The Last Decade

Aaron Christensen-Quick

7 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron Christensen-Quick United States 6 84 82 75 70 66 7 278
Panadda Dhepakson Thailand 10 18 0.2× 65 0.8× 198 2.6× 47 0.7× 69 1.0× 15 366
Mehwish Younas France 10 216 2.6× 235 2.9× 101 1.3× 58 0.8× 4 0.1× 15 510
Verònica Alba Spain 12 118 1.4× 44 0.5× 61 0.8× 79 1.1× 2 0.0× 21 309
Santhamani Ramasamy United States 9 36 0.4× 82 1.0× 87 1.2× 126 1.8× 5 0.1× 25 418
Laura E. Martínez United States 8 29 0.3× 55 0.7× 89 1.2× 95 1.4× 4 0.1× 19 356
Steve Kamiza Malawi 14 21 0.3× 219 2.7× 51 0.7× 66 0.9× 6 0.1× 19 713
Alfred M. Prince United States 9 30 0.4× 20 0.2× 290 3.9× 52 0.7× 3 0.0× 9 434
Xiaozhi Lu United States 6 210 2.5× 140 1.7× 50 0.7× 88 1.3× 9 323
Pi‐Han Lin Taiwan 10 68 0.8× 25 0.3× 143 1.9× 53 0.8× 1 0.0× 15 327
Libera Sessa Italy 3 161 1.9× 58 0.7× 84 1.1× 86 1.2× 2 0.0× 3 370

Countries citing papers authored by Aaron Christensen-Quick

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Christensen-Quick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron Christensen-Quick. 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 Aaron Christensen-Quick. The network helps show where Aaron Christensen-Quick may publish in the future.

Co-authorship network of co-authors of Aaron Christensen-Quick

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

All Works

7 of 7 papers shown
1.
Christensen-Quick, Aaron, Marta Massanella, Stephen A. Rawlings, et al.. (2019). Subclinical Cytomegalovirus DNA Is Associated with CD4 T Cell Activation and Impaired CD8 T Cell CD107a Expression in People Living with HIV despite Early Antiretroviral Therapy. Journal of Virology. 93(13). 29 indexed citations
2.
Chaillon, Antoine, Masato Nakazawa, Christy M. Anderson, et al.. (2019). Effect of Cannabis Use on Human Immunodeficiency Virus DNA During Suppressive Antiretroviral Therapy. Clinical Infectious Diseases. 70(1). 140–143. 19 indexed citations
3.
Christensen-Quick, Aaron, Christophe Vanpouille, Andrea Lisco, & Sara Gianella. (2017). Cytomegalovirus and HIV Persistence: Pouring Gas on the Fire. AIDS Research and Human Retroviruses. 33(S1). S–23. 48 indexed citations
4.
Lafferty, Mark K., Lingling Sun, Aaron Christensen-Quick, Wuyuan Lu, & Alfredo Garzino‐Demo. (2017). Human Beta Defensin 2 Selectively Inhibits HIV-1 in Highly Permissive CCR6+CD4+ T Cells. Viruses. 9(5). 111–111. 25 indexed citations
5.
Christensen-Quick, Aaron, Mark K. Lafferty, Lingling Sun, et al.. (2016). Human T h 17 Cells Lack HIV-Inhibitory RNases and Are Highly Permissive to Productive HIV Infection. Journal of Virology. 90(17). 7833–7847. 48 indexed citations
6.
Astry, Brian, Shivaprasad H. Venkatesha, Arian Laurence, et al.. (2015). Celastrol, a Chinese herbal compound, controls autoimmune inflammation by altering the balance of pathogenic and regulatory T cells in the target organ. Clinical Immunology. 157(2). 228–238. 108 indexed citations
7.
Christensen-Quick, Aaron, Mark K. Lafferty, Marco Goicochea, & Alfredo Garzino‐Demo. (2013). β-defensins that bind CCR6: Blunting the permissiveness of Th17 cells to HIV infection (P4432). The Journal of Immunology. 190(Supplement_1). 206.4–206.4. 1 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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