Lynnett Stone

681 total citations
8 papers, 440 citations indexed

About

Lynnett Stone is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Lynnett Stone has authored 8 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Lynnett Stone's work include Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (6 papers) and Diagnosis and treatment of tuberculosis (2 papers). Lynnett Stone is often cited by papers focused on Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (6 papers) and Diagnosis and treatment of tuberculosis (2 papers). Lynnett Stone collaborates with scholars based in South Africa, United States and Canada. Lynnett Stone's co-authors include Willem A. Hanekom, Marwou de Kock, Deborah Abrahams, Cheryl L. Day, Keertan Dheda, Bernadette Pienaar, Hassan Mahomed, Gilla Kaplan, Michele van Rooyen and Gerhard Walzl and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Lynnett Stone

8 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lynnett Stone South Africa 7 355 278 199 121 45 8 440
Deborah Abrahams South Africa 8 501 1.4× 389 1.4× 222 1.1× 176 1.5× 52 1.2× 10 580
Howard Doo United States 6 272 0.8× 225 0.8× 183 0.9× 72 0.6× 55 1.2× 8 408
Damien Montamat‐Sicotte United Kingdom 9 240 0.7× 279 1.0× 330 1.7× 85 0.7× 53 1.2× 14 540
L. James Frye United States 8 355 1.0× 230 0.8× 78 0.4× 169 1.4× 59 1.3× 12 418
Tara Rutledge United States 6 409 1.2× 275 1.0× 194 1.0× 146 1.2× 61 1.4× 9 507
Sandra Kiazyk Canada 10 222 0.6× 141 0.5× 137 0.7× 78 0.6× 51 1.1× 16 359
Mary Nsereko Uganda 12 378 1.1× 293 1.1× 118 0.6× 104 0.9× 58 1.3× 27 445
LaShaunda L. Malone Uganda 12 425 1.2× 303 1.1× 166 0.8× 106 0.9× 77 1.7× 20 497
Laarni G. Villahermosa United States 11 404 1.1× 264 0.9× 76 0.4× 211 1.7× 34 0.8× 16 465
Béatrice Pédron France 11 213 0.6× 236 0.8× 143 0.7× 85 0.7× 19 0.4× 21 406

Countries citing papers authored by Lynnett Stone

Since Specialization
Citations

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

Fields of papers citing papers by Lynnett Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lynnett Stone

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

All Works

8 of 8 papers shown
1.
Baguma, Richard, Stanley Kimbung Mbandi, Mzwandile Erasmus, et al.. (2021). Inflammatory Determinants of Differential Tuberculosis Risk in Pre-Adolescent Children and Young Adults. Frontiers in Immunology. 12. 639965–639965. 11 indexed citations
2.
Day, Cheryl L., Deborah Abrahams, Lynnett Stone, et al.. (2018). PD-1 Expression on Mycobacterium tuberculosis-Specific CD4 T Cells Is Associated With Bacterial Load in Human Tuberculosis. Frontiers in Immunology. 9. 1995–1995. 61 indexed citations
3.
Baguma, Richard, Adam Penn‐Nicholson, Erica Smit, et al.. (2017). Application of a whole blood mycobacterial growth inhibition assay to study immunity against Mycobacterium tuberculosis in a high tuberculosis burden population. PLoS ONE. 12(9). e0184563–e0184563. 14 indexed citations
4.
Day, Cheryl L., Deborah Abrahams, Levelle D. Harris, et al.. (2017). HIV-1 Infection Is Associated with Depletion and Functional Impairment of Mycobacterium tuberculosis–Specific CD4 T Cells in Individuals with Latent Tuberculosis Infection. The Journal of Immunology. 199(6). 2069–2080. 41 indexed citations
5.
Shey, Muki, Elisa Nemes, Wendy Whatney, et al.. (2014). Maturation of Innate Responses to Mycobacteria over the First Nine Months of Life. The Journal of Immunology. 192(10). 4833–4843. 28 indexed citations
6.
Shey, Muki, E. Jane Hughes, Marwou de Kock, et al.. (2011). Optimization of a whole blood intracellular cytokine assay for measuring innate cell responses to mycobacteria. Journal of Immunological Methods. 376(1-2). 79–88. 12 indexed citations
7.
Day, Cheryl L., Deborah Abrahams, Lynnett Stone, et al.. (2011). Functional Capacity of Mycobacterium tuberculosis-Specific T Cell Responses in Humans Is Associated with Mycobacterial Load. The Journal of Immunology. 187(5). 2222–2232. 270 indexed citations
8.
Stone, Lynnett, et al.. (2008). Transgenic Cloned Mice Expressing Enhanced Green Fluorescent Protein Generated by Activation Stimuli Combined with 6‐dimethylaminopurine. Reproduction in Domestic Animals. 43(5). 547–555. 3 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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