Cheryl L. Day

9.9k total citations
67 papers, 4.1k citations indexed

About

Cheryl L. Day is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Cheryl L. Day has authored 67 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Immunology, 34 papers in Infectious Diseases and 29 papers in Epidemiology. Recurrent topics in Cheryl L. Day's work include Tuberculosis Research and Epidemiology (32 papers), Immune Cell Function and Interaction (27 papers) and T-cell and B-cell Immunology (21 papers). Cheryl L. Day is often cited by papers focused on Tuberculosis Research and Epidemiology (32 papers), Immune Cell Function and Interaction (27 papers) and T-cell and B-cell Immunology (21 papers). Cheryl L. Day collaborates with scholars based in United States, South Africa and United Kingdom. Cheryl L. Day's co-authors include Bruce D. Walker, Paul Klenerman, Georg M. Lauer, Raymond T. Chung, Michaela Lucas, Willem A. Hanekom, Gregory K. Robbins, Deborah Casson, Gillian Harcourt and Marwou de Kock and has published in prestigious journals such as Science, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Cheryl L. Day

65 papers receiving 4.0k citations

Peers

Cheryl L. Day
Alberto Moreno United States
Cindy Christopherson United States
Chris Ibegbu United States
Henri Agut France
David M. Asmuth United States
Cheryl L. Day
Citations per year, relative to Cheryl L. Day Cheryl L. Day (= 1×) peers Margaret Chen

Countries citing papers authored by Cheryl L. Day

Since Specialization
Citations

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

Fields of papers citing papers by Cheryl L. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheryl L. Day. 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 Cheryl L. Day. The network helps show where Cheryl L. Day may publish in the future.

Co-authorship network of co-authors of Cheryl L. Day

This figure shows the co-authorship network connecting the top 25 collaborators of Cheryl L. Day. A scholar is included among the top collaborators of Cheryl L. Day 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 Cheryl L. Day. Cheryl L. Day 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.
Kempker, Russell R., Argita D. Salindri, Hardy Kornfeld, et al.. (2025). High rates of post-tuberculosis lung disease among persons successfully treated for drug-susceptible and resistant tuberculosis. Thorax. 81(2). 170–178. 1 indexed citations
2.
Day, Cheryl L., Irene Njuguna, Lisa M. Cranmer, et al.. (2024). Patterns and Cofactors of Polyfunctional Mycobacteria-Specific T-Cell Response Restoration Following 6-Month Antiretroviral Treatment in Children With HIV. The Journal of Infectious Diseases. 231(4). 957–966.
3.
Sharan, Riti, Shashank Ganatra, Dhiraj Kumar Singh, et al.. (2022). Isoniazid and rifapentine treatment effectively reduces persistent M. tuberculosis infection in macaque lungs. Journal of Clinical Investigation. 132(18). 10 indexed citations
4.
Somanna, Naveen K, Thomas Rowe, Simon O. Owino, et al.. (2022). Ferrets as a model for tuberculosis transmission. Frontiers in Cellular and Infection Microbiology. 12. 873416–873416. 4 indexed citations
5.
Cizmeci, Deniz, Edward B. Irvine, Wonyeong Jung, et al.. (2022). Defining Discriminatory Antibody Fingerprints in Active and Latent Tuberculosis. Frontiers in Immunology. 13. 856906–856906. 18 indexed citations
6.
Campbell, Angela, et al.. (2020). Adults from Kisumu, Kenya have robust γδ T cell responses to Schistosoma mansoni, which are modulated by tuberculosis. PLoS neglected tropical diseases. 14(10). e0008764–e0008764. 2 indexed citations
7.
Magee, Matthew J., et al.. (2020). Adults with Mycobacterium tuberculosis infection and pre-diabetes have increased levels of QuantiFERON interferon-gamma responses. Tuberculosis. 122. 101935–101935. 11 indexed citations
8.
Campbell, Angela, et al.. (2020). CD4 T Cells in Mycobacterium tuberculosis and Schistosoma mansoni Co-infected Individuals Maintain Functional TH1 Responses. Frontiers in Immunology. 11. 127–127. 17 indexed citations
9.
Auld, Sara C., Scott Lee, Eleanor S. Click, et al.. (2016). IFN-γ Release Assay Result Is Associated with Disease Site and Death in Active Tuberculosis. Annals of the American Thoracic Society. 13(12). 2151–2158. 8 indexed citations
10.
Kagina, Benjamin M., Anne Wajja, Samuel Kirimunda, et al.. (2013). Distinct T-Cell Responses When BCG Vaccination Is Delayed From Birth to 6 Weeks of Age in Ugandan Infants. The Journal of Infectious Diseases. 209(6). 887–897. 24 indexed citations
11.
Kasprowicz, Victoria, Pamla Govender, Kuan‐Hsiang Gary Huang, et al.. (2011). A Molecular Assay for Sensitive Detection of Pathogen-Specific T-Cells. PLoS ONE. 6(8). e20606–e20606. 27 indexed citations
12.
Kalsdorf, Barbara, Thomas J. Scriba, Kathryn J. Wood, et al.. (2009). HIV-1 Infection Impairs the Bronchoalveolar T-Cell Response to Mycobacteria. American Journal of Respiratory and Critical Care Medicine. 180(12). 1262–1270. 115 indexed citations
13.
Leslie, Alasdair, David A. Price, Karen Bishop, et al.. (2006). Differential selection pressure exerted on HIV by CTL targeting identical epitopes but restricted by distinct HLA alleles from the same HLA supertype. (vol 177, pg 4699, 2006). The Journal of Immunology. 177. 8878–8878. 1 indexed citations
14.
Honeyborne, Isobella, Almas Rathod, Rico Buchli, et al.. (2006). Motif Inference Reveals Optimal CTL Epitopes Presented by HLA Class I Alleles Highly Prevalent in Southern Africa. The Journal of Immunology. 176(8). 4699–4705. 12 indexed citations
15.
Leslie, Alasdair, David A. Price, Karen Bishop, et al.. (2006). Differential Selection Pressure Exerted on HIV by CTL Targeting Identical Epitopes but Restricted by Distinct HLA Alleles from the Same HLA Supertype. The Journal of Immunology. 177(7). 4699–4708. 68 indexed citations
16.
Lauer, Georg M., Michaela Lucas, Jörg Timm, et al.. (2005). Full-Breadth Analysis of CD8 + T-Cell Responses in Acute Hepatitis C Virus Infection and Early Therapy. Journal of Virology. 79(20). 12979–12988. 85 indexed citations
17.
Scriba, Thomas J., Marco A. Purbhoo, Cheryl L. Day, et al.. (2005). Ultrasensitive Detection and Phenotyping of CD4+ T Cells with Optimized HLA Class II Tetramer Staining. The Journal of Immunology. 175(10). 6334–6343. 74 indexed citations
18.
Scriba, Thomas J., Helen Brown, Annette Oxenius, et al.. (2005). HIV-1–specific CD4+ T lymphocyte turnover and activation increase upon viral rebound. Journal of Clinical Investigation. 115(2). 443–450. 44 indexed citations
19.
Lauer, Georg M., Eleanor Barnes, Michaela Lucas, et al.. (2004). High resolution analysis of cellular immune responses in resolved and persistent hepatitis C virus infection. Gastroenterology. 127(3). 924–936. 241 indexed citations
20.
Day, Cheryl L., Nilufer P. Seth, Michaela Lucas, et al.. (2003). Ex vivo analysis of human memory CD4 T cells specific for hepatitis C virus using MHC class II tetramers. Journal of Clinical Investigation. 112(6). 831–842. 222 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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