Dennison Chan

533 total citations
10 papers, 289 citations indexed

About

Dennison Chan is a scholar working on Virology, Infectious Diseases and Immunology. According to data from OpenAlex, Dennison Chan has authored 10 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Virology, 4 papers in Infectious Diseases and 4 papers in Immunology. Recurrent topics in Dennison Chan's work include HIV Research and Treatment (7 papers), HIV/AIDS drug development and treatment (4 papers) and Immune Cell Function and Interaction (3 papers). Dennison Chan is often cited by papers focused on HIV Research and Treatment (7 papers), HIV/AIDS drug development and treatment (4 papers) and Immune Cell Function and Interaction (3 papers). Dennison Chan collaborates with scholars based in Canada, United States and Germany. Dennison Chan's co-authors include P. Richard Harrigan, Winnie Dong, Andrew Low, Mark A. Jensen, Ronald Swanstrom, Tobias Sing, Satish K. Pillai, Benjamin M. Good, Gregory Hammond and Luke C. Swenson and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Dennison Chan

9 papers receiving 284 citations

Peers

Dennison Chan
Vasudha Sundaravaradan United States
Dalma Vödrös Sweden
Benjamin N. Greener United States
Jordyn Manucci United States
Katharina Skrabal France
Gabrielle Gendron‐Lepage Canada
Robyn A. Biti Australia
Fangping Cai United States
Erin A. Goecker United States
Ángela Ibáñez Spain
Vasudha Sundaravaradan United States
Dennison Chan
Citations per year, relative to Dennison Chan Dennison Chan (= 1×) peers Vasudha Sundaravaradan

Countries citing papers authored by Dennison Chan

Since Specialization
Citations

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

Fields of papers citing papers by Dennison Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennison Chan

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

All Works

10 of 10 papers shown
1.
Brumme, Zabrina L., Chanson J. Brumme, Jonathan M. Carlson, et al.. (2016). HLA-specific polymorphisms in HIV-1 Gag and their association with viral load in chronic untreated infection.
2.
Knapp, David J. H. F., Art F. Y. Poon, Xiaoyin Zhong, et al.. (2014). “Deep” Sequencing Accuracy and Reproducibility Using Roche/454 Technology for Inferring Co-Receptor Usage in HIV-1. PLoS ONE. 9(6). e99508–e99508. 8 indexed citations
3.
Swenson, Luke C., Celia Chui, Chanson J. Brumme, et al.. (2013). Genotypic Analysis of the V3 Region of HIV from Virologic Nonresponders to Maraviroc-Containing Regimens Reveals Distinct Patterns of Failure. Antimicrobial Agents and Chemotherapy. 57(12). 6122–6130. 15 indexed citations
4.
Swenson, Luke C., Andrew Low, Alexander Thielen, et al.. (2010). Improved Detection of CXCR4-Using HIV by V3 Genotyping: Application of Population-Based and “Deep” Sequencing to Plasma RNA and Proviral DNA. JAIDS Journal of Acquired Immune Deficiency Syndromes. 54(5). 506–510. 66 indexed citations
5.
Brumme, Chanson J., Winnie Dong, Dennison Chan, et al.. (2010). Short‐term variation of HIV tropism readouts in the absence of CCR5 antagonists. Journal of the International AIDS Society. 13(S4). 1 indexed citations
6.
Brumme, Zabrina L., Chanson J. Brumme, Jonathan M. Carlson, et al.. (2008). Human leukocyte antigen-specific polymorphisms in HIV-1 Gag and their association with viral load in chronic untreated infection. AIDS. 22(11). 1277–1286. 55 indexed citations
7.
Thielen, Alexander, Winnie Dong, Andrew Low, et al.. (2008). Improved Detection of X4 Virus by V3 Genotyping: Application to Plasma RNA and Proviral DNA. Max Planck Institute for Plasma Physics. 5 indexed citations
8.
Low, Andrew, Winnie Dong, Dennison Chan, et al.. (2007). Current V3 genotyping algorithms are inadequate for predicting X4 co-receptor usage in clinical isolates. AIDS. 21(14). F17–F24. 119 indexed citations
9.
Ho, Stephen, et al.. (1996). Usefulness of measurement of serum viral DNA using dot-blot hybridization and polymerase chain reaction in renal transplant patients with hepatitis B-positive viral infection.. PubMed. 28(3). 1493–4. 1 indexed citations
10.
Chan, Dennison & Gregory Hammond. (1985). Comparison of serodiagnosis of group B coxsackievirus infections by an immunoglobulin M capture enzyme immunoassay versus microneutralization. Journal of Clinical Microbiology. 21(5). 830–834. 19 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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2026