Theresa Mo

1.6k total citations
33 papers, 1.2k citations indexed

About

Theresa Mo is a scholar working on Virology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Theresa Mo has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Virology, 23 papers in Infectious Diseases and 12 papers in Epidemiology. Recurrent topics in Theresa Mo's work include HIV Research and Treatment (28 papers), HIV/AIDS drug development and treatment (21 papers) and HIV/AIDS Research and Interventions (16 papers). Theresa Mo is often cited by papers focused on HIV Research and Treatment (28 papers), HIV/AIDS drug development and treatment (21 papers) and HIV/AIDS Research and Interventions (16 papers). Theresa Mo collaborates with scholars based in Canada, United States and Germany. Theresa Mo's co-authors include P. Richard Harrigan, Winnie Dong, Julio Montaner, Zabrina L. Brumme, Chanson J. Brumme, Brian Wynhoven, Robert S. Hogg, Benita Yip, Conan K. Woods and Hernán Valdez and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Theresa Mo

33 papers receiving 1.2k citations

Peers

Theresa Mo
Theresa Mo
Citations per year, relative to Theresa Mo Theresa Mo (= 1×) peers Roger LeBlanc

Countries citing papers authored by Theresa Mo

Since Specialization
Citations

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

Fields of papers citing papers by Theresa Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theresa Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Theresa Mo. A scholar is included among the top collaborators of Theresa Mo 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 Theresa Mo. Theresa Mo 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.
Liang, Richard, Theresa Mo, Winnie Dong, et al.. (2014). Theoretical and experimental assessment of degenerate primer tagging in ultra-deep applications of next-generation sequencing. Nucleic Acids Research. 42(12). e98–e98. 25 indexed citations
2.
Swenson, Luke C., Winnie Dong, Theresa Mo, et al.. (2013). Use of Cellular HIV DNA to Predict Virologic Response to Maraviroc: Performance of Population-Based and Deep Sequencing. Clinical Infectious Diseases. 56(11). 1659–1666. 24 indexed citations
3.
Le, Anh Q., et al.. (2012). HLA class I sequence-based typing using DNA recovered from frozen plasma. Journal of Immunological Methods. 382(1-2). 40–47. 21 indexed citations
4.
Swenson, Luke C., Theresa Mo, Winnie Dong, et al.. (2011). Deep V3 Sequencing for HIV Type 1 Tropism in Treatment-Naive Patients: A Reanalysis of the MERIT Trial of Maraviroc. Clinical Infectious Diseases. 53(7). 732–742. 79 indexed citations
5.
Poon, Art F. Y., Theresa Mo, David J. H. F. Knapp, et al.. (2011). Dates of HIV infection can be estimated for seroprevalent patients by coalescent analysis of serial next-generation sequencing data. AIDS. 25(16). 2019–2026. 23 indexed citations
6.
Swenson, Luke C., Brian Wynhoven, Theresa Mo, et al.. (2011). “Dynamic Range” of Inferred Phenotypic HIV Drug Resistance Values in Clinical Practice. PLoS ONE. 6(2). e17402–e17402. 3 indexed citations
7.
Harrigan, P. Richard, et al.. (2007). A 21-Base Pair Insertion/Duplication at Codon 69 of the HIV Type 1 Reverse Transcriptase in a Patient Undergoing Multiple Nucleoside Therapy. AIDS Research and Human Retroviruses. 23(7). 895–899. 4 indexed citations
8.
Brumme, Zabrina L., Chanson J. Brumme, David Heckerman, et al.. (2007). Evidence of Differential HLA Class I-Mediated Viral Evolution in Functional and Accessory/Regulatory Genes of HIV-1. PLoS Pathogens. 3(7). e94–e94. 129 indexed citations
9.
Brumme, Zabrina L., Chanson J. Brumme, Celia Chui, et al.. (2007). Effects of Human Leukocyte Antigen Class I Genetic Parameters on Clinical Outcomes and Survival after Initiation of Highly Active Antiretroviral Therapy. The Journal of Infectious Diseases. 195(11). 1694–1704. 25 indexed citations
10.
Chui, Celia, Peter K. Cheung, Chanson J. Brumme, et al.. (2006). Short Communication: HIV VprR77Q Mutation Does Not Influence Clinical Response of Individuals Initiating Highly Active Antiretroviral Therapy. AIDS Research and Human Retroviruses. 22(7). 615–618. 12 indexed citations
11.
Harrigan, P. Richard, Christopher H. Sherlock, Urs P. Steinbrecher, et al.. (2006). Utilization of a Liver Allograft from a Hepatitis B Surface Antigen Positive Donor. Transplantation. 81(1). 129–131. 15 indexed citations
12.
Wood, Evan, Robert S. Hogg, Benita Yip, et al.. (2005). Rates of antiretroviral resistance among HIV-infected patients with and without a history of injection drug use. AIDS. 19(11). 1189–1195. 41 indexed citations
13.
Harrigan, P. Richard, Theresa Mo, Brian Wynhoven, et al.. (2005). Rare mutations at codon 103 of HIV-1 reverse transcriptase can confer resistance to non-nucleoside reverse transcriptase inhibitors. AIDS. 19(6). 549–554. 34 indexed citations
14.
Harrigan, P. Richard, Robert S. Hogg, Winnie Dong, et al.. (2005). Predictors of HIV Drug‐Resistance Mutations in a Large Antiretroviral‐Naive Cohort Initiating Triple Antiretroviral Therapy. The Journal of Infectious Diseases. 191(3). 339–347. 348 indexed citations
15.
Cassol, Sharon, et al.. (2003). Diagnosis and Direct Automated Sequencing of HIV-1 From Dried Blood Spots (DBS) Collected on Filter Paper. Humana Press eBooks. 17. 125–138. 3 indexed citations
16.
Brumme, Zabrina L., Keith Chan, Winnie Dong, et al.. (2002). No association between GB virus-C viremia and virological or immunological failure after starting initial antiretroviral therapy. AIDS. 16(14). 1929–1933. 31 indexed citations
17.
Alexander, Christopher S., Winnie Dong, Keith Chan, et al.. (2001). HIV protease and reverse transcriptase variation and therapy outcome in antiretroviral-naive individuals from a large North American cohort. AIDS. 15(5). 601–607. 43 indexed citations
18.
Montaner, Julio, Theresa Mo, Janet Raboud, et al.. (2000). Human Immunodeficiency Virus–Infected Persons with Mutations Conferring Resistance to Zidovudine Show Reduced Virologic Responses to Hydroxyurea and Stavudine‐Lamivudine. The Journal of Infectious Diseases. 181(2). 729–732. 28 indexed citations
19.
Alexander, Christopher S., Winnie Dong, Martin T. Schechter, et al.. (1999). Prevalence of primary HIV drug resistance among seroconverters during an explosive outbreak of HIV infection among injecting drug users. AIDS. 13(8). 981–985. 46 indexed citations
20.
Mo, Theresa, et al.. (1991). Antibody to Hepatitis C Virus in Risk Groups in Canada. Canadian Journal of Infectious Diseases and Medical Microbiology. 3(1). 27–29. 15 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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