Thomas J. Scriba

20.4k total citations · 3 hit papers
206 papers, 9.2k citations indexed

About

Thomas J. Scriba is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, Thomas J. Scriba has authored 206 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Infectious Diseases, 116 papers in Immunology and 92 papers in Epidemiology. Recurrent topics in Thomas J. Scriba's work include Tuberculosis Research and Epidemiology (130 papers), Mycobacterium research and diagnosis (58 papers) and Immunodeficiency and Autoimmune Disorders (53 papers). Thomas J. Scriba is often cited by papers focused on Tuberculosis Research and Epidemiology (130 papers), Mycobacterium research and diagnosis (58 papers) and Immunodeficiency and Autoimmune Disorders (53 papers). Thomas J. Scriba collaborates with scholars based in South Africa, United States and United Kingdom. Thomas J. Scriba's co-authors include Willem A. Hanekom, Mark Hatherill, Gregory Hussey, Hassan Mahomed, Gerhard Walzl, Michèle Tameris, Helen McShane, Mark M. Davis, Huang Huang and Sebastian Gelderbloem and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

Thomas J. Scriba

198 papers receiving 9.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Safety and efficacy of MVA85A, a new tuberculosis vaccine, in infants previously vaccinated with BCG: a randomised, placebo-controlled phase 2b trial

2013 753 citations Michèle Tameris, Mark Hatherill et al. profile →
Identifying specificity groups in the T cell receptor repertoire

2017 595 citations Huang Huang, Florian Rubelt et al. profile →
Immunological biomarkers of tuberculosis

2011 390 citations Gerhard Walzl, Willem A. Hanekom et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas J. Scriba South Africa	50	5.6k	5.2k	3.5k	1.9k	1.2k	206	9.2k
W. Henry Boom United States	62	6.9k 1.2×	5.2k 1.0×	5.3k 1.5×	2.1k 1.1×	1.7k 1.4×	213	11.1k
David Lewinsohn United States	55	4.5k 0.8×	4.6k 0.9×	4.4k 1.2×	1.5k 0.8×	1.6k 1.3×	151	9.5k
Samuel M. Behar United States	59	5.0k 0.9×	7.8k 1.5×	3.8k 1.1×	2.3k 1.2×	1.1k 0.9×	127	11.8k
Shabaana A. Khader United States	49	4.5k 0.8×	6.0k 1.2×	3.6k 1.0×	1.8k 0.9×	939 0.8×	117	10.1k
Philana Ling Lin United States	45	5.4k 1.0×	2.1k 0.4×	4.5k 1.3×	1.3k 0.7×	1.9k 1.6×	108	7.6k
Padmini Salgame United States	47	2.9k 0.5×	3.1k 0.6×	2.4k 0.7×	1.2k 0.6×	882 0.7×	142	6.9k
Carl G. Feng Australia	49	3.2k 0.6×	5.5k 1.1×	3.0k 0.9×	1.5k 0.7×	711 0.6×	100	8.7k
Peter A. Sieling United States	45	2.2k 0.4×	5.3k 1.0×	2.5k 0.7×	1.7k 0.9×	779 0.6×	84	8.9k
John Chan United States	52	7.4k 1.3×	4.6k 0.9×	5.8k 1.6×	2.0k 1.0×	2.6k 2.2×	122	12.6k
Mengji Lu Germany	49	2.6k 0.5×	2.5k 0.5×	5.3k 1.5×	2.2k 1.2×	318 0.3×	319	9.7k

Countries citing papers authored by Thomas J. Scriba

Since Specialization

Citations

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

Fields of papers citing papers by Thomas J. Scriba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J. Scriba. 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 Thomas J. Scriba. The network helps show where Thomas J. Scriba may publish in the future.

Co-authorship network of co-authors of Thomas J. Scriba

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

All Works

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20 of 20 papers shown

Vidal, Samuel J., Ninaad Lasrado, Lisa H. Tostanoski, et al.. (2025). Mining the CD4 antigen repertoire for next-generation tuberculosis vaccines. Cell. 188(24). 6791–6803.e13. 1 indexed citations

Toefy, Asma, et al.. (2024). OMIP‐101: 27‐color flow cytometry panel for immunophenotyping of major leukocyte populations in fixed whole blood. Cytometry Part A. 105(3). 165–170. 3 indexed citations

Satti, Iman, Andrew White, Karin Dijkman, et al.. (2024). Mtb-Specific HLA-E-Restricted T Cells Are Induced during Mtb Infection but Not after BCG Administration in Non-Human Primates and Humans. Vaccines. 12(10). 1129–1129. 2 indexed citations

Clark, Rebecca A., Tom Sumner, Chathika K. Weerasuriya, et al.. (2024). Estimating the Potential Public Health Value of BCG Revaccination. The Journal of Infectious Diseases. 230(1). e139–e143. 2 indexed citations

Khan, Nabeela, Akul Singhania, Ferran Soldevila, et al.. (2023). Single-cell profiling reveals distinct subsets of CD14+ monocytes drive blood immune signatures of active tuberculosis. Frontiers in Immunology. 13. 1087010–1087010. 12 indexed citations

Murphy, Melissa, Sara Suliman, Hadn Africa, et al.. (2023). Newborn bacille Calmette-Guérin vaccination induces robust infant interferon-γ-expressing natural killer cell responses to mycobacteria. International Journal of Infectious Diseases. 130. S52–S62. 5 indexed citations

Thirunavukkarasu, Shyamala, Mushtaq Ahmed, Bruce A. Rosa, et al.. (2023). Poly(ADP-ribose) polymerase 9 mediates early protection against Mycobacterium tuberculosis infection by regulating type I IFN production. Journal of Clinical Investigation. 133(12). 12 indexed citations

Kuan, Rebecca, Elizabeth J. Phillips, S. Mallal, et al.. (2022). Expression of specific HLA class II alleles is associated with an increased risk for active tuberculosis and a distinct gene expression profile. HLA. 101(2). 124–137. 10 indexed citations

Scriba, Thomas J., Martin Kidd, Simon C. Mendelsohn, et al.. (2022). Utility of a three-gene transcriptomic signature in the diagnosis of tuberculosis in a low-endemic hospital setting. Infectious Diseases. 55(1). 44–54. 2 indexed citations

10.

Mendelsohn, Simon C., Stanley Kimbung Mbandi, Andrew Fioré-Gartland, et al.. (2022). Prospective multicentre head-to-head validation of host blood transcriptomic biomarkers for pulmonary tuberculosis by real-time PCR. SHILAP Revista de lepidopterología. 2(1). 20 indexed citations

11.

Meier, Stuart, James A. Seddon, Elizna Maasdorp, et al.. (2022). Neutrophil degranulation, NETosis and platelet degranulation pathway genes are co-induced in whole blood up to six months before tuberculosis diagnosis. PLoS ONE. 17(12). e0278295–e0278295. 8 indexed citations

12.

Barman, Soumik, Damien B. Wilburn, Krystle K. Q. Yu, et al.. (2021). T Cells Specific for a Mycobacterial Glycolipid Expand after Intravenous Bacillus Calmette–Guérin Vaccination. The Journal of Immunology. 206(6). 1240–1250. 16 indexed citations

13.

Ahmed, Mushtaq, Shyamala Thirunavukkarasu, Bruce A. Rosa, et al.. (2020). Immune correlates of tuberculosis disease and risk translate across species. Science Translational Medicine. 12(528). 45 indexed citations

14.

Huang, Huang, Chunlin Wang, Florian Rubelt, Thomas J. Scriba, & Mark M. Davis. (2020). Analyzing the Mycobacterium tuberculosis immune response by T-cell receptor clustering with GLIPH2 and genome-wide antigen screening. Nature Biotechnology. 38(10). 1194–1202. 242 indexed citations

15.

Suliman, Sara, Melissa Murphy, Munyaradzi Musvosvi, et al.. (2019). MR1-Independent Activation of Human Mucosal-Associated Invariant T Cells by Mycobacteria. The Journal of Immunology. 203(11). 2917–2927. 47 indexed citations

16.

Mulenga, Humphrey, Stanley Kimbung Mbandi, Simon C. Mendelsohn, et al.. (2019). Performance of host blood transcriptomic signatures for diagnosing and predicting progression to tuberculosis disease in HIV-negative adults and adolescents: a systematic review protocol. BMJ Open. 9(5). e026612–e026612. 5 indexed citations

17.

Suliman, Sara, Angelique Kany Kany Luabeya, Hennie Geldenhuys, et al.. (2018). Dose Optimization of H56:IC31 Vaccine for Tuberculosis-Endemic Populations. A Double-Blind, Placebo-controlled, Dose-Selection Trial. American Journal of Respiratory and Critical Care Medicine. 199(2). 220–231. 76 indexed citations

18.

Fioré-Gartland, Andrew, Lindsay N. Carpp, Kogieleum Naidoo, et al.. (2017). Considerations for biomarker-targeted intervention strategies for tuberculosis disease prevention. Tuberculosis. 109. 61–68. 19 indexed citations

19.

Nemes, Elisa, A C Hesseling, Michèle Tameris, et al.. (2017). Safety and Immunogenicity of Newborn MVA85A Vaccination and Selective, Delayed Bacille Calmette-Guerin (BCG) for Infants of HIV Infected Mothers: A Phase 2 Randomized Controlled Trial.. Clinical Infectious Diseases. 1 indexed citations

20.

Suliman, Sara, Hennie Geldenhuys, John L. Johnson, et al.. (2016). Bacillus Calmette–Guérin (BCG) Revaccination of Adults with Latent Mycobacterium tuberculosis Infection Induces Long-Lived BCG-Reactive NK Cell Responses. The Journal of Immunology. 197(4). 1100–1110. 106 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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