Nivenka Jayasekera

515 total citations
18 papers, 372 citations indexed

About

Nivenka Jayasekera is a scholar working on Infectious Diseases, Physiology and Surgery. According to data from OpenAlex, Nivenka Jayasekera has authored 18 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Physiology and 5 papers in Surgery. Recurrent topics in Nivenka Jayasekera's work include Tuberculosis Research and Epidemiology (7 papers), Asthma and respiratory diseases (6 papers) and Allergic Rhinitis and Sensitization (4 papers). Nivenka Jayasekera is often cited by papers focused on Tuberculosis Research and Epidemiology (7 papers), Asthma and respiratory diseases (6 papers) and Allergic Rhinitis and Sensitization (4 papers). Nivenka Jayasekera collaborates with scholars based in United Kingdom, Australia and France. Nivenka Jayasekera's co-authors include Peter Howarth, Donna E. Davies, Emily J. Swindle, Stephen T. Holgate, Cornelia Blume, Patrick Dennison, Hitasha Rupani, Neil Gozzard, Jane Collins and Emma C. Martin and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Journal of Allergy and Clinical Immunology.

In The Last Decade

Nivenka Jayasekera

15 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nivenka Jayasekera United Kingdom 8 189 119 116 95 64 18 372
Jenny Calvén Sweden 9 178 0.9× 155 1.3× 83 0.7× 57 0.6× 40 0.6× 14 322
Jason Emo United States 9 156 0.8× 175 1.5× 95 0.8× 50 0.5× 98 1.5× 11 441
Syed Hasan Arshad United Kingdom 5 236 1.2× 89 0.7× 145 1.3× 71 0.7× 60 0.9× 6 353
Laura Hesse Netherlands 11 195 1.0× 172 1.4× 159 1.4× 101 1.1× 144 2.3× 19 524
Juan José Nieto‐Fontarigo Spain 13 210 1.1× 71 0.6× 141 1.2× 92 1.0× 52 0.8× 30 352
Tae Gi Uhm South Korea 8 169 0.9× 138 1.2× 67 0.6× 45 0.5× 96 1.5× 12 377
Philippe Marquillies France 10 224 1.2× 257 2.2× 58 0.5× 80 0.8× 97 1.5× 14 459
Z Xing China 4 302 1.6× 289 2.4× 155 1.3× 139 1.5× 58 0.9× 11 549
Anne‐Marie Madore Canada 11 226 1.2× 130 1.1× 100 0.9× 74 0.8× 113 1.8× 27 396
Johanna C. Ehlers Germany 3 101 0.5× 98 0.8× 70 0.6× 44 0.5× 63 1.0× 4 263

Countries citing papers authored by Nivenka Jayasekera

Since Specialization
Citations

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

Fields of papers citing papers by Nivenka Jayasekera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nivenka Jayasekera

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

All Works

18 of 18 papers shown
1.
Rahman, Arfatur, Julie Demaret, Verónica White, et al.. (2025). Vitamin D to enhance resolution of persistent lung inflammation after TB treatment: a pilot randomised controlled trial. The International Journal of Tuberculosis and Lung Disease. 29(7). 328–330.
2.
Azim, Adnan, Ben Green, Laurie Lau, et al.. (2021). Peripheral airways type 2 inflammation, neutrophilia and microbial dysbiosis in severe asthma. Allergy. 76(7). 2070–2078. 19 indexed citations
3.
Tiberi, Simon, et al.. (2019). Breast tuberculosis in East London: A 13‐year retrospective observational study. The Breast Journal. 26(2). 235–239. 4 indexed citations
4.
Loutet, Miranda G., et al.. (2018). National roll-out of latent tuberculosis testing and treatment for new migrants in England: a retrospective evaluation in a high-incidence area. European Respiratory Journal. 51(1). 1701226–1701226. 17 indexed citations
5.
McDermott, Rory, et al.. (2018). Evaluating the accuracy of commercially available finger pulse oximeters in a hospital setting. PA4452–PA4452. 4 indexed citations
6.
Singhania, Akul, Hitasha Rupani, Nivenka Jayasekera, et al.. (2017). Altered Epithelial Gene Expression in Peripheral Airways of Severe Asthma. PLoS ONE. 12(1). e0168680–e0168680. 43 indexed citations
7.
Rupani, Hitasha, Rocío T. Martínez-Núñez, Patrick Dennison, et al.. (2016). Toll-like Receptor 7 Is Reduced in Severe Asthma and Linked to an Altered MicroRNA Profile. American Journal of Respiratory and Critical Care Medicine. 194(1). 26–37. 50 indexed citations
8.
Hyams, Catherine, et al.. (2014). Treatment for latent tuberculosis infection in migrants carries a low risk of hepatotoxicity. European Respiratory Journal. 44(Suppl 58). P3055–P3055.
9.
Denneny, Emma, et al.. (2014). M35 Adverse Effects Of Latent Tuberculosis Treatment In Migrants. Thorax. 69(Suppl 2). A208–A208.
10.
Potter, Jessica, et al.. (2014). P189 Should Screening For Chronic Viral Hepatitis In Patients With Tuberculosis Be Introduced To Nice Guidelines?. Thorax. 69(Suppl 2). A159–A159. 4 indexed citations
11.
Denneny, Emma, et al.. (2014). M40 Tackling Poor Attendance To Tuberculosis Clinic - Who, Why And What Can Be Done. Thorax. 69(Suppl 2). A210–A210. 1 indexed citations
12.
Wilkinson, Emily, Emma C. Martin, Nivenka Jayasekera, et al.. (2013). TNF-α–mediated bronchial barrier disruption and regulation by src-family kinase activation. Journal of Allergy and Clinical Immunology. 132(3). 665–675.e8. 95 indexed citations
13.
Leino, Marina, Matthew Loxham, Cornelia Blume, et al.. (2013). Barrier Disrupting Effects of Alternaria Alternata Extract on Bronchial Epithelium from Asthmatic Donors. PLoS ONE. 8(8). e71278–e71278. 61 indexed citations
14.
Blume, Cornelia, Emily J. Swindle, Patrick Dennison, et al.. (2012). Barrier responses of human bronchial epithelial cells to grass pollen exposure. European Respiratory Journal. 42(1). 87–97. 55 indexed citations
15.
Rupani, Hitasha, Patrick Dennison, Nivenka Jayasekera, Tilman Sánchez-Elsner, & Peter Howarth. (2012). S116 MicroRNA Regulation of Toll-Like Receptor 7 Function in Severe Asthma: Relevance to Viral Responses. Thorax. 67(Suppl 2). A57.1–A57. 1 indexed citations
16.
Jayasekera, Nivenka, et al.. (2010). S42 Airway epithelial toll receptor expression in asthma and its relationship to disease severity. Thorax. 65(Suppl 4). A21–A22. 3 indexed citations
17.
Jayasekera, Nivenka, Tudor Toma, Andrew B. Williams, & K Rajakulasingam. (2006). Mechanisms of immunotherapy in allergic rhinitis. Biomedicine & Pharmacotherapy. 61(1). 29–33. 14 indexed citations
18.
Jayasekera, Nivenka. (2004). Does CT screening for lung cancer assist smokers to stop. Thorax. 59(3). 230–230. 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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