Queenie Hu

580 total citations
17 papers, 236 citations indexed

About

Queenie Hu is a scholar working on Infectious Diseases, Molecular Biology and Aging. According to data from OpenAlex, Queenie Hu has authored 17 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 6 papers in Molecular Biology and 4 papers in Aging. Recurrent topics in Queenie Hu's work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (8 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Queenie Hu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (8 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Queenie Hu collaborates with scholars based in Canada, United States and Australia. Queenie Hu's co-authors include Terrance J. Kubiseski, Robert A. Screaton, Jillian L. Rourke, Albertha J.M. Walhout, Lesley T. MacNeil, Anne‐Claude Gingras, Reuben Samson, W. Rod Hardy, Matthew Ierullo and Victor H. Ferreira and has published in prestigious journals such as Nature Communications, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Queenie Hu

16 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Queenie Hu Canada 9 108 66 47 37 22 17 236
Tavis L. Mendez United States 11 61 0.6× 99 1.5× 8 0.2× 24 0.6× 12 0.5× 19 262
Alagar R Muthukumar United States 7 37 0.3× 39 0.6× 37 0.8× 31 0.8× 13 0.6× 13 299
Anna Calabrò Italy 10 33 0.3× 39 0.6× 18 0.4× 15 0.4× 4 0.2× 24 202
Katrine Graversen Denmark 6 36 0.3× 205 3.1× 7 0.1× 31 0.8× 6 0.3× 8 333
Iryna Kamyshna Ukraine 11 88 0.8× 158 2.4× 2 0.0× 57 1.5× 52 2.4× 42 351
Emma L. Davies United Kingdom 7 28 0.3× 215 3.3× 6 0.1× 9 0.2× 9 0.4× 10 284
Ava Hosseini United States 7 15 0.1× 106 1.6× 6 0.1× 22 0.6× 11 0.5× 18 195
Eman R. M. Hofny Egypt 7 42 0.4× 42 0.6× 30 0.8× 53 2.4× 18 432
Qiongmei Gao China 6 15 0.1× 139 2.1× 4 0.1× 14 0.4× 30 1.4× 8 189
Theresa Streidl Germany 2 26 0.2× 153 2.3× 2 0.0× 24 0.6× 13 0.6× 2 218

Countries citing papers authored by Queenie Hu

Since Specialization
Citations

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

Fields of papers citing papers by Queenie Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Queenie Hu

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

All Works

17 of 17 papers shown
1.
Ferreira, Victor H., Queenie Hu, Matthew Ierullo, et al.. (2023). Impact of Omicron BA.1 infection on BA.4/5 immunity in transplant recipients. American Journal of Transplantation. 23(2). 278–283. 1 indexed citations
2.
Yau, Kevin, Queenie Hu, Adeera Levin, et al.. (2023). Omicron variant neutralizing antibodies following BNT162b2 BA.4/5 versus mRNA-1273 BA.1 bivalent vaccination in patients with end-stage kidney disease. Nature Communications. 14(1). 6041–6041. 5 indexed citations
3.
Martín‐Orozco, Natalia, Noah Vale, Lawrence T. Reiter, et al.. (2023). Phase I randomized, observer-blinded, placebo-controlled study of a SARS-CoV-2 mRNA vaccine PTX-COVID19-B. Scientific Reports. 13(1). 8557–8557. 5 indexed citations
4.
Yau, Kevin, Paul Tam, Christopher T. Chan, et al.. (2023). BNT162b2 versus mRNA-1273 Third Dose COVID-19 Vaccine in Patients with CKD and Maintenance Dialysis Patients. Clinical Journal of the American Society of Nephrology. 19(1). 85–97. 5 indexed citations
5.
Ferreira, Victor H., Matthew Ierullo, Queenie Hu, et al.. (2023). Omicron BA.4/5 Neutralization and T-Cell Responses in Organ Transplant Recipients After Booster Messenger RNA Vaccine: A Multicenter Cohort Study. Clinical Infectious Diseases. 77(2). 229–236. 9 indexed citations
6.
Lin, Yi-Chan, David H. Evans, Queenie Hu, et al.. (2022). Utilization of the Abbott SARS-CoV-2 IgG II Quant Assay To Identify High-Titer Anti-SARS-CoV-2 Neutralizing Plasma against Wild-Type and Variant SARS-CoV-2 Viruses. Microbiology Spectrum. 10(5). e0281122–e0281122. 7 indexed citations
7.
Ferreira, Victor H., Queenie Hu, Victoria Hall, et al.. (2022). Homotypic and heterotypic immune responses to Omicron variant in immunocompromised patients in diverse clinical settings. Nature Communications. 13(1). 4489–4489. 18 indexed citations
8.
Kumar, Deepali, Queenie Hu, Reuben Samson, et al.. (2022). Neutralization against Omicron variant in transplant recipients after three doses of mRNA vaccine. American Journal of Transplantation. 22(8). 2089–2093. 48 indexed citations
9.
McEvoy, Caitríona M., Queenie Hu, Kento T. Abe, et al.. (2022). Humoral Responses in the Omicron Era Following 3-Dose SARS-CoV-2 Vaccine Series in Kidney Transplant Recipients. Transplantation Direct. 9(1). e1401–e1401. 8 indexed citations
10.
Drews, Steven J., Queenie Hu, Reuben Samson, et al.. (2022). SARS-CoV-2 Virus-Like Particle Neutralizing Capacity in Blood Donors Depends on Serological Profile and Donor-Declared SARS-CoV-2 Vaccination History. Microbiology Spectrum. 10(1). e0226221–e0226221. 4 indexed citations
11.
Iorio, Caterina, Jillian L. Rourke, Jun-Ichi Sakamaki, et al.. (2021). Silencing the G-protein coupled receptor 3-salt inducible kinase 2 pathway promotes human β cell proliferation. Communications Biology. 4(1). 907–907. 11 indexed citations
12.
Drews, Steven J., Kento T. Abe, Queenie Hu, et al.. (2021). Resistance of SARS‐CoV‐2 beta and gamma variants to plasma collected from Canadian blood donors during the spring of 2020. Transfusion. 62(1). 37–43. 8 indexed citations
13.
Hu, Queenie, et al.. (2020). The SEM-4 Transcription Factor Is Required for Regulation of the Oxidative Stress Response in Caenorhabditis elegans. G3 Genes Genomes Genetics. 10(9). 3379–3385.
14.
Hu, Queenie, et al.. (2018). BRAP-2 promotes DNA damage induced germline apoptosis in C. elegans through the regulation of SKN-1 and AKT-1. Cell Death and Differentiation. 25(7). 1276–1288. 9 indexed citations
15.
Hu, Queenie, et al.. (2018). The Caenorhabditis elegans Oxidative Stress Response Requires the NHR-49 Transcription Factor. G3 Genes Genomes Genetics. 8(12). 3857–3863. 25 indexed citations
16.
Rourke, Jillian L., Queenie Hu, & Robert A. Screaton. (2017). AMPK and Friends: Central Regulators of β Cell Biology. Trends in Endocrinology and Metabolism. 29(2). 111–122. 36 indexed citations
17.
Hu, Queenie, et al.. (2017). The Oxidative Stress Response in Caenorhabditis elegans Requires the GATA Transcription Factor ELT-3 and SKN-1/Nrf2. Genetics. 206(4). 1909–1922. 37 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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