Ivor Langley

529 total citations
23 papers, 373 citations indexed

About

Ivor Langley is a scholar working on Infectious Diseases, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Ivor Langley has authored 23 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 9 papers in Epidemiology and 9 papers in Economics and Econometrics. Recurrent topics in Ivor Langley's work include Tuberculosis Research and Epidemiology (16 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Pneumonia and Respiratory Infections (7 papers). Ivor Langley is often cited by papers focused on Tuberculosis Research and Epidemiology (16 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Pneumonia and Respiratory Infections (7 papers). Ivor Langley collaborates with scholars based in United Kingdom, United States and South Africa. Ivor Langley's co-authors include S. Bertel Squire, David W. Dowdy, Grant Theron, Keertan Dheda, Jonny Peter, Basra Doulla, Hsien-Ho Lin, Ted Cohen, Megan Murray and Kerry Millington and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and The Lancet Infectious Diseases.

In The Last Decade

Ivor Langley

23 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivor Langley United Kingdom 11 292 197 83 78 43 23 373
Bhavin Vadera India 11 310 1.1× 201 1.0× 80 1.0× 39 0.5× 25 0.6× 23 397
Lindiwe Mvusi South Africa 10 468 1.6× 333 1.7× 143 1.7× 90 1.2× 40 0.9× 23 563
L D Mametja South Africa 7 291 1.0× 219 1.1× 74 0.9× 55 0.7× 30 0.7× 8 369
Nimalan Arinaminpathy United Kingdom 10 277 0.9× 171 0.9× 45 0.5× 37 0.5× 30 0.7× 23 376
Rhehab Chimzizi Malawi 9 319 1.1× 221 1.1× 65 0.8× 58 0.7× 50 1.2× 20 375
Sevim Ahmedov United States 9 366 1.3× 207 1.1× 74 0.9× 29 0.4× 23 0.5× 30 452
Marriott Nliwasa Malawi 12 403 1.4× 290 1.5× 94 1.1× 37 0.5× 28 0.7× 51 521
McEwen Khundi United Kingdom 12 272 0.9× 210 1.1× 55 0.7× 24 0.3× 27 0.6× 23 350
Elizabeth Gardiner United States 6 403 1.4× 299 1.5× 149 1.8× 29 0.4× 35 0.8× 6 453
Maurice Gatera Rwanda 10 179 0.6× 363 1.8× 68 0.8× 23 0.3× 40 0.9× 14 579

Countries citing papers authored by Ivor Langley

Since Specialization
Citations

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

Fields of papers citing papers by Ivor Langley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivor Langley

This figure shows the co-authorship network connecting the top 25 collaborators of Ivor Langley. A scholar is included among the top collaborators of Ivor Langley 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 Ivor Langley. Ivor Langley 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.
Kritski, Afrânio Lineu, Martha Maria Oliveira, Mônica Kramer de Noronha Andrade, et al.. (2022). Clinical Impact of the Line Probe Assay and Xpert® MTB/RIF Assay in the Presumptive Diagnosis of Drug-Resistant Tuberculosis in Brazil: A Pragmatic Clinical Trial. Revista da Sociedade Brasileira de Medicina Tropical. 55. e0191–e0191. 3 indexed citations
2.
Doulla, Basra, S. Bertel Squire, Eleanor MacPherson, et al.. (2020). Reducing delays to multidrug-resistant tuberculosis case detection through a revised routine surveillance system. BMC Infectious Diseases. 20(1). 594–594. 3 indexed citations
3.
Madan, Jason, Denise Evans, Ivor Langley, et al.. (2020). Economic evaluation of short treatment for multidrug-resistant tuberculosis, Ethiopia and South Africa: the STREAM trial. Bulletin of the World Health Organization. 98(5). 306–314. 17 indexed citations
4.
Langley, Ivor, et al.. (2019). Use of GeneXpert and the role of an expert panel in improving clinical diagnosis of smear-negative tuberculosis cases. PLoS ONE. 14(12). e0227093–e0227093. 8 indexed citations
5.
Doulla, Basra, S. Bertel Squire, Eleanor MacPherson, et al.. (2019). Routine surveillance for the identification of drug resistant Tuberculosis in Tanzania: A cross-sectional study of stakeholders’ perceptions. PLoS ONE. 14(2). e0212421–e0212421. 7 indexed citations
6.
Langley, Ivor, et al.. (2019). Modelling the impact of chest X-ray and alternative triage approaches prior to seeking a tuberculosis diagnosis. BMC Infectious Diseases. 19(1). 93–93. 5 indexed citations
8.
Dunbar, Rory, Pamela Naidoo, Nulda Beyers, & Ivor Langley. (2018). Improving rifampicin-resistant tuberculosis diagnosis using Xpert® MTB/RIF: modelling interventions and costs. The International Journal of Tuberculosis and Lung Disease. 22(8). 890–898. 1 indexed citations
9.
Andrade, Mônica Kramer de Noronha, Margareth Pretti Dalcolmo, José Ueleres Braga, et al.. (2017). Outcomes from patients with presumed drug resistant tuberculosis in five reference centers in Brazil. BMC Infectious Diseases. 17(1). 571–571. 6 indexed citations
11.
Dunbar, Rory, Pren Naidoo, Nulda Beyers, & Ivor Langley. (2017). High laboratory cost predicted per tuberculosis case diagnosed with increased case finding without a triage strategy. The International Journal of Tuberculosis and Lung Disease. 21(9). 1026–1034. 4 indexed citations
13.
Langley, Ivor, S. Bertel Squire, Russell Dacombe, et al.. (2015). Developments in Impact Assessment of New Diagnostic Algorithms for Tuberculosis Control. Clinical Infectious Diseases. 61(suppl 3). S126–S134. 8 indexed citations
14.
Hollingsworth, T. Déirdre, Ivor Langley, D. James Nokes, et al.. (2015). Infectious disease and health systems modelling for local decision making to control neglected tropical diseases. BMC Proceedings. 9(S10). S6–S6. 14 indexed citations
15.
Theron, Grant, Jonny Peter, David W. Dowdy, et al.. (2014). Do high rates of empirical treatment undermine the potential effect of new diagnostic tests for tuberculosis in high-burden settings?. The Lancet Infectious Diseases. 14(6). 527–532. 116 indexed citations
16.
Langley, Ivor, Hsien-Ho Lin, Saidi Egwaga, et al.. (2014). Assessment of the patient, health system, and population effects of Xpert MTB/RIF and alternative diagnostics for tuberculosis in Tanzania: an integrated modelling approach. The Lancet Global Health. 2(10). e581–e591. 48 indexed citations
18.
Langley, Ivor, Basra Doulla, Hsien-Ho Lin, Kerry Millington, & S. Bertel Squire. (2012). Modelling the impacts of new diagnostic tools for tuberculosis in developing countries to enhance policy decisions. Health Care Management Science. 15(3). 239–253. 19 indexed citations
19.
Squire, S. Bertel, Andrew Ramsay, Susan van den Hof, et al.. (2011). Making innovations accessible to the poor through implementation research [State of the art series. Operational research. Number 7 in the series]. The International Journal of Tuberculosis and Lung Disease. 15(7). 862–870. 22 indexed citations
20.
Lin, Hsien-Ho, Ivor Langley, Basra Doulla, et al.. (2011). A modelling framework to support the selection and implementation of new tuberculosis diagnostic tools [State of the art series. Operational research. Number 8 in the series]. The International Journal of Tuberculosis and Lung Disease. 15(8). 996–1004. 31 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026