Pauline T. Lukey

5.9k total citations · 1 hit paper
69 papers, 4.0k citations indexed

About

Pauline T. Lukey is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Pauline T. Lukey has authored 69 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Infectious Diseases, 27 papers in Epidemiology and 23 papers in Immunology. Recurrent topics in Pauline T. Lukey's work include Tuberculosis Research and Epidemiology (31 papers), Mycobacterium research and diagnosis (21 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers). Pauline T. Lukey is often cited by papers focused on Tuberculosis Research and Epidemiology (31 papers), Mycobacterium research and diagnosis (21 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers). Pauline T. Lukey collaborates with scholars based in United Kingdom, South Africa and United States. Pauline T. Lukey's co-authors include Ken Duncan, Joanna Betts, Ruth A. McAdam, Paul D. van Helden, Toby M. Maher, Ronald Anderson, Richard P. Marshall, Stanley Ress, Hazel M. Dockrell and Juanita Bezuidenhout and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Pauline T. Lukey

67 papers receiving 4.0k 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.

Evaluation of a nutrient starvation model of Mycobacterium tuberculosis persistence by gene and protein expression profiling

2002 1.1k citations Joanna Betts, Pauline T. Lukey et al. Molecular Microbiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pauline T. Lukey United Kingdom	31	2.2k	1.8k	1.2k	686	662	69	4.0k
Jordi B. Torrelles United States	39	2.6k 1.2×	2.0k 1.1×	1.3k 1.1×	278 0.4×	1.3k 2.0×	122	4.6k
Kathryn E. Tanaka United States	24	1.4k 0.6×	1.8k 1.0×	894 0.8×	181 0.3×	1.0k 1.5×	41	3.7k
Selvakumar Subbian United States	33	2.1k 0.9×	1.5k 0.8×	993 0.9×	157 0.2×	769 1.2×	116	3.4k
Michael K. Mansour United States	30	1.7k 0.8×	1.5k 0.8×	1.1k 0.9×	251 0.4×	787 1.2×	100	3.6k
Mikio Oka Japan	36	943 0.4×	1.5k 0.8×	1.2k 1.1×	733 1.1×	805 1.2×	207	4.6k
Ih‐Jen Su Taiwan	42	1.6k 0.7×	2.0k 1.1×	1.2k 1.0×	121 0.2×	563 0.9×	105	5.1k
Hiroyuki Yamada Japan	33	1.2k 0.6×	1.1k 0.6×	815 0.7×	777 1.1×	880 1.3×	137	3.5k
Pier Giulio Conaldi Italy	34	571 0.3×	657 0.4×	1.3k 1.1×	210 0.3×	513 0.8×	173	3.6k
Kazutoshi Shibuya Japan	31	1.2k 0.5×	1.2k 0.7×	521 0.4×	814 1.2×	211 0.3×	274	3.6k
Naoya Kato Japan	50	773 0.4×	4.1k 2.3×	2.1k 1.8×	563 0.8×	1.4k 2.1×	332	9.1k

Countries citing papers authored by Pauline T. Lukey

Since Specialization

Citations

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

Fields of papers citing papers by Pauline T. Lukey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pauline T. Lukey

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

Mikolajewicz, Nicholas, Nick Bishop, Andrew J. Burghardt, et al.. (2019). HR-pQCT Measures of Bone Microarchitecture Predict Fracture: Systematic Review and Meta-Analysis. Journal of Bone and Mineral Research. 35(3). 446–459. 122 indexed citations

Stewart, Iain, Tricia M. McKeever, Rebecca Braybrooke, et al.. (2019). Patient-reported distress can aid clinical decision-making in idiopathic pulmonary fibrosis: analysis of the PROFILE cohort. European Respiratory Journal. 53(5). 1801925–1801925. 4 indexed citations

Lukey, Pauline T., Christopher Coello, Roger N. Gunn, et al.. (2019). Clinical quantification of the integrin αvβ6 by [18F]FB-A20FMDV2 positron emission tomography in healthy and fibrotic human lung (PETAL Study). European Journal of Nuclear Medicine and Molecular Imaging. 47(4). 967–979. 43 indexed citations

Keat, Nicholas, Julia Kenny, Mayca Onega, et al.. (2018). A Microdose PET Study of the Safety, Immunogenicity, Biodistribution, and Radiation Dosimetry of¹⁸F-FB-A20FMDV2 for Imaging the Integrin α_vβ₆. Journal of Nuclear Medicine Technology. 46(2). 136–143. 23 indexed citations

Usmani, Omar S., Martyn F. Biddiscombe, Shuying Yang, et al.. (2018). The topical study of inhaled drug (salbutamol) delivery in idiopathic pulmonary fibrosis. Respiratory Research. 19(1). 25–25. 21 indexed citations

Russell, Anne‐Marie, Huzaifa Adamali, Philip L. Molyneaux, et al.. (2016). Daily Home Spirometry: An Effective Tool for Detecting Progression in Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 194(8). 989–997. 114 indexed citations

Mercer, Paul F., Hannah V. Woodcock, Jessica Eley, et al.. (2016). Exploration of a potent PI3 kinase/mTOR inhibitor as a novel anti-fibrotic agent in IPF. Thorax. 71(8). 701–711. 154 indexed citations

Jenkins, Gísli, Juliet K. Simpson, Gauri Saini, et al.. (2015). Longitudinal change in collagen degradation biomarkers in idiopathic pulmonary fibrosis: an analysis from the prospective, multicentre PROFILE study. The Lancet Respiratory Medicine. 3(6). 462–472. 198 indexed citations

Win, Thida, Benjamin A. Thomas, Tryphon Lambrou, et al.. (2013). Areas of normal pulmonary parenchyma on HRCT exhibit increased FDG PET signal in IPF patients. European Journal of Nuclear Medicine and Molecular Imaging. 41(2). 337–342. 60 indexed citations

10.

Russell, Anne‐Marie, Philip L. Molyneaux, Athol U. Wells, et al.. (2013). Quality of life measures in patients with idiopathic pulmonary fibrosis. European Respiratory Journal. 42(Suppl 57). P3368–P3368. 2 indexed citations

11.

Russell, Anne‐Marie, et al.. (2012). Daily Hand-Held Spirometry For The Monitoring Of Patients With Idiopathic Pulmonary Fibrosis. A4579–A4579. 2 indexed citations

12.

Larché, Maggie, Adrian Lim, Robert J. Eckersley, et al.. (2010). Quantitative Power Doppler Ultrasonography Is a Sensitive Measure of Metacarpophalangeal Joint Synovial Vascularity in Rheumatoid Arthritis and Declines Significantly Following a 2-week Course of Oral Low-dose Corticosteroids. The Journal of Rheumatology. 37(12). 2493–2501. 25 indexed citations

13.

Lukey, Pauline T., et al.. (2007). Strain-Dependent Variation inMycobacterium bovisBCG-Induced Human T-Cell Activation and Gamma Interferon Production In Vitro. Infection and Immunity. 75(6). 3197–3201. 12 indexed citations

14.

Mistry, Rohit, Jacqueline M. Cliff, Christopher L. Clayton, et al.. (2007). Gene‐Expression Patterns in Whole Blood Identify Subjects at Risk for Recurrent Tuberculosis. The Journal of Infectious Diseases. 195(3). 357–365. 107 indexed citations

15.

Lukey, Pauline T., et al.. (2007). Changes in the kinetics of intracellular IFN-γ production in TB patients during treatment. Clinical Immunology. 124(3). 336–344. 25 indexed citations

16.

Cliff, Jacqueline M., Rohit Mistry, Christopher L. Clayton, et al.. (2004). Differential Gene Expression Identifies Novel Markers of CD4+ and CD8+ T Cell Activation Following Stimulation by Mycobacterium tuberculosis. The Journal of Immunology. 173(1). 485–493. 22 indexed citations

17.

Betts, Joanna, et al.. (2002). Evaluation of a nutrient starvation model of Mycobacterium tuberculosis persistence by gene and protein expression profiling. Molecular Microbiology. 43(3). 717–731. 1140 indexed citations breakdown →

18.

Lukey, Pauline T., et al.. (1994). Basic fibroblast growth factor antagonizes transforming growth factor beta-mediated erythroid differentiation in K562 cells. Blood. 83(7). 1808–1812. 16 indexed citations

19.

Keraan, M, et al.. (1992). Evidence for In Vivo Generation of Cytotoxic T Cells: PPD-stimulated Lymphocytes from Tuberculous Pleural Effusions Demonstrate Enhanced Cytotoxicity with Accelerated Kinetics of Induction. American Review of Respiratory Disease. 145(2_pt_1). 418–423. 37 indexed citations

20.

Anderson, Ronald, et al.. (1984). Benoxaprofen: A pro-oxidant anti-inflammatory drug?. Inflammation Research. 14(2). 238–246. 9 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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