Stephen T. Reece

2.5k total citations · 1 hit paper
38 papers, 1.7k citations indexed

About

Stephen T. Reece is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Stephen T. Reece has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 20 papers in Epidemiology and 11 papers in Immunology. Recurrent topics in Stephen T. Reece's work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (13 papers) and Infectious Diseases and Tuberculosis (7 papers). Stephen T. Reece is often cited by papers focused on Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (13 papers) and Infectious Diseases and Tuberculosis (7 papers). Stephen T. Reece collaborates with scholars based in Germany, United Kingdom and United States. Stephen T. Reece's co-authors include Stefan H. E. Kaufmann, Anca Dorhoi, John S. Tregoning, Mario Perković, Ekaterina Kinnear, Kerstin C. Reuter, Tim Beißert, Stephanie Erbar, David C. Busse and Annette B. Vogel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Stephen T. Reece

37 papers receiving 1.7k 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.

Self-Amplifying RNA Vaccines Give Equivalent Protection against Influenza to mRNA Vaccines but at Much Lower Doses

2017 365 citations Annette B. Vogel, Laura Lambert et al. Molecular Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen T. Reece Germany	21	1.1k	716	614	520	342	38	1.7k
Homayoun Shams United States	23	871 0.8×	758 1.1×	748 1.2×	298 0.6×	251 0.7×	34	1.8k
Rajko Reljić United Kingdom	26	879 0.8×	525 0.7×	952 1.6×	480 0.9×	159 0.5×	67	1.8k
Evangelos Stavropoulos United Kingdom	19	1.6k 1.4×	1.2k 1.7×	1.2k 1.9×	591 1.1×	290 0.8×	22	2.4k
M. Lagranderie France	27	1.1k 1.0×	1.0k 1.4×	1.3k 2.1×	427 0.8×	219 0.6×	47	2.3k
Andreas Kupz Australia	20	752 0.7×	630 0.9×	661 1.1×	456 0.9×	150 0.4×	53	1.8k
Luis F. Barrera Colombia	19	861 0.8×	628 0.9×	620 1.0×	358 0.7×	225 0.7×	40	1.4k
Lucy E. DesJardin United States	19	821 0.7×	781 1.1×	295 0.5×	402 0.8×	268 0.8×	38	1.5k
Søren T. Hoff Denmark	19	1.1k 1.0×	909 1.3×	1.2k 2.0×	756 1.5×	356 1.0×	35	2.7k
M J Colston United Kingdom	25	1.0k 0.9×	833 1.2×	642 1.0×	764 1.5×	295 0.9×	54	2.0k
Anna Zganiacz Canada	25	1.2k 1.1×	771 1.1×	1.5k 2.4×	383 0.7×	121 0.4×	36	2.2k

Countries citing papers authored by Stephen T. Reece

Since Specialization

Citations

This map shows the geographic impact of Stephen T. Reece'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 Stephen T. Reece with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen T. Reece more than expected).

Fields of papers citing papers by Stephen T. Reece

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen T. Reece. 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 Stephen T. Reece. The network helps show where Stephen T. Reece may publish in the future.

Co-authorship network of co-authors of Stephen T. Reece

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen T. Reece. A scholar is included among the top collaborators of Stephen T. Reece 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 Stephen T. Reece. Stephen T. Reece 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

Higham, Sophie L., Ziyin Wang, Valarmathy Murugaiah, et al.. (2025). Intranasal delivery of mRNA expressing newly identified Acinetobacter baumannii antigens protects against bacterial lung disease. npj Vaccines. 10(1). 144–144. 2 indexed citations

Sridhar, Sushmita, Stephen T. Reece, Octavie Lunguya, et al.. (2024). Combining machine learning with high-content imaging to infer ciprofloxacin susceptibility in isolates of Salmonella Typhimurium. Nature Communications. 15(1). 5074–5074. 8 indexed citations

Higham, Sophie L., Stephen Baker, Katie E. Flight, et al.. (2023). Intranasal immunization with outer membrane vesicles (OMV) protects against airway colonization and systemic infection with Acinetobacter baumannii. Journal of Infection. 86(6). 563–573. 23 indexed citations

Mayito, Jonathan, Adrian R. Martineau, Divya Tiwari, et al.. (2023). Determinants of QuantiFERON Plus-diagnosed tuberculosis infection in adult Ugandan TB contacts: A cross-sectional study. PLoS ONE. 18(3). e0281559–e0281559. 2 indexed citations

Darton, Thomas C., Le Thanh Hoang Nhat, To Nguyen Thi Nguyen, et al.. (2022). Clinical and laboratory factors associated with neonatal sepsis mortality at a major Vietnamese children’s hospital. SHILAP Revista de lepidopterología. 2(9). e0000875–e0000875. 9 indexed citations

Maes, Mailis, Zoe A. Dyson, Sarah E. Smith, et al.. (2021). Publisher Correction: A novel therapeutic antibody screening method using bacterial high-content imaging reveals functional antibody binding phenotypes of Escherichia coli ST131. Scientific Reports. 11(1). 7366–7366.

Baker, Stephen, et al.. (2020). Protecting intubated patients from the threat of antimicrobial resistant infections with monoclonal antibodies. The Lancet Microbe. 1(5). e191–e192. 2 indexed citations

Maes, Mailis, Zoe A. Dyson, Sarah E. Smith, et al.. (2020). A novel therapeutic antibody screening method using bacterial high-content imaging reveals functional antibody binding phenotypes of Escherichia coli ST131. Scientific Reports. 10(1). 12414–12414. 11 indexed citations

Vogel, Annette B., Laura Lambert, Ekaterina Kinnear, et al.. (2017). Self-Amplifying RNA Vaccines Give Equivalent Protection against Influenza to mRNA Vaccines but at Much Lower Doses. Molecular Therapy. 26(2). 446–455. 365 indexed citations breakdown →

10.

Tornack, Julia, Stephen T. Reece, Wolfgang Bauer, et al.. (2017). Human and Mouse Hematopoietic Stem Cells Are a Depot for Dormant Mycobacterium tuberculosis. PLoS ONE. 12(1). e0169119–e0169119. 43 indexed citations

11.

Gengenbacher, Martin, María A. Duque-Correa, Doris Lazar, et al.. (2017). NOS2-deficient mice with hypoxic necrotizing lung lesions predict outcomes of tuberculosis chemotherapy in humans. Scientific Reports. 7(1). 8853–8853. 21 indexed citations

12.

Vogelzang, Alexis, Laura Lozza, Stephen T. Reece, et al.. (2016). Neonatal Fc Receptor Regulation of Lung Immunoglobulin and CD103 ⁺ Dendritic Cells Confers Transient Susceptibility to Tuberculosis. Infection and Immunity. 84(10). 2914–2921. 13 indexed citations

13.

Dorhoi, Anca, Vladimir Yeremeev, Geraldine Nouailles, et al.. (2014). Type I IFN signaling triggers immunopathology in tuberculosis‐susceptible mice by modulating lung phagocyte dynamics. European Journal of Immunology. 44(8). 2380–2393. 159 indexed citations

14.

Dorhoi, Anca, Geraldine Nouailles, Sabine Jörg, et al.. (2011). Activation of the NLRP3 inflammasome by Mycobacterium tuberculosis is uncoupled from susceptibility to active tuberculosis. European Journal of Immunology. 42(2). 374–384. 142 indexed citations

15.

Arama, Charles, Shahid Waseem, Carmen Fernández, et al.. (2011). A recombinant Bacille Calmette–Guérin construct expressing the Plasmodium falciparum circumsporozoite protein enhances dendritic cell activation and primes for circumsporozoite-specific memory cells in BALB/c mice. Vaccine. 30(37). 5578–5584. 16 indexed citations

16.

Reece, Stephen T. & Stefan H. E. Kaufmann. (2011). Floating between the poles of pathology and protection: can we pin down the granuloma in tuberculosis?. Current Opinion in Microbiology. 15(1). 63–70. 46 indexed citations

17.

Reece, Stephen T., Christoph Loddenkemper, David J. Askew, et al.. (2010). Serine protease activity contributes to control of Mycobacterium tuberculosis in hypoxic lung granulomas in mice. Journal of Clinical Investigation. 120(9). 3365–3376. 78 indexed citations

18.

Mollenkopf, Hans‐Joachim, et al.. (2009). Combination of host susceptibility and Mycobacterium tuberculosis virulence define gene expression profile in the host. European Journal of Immunology. 39(12). 3369–3384. 20 indexed citations

19.

Reece, Stephen T. & Stefan H. E. Kaufmann. (2007). Rational design of vaccines against tuberculosis directed by basic immunology. International Journal of Medical Microbiology. 298(1-2). 143–150. 31 indexed citations

20.

Reece, Stephen T., Cameron P. Simmons, Robert Fitzhenry, et al.. (2002). Tyrosine residues at the immunoglobulin-C-type lectin inter-domain boundary of intimin are not involved in Tir-binding but implicated in colonisation of the host. Microbes and Infection. 4(14). 1389–1399. 1 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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