Melissa Wickremasinghe

1.8k total citations
29 papers, 855 citations indexed

About

Melissa Wickremasinghe is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Epidemiology. According to data from OpenAlex, Melissa Wickremasinghe has authored 29 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 11 papers in Infectious Diseases and 11 papers in Epidemiology. Recurrent topics in Melissa Wickremasinghe's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Tuberculosis Research and Epidemiology (8 papers) and Sarcoidosis and Beryllium Toxicity Research (7 papers). Melissa Wickremasinghe is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Tuberculosis Research and Epidemiology (8 papers) and Sarcoidosis and Beryllium Toxicity Research (7 papers). Melissa Wickremasinghe collaborates with scholars based in United Kingdom, United States and Australia. Melissa Wickremasinghe's co-authors include Lynette H. Thomas, Jon S. Friedland, Onn Min Kon, Ajit Lalvani, Kerry Millington, Suzie Hingley‐Wilson, David Connell, Sarah M. Fortune, Jeffrey Low and Saranya Sridhar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Melissa Wickremasinghe

27 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa Wickremasinghe United Kingdom 14 393 358 258 202 185 29 855
Monica Campo United States 13 388 1.0× 298 0.8× 335 1.3× 129 0.6× 112 0.6× 25 822
Arumugam Balamurugan United States 20 442 1.1× 261 0.7× 592 2.3× 121 0.6× 116 0.6× 32 1.4k
Jill M. Johnsen United States 19 131 0.3× 148 0.4× 172 0.7× 140 0.7× 133 0.7× 57 1.2k
Sanit Makonkawkeyoon Thailand 9 324 0.8× 250 0.7× 129 0.5× 39 0.2× 152 0.8× 20 862
Urara Kohdera Japan 15 339 0.9× 269 0.8× 100 0.4× 87 0.4× 100 0.5× 38 695
Richard Garcia‐Kennedy United States 18 208 0.5× 552 1.5× 111 0.4× 110 0.5× 461 2.5× 35 1.4k
Alicia C Marín Spain 17 124 0.3× 409 1.1× 290 1.1× 157 0.8× 436 2.4× 46 1.2k
Karoline I. Gaede Germany 18 117 0.3× 176 0.5× 151 0.6× 462 2.3× 64 0.3× 46 1.0k
Marielle Cohard France 12 122 0.3× 1.1k 3.2× 394 1.5× 143 0.7× 297 1.6× 22 1.9k

Countries citing papers authored by Melissa Wickremasinghe

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Wickremasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Wickremasinghe

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Wickremasinghe. A scholar is included among the top collaborators of Melissa Wickremasinghe 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 Melissa Wickremasinghe. Melissa Wickremasinghe 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.
2.
Feary, Johanna, Anand Devaraj, Matthew Burton, et al.. (2024). Artificial stone silicosis: a UK case series. Thorax. 79(10). 979–981. 10 indexed citations
3.
4.
Smith, D, Jamilah Meghji, Mufaddal Moonim, et al.. (2023). Sarcoidosis following COVID infection: A case series. SHILAP Revista de lepidopterología. 11(11). e01231–e01231. 4 indexed citations
5.
Kumar, Kartik, Simon M. Collin, P Ricci, et al.. (2023). Chest CT features and functional correlates of COVID-19 at 3 months and 12 months follow-up. Clinical Medicine. 23(5). 467–477. 4 indexed citations
6.
Birnie, David H., Rob Beanlands, Pablo B. Nery, et al.. (2019). Cardiac Sarcoidosis multi-center randomized controlled trial (CHASM CS- RCT). American Heart Journal. 220. 246–252. 68 indexed citations
7.
Saketkoo, Lesley Ann, et al.. (2018). Feasibility, utility and symptom impact of modified mindfulness training in sarcoidosis. ERJ Open Research. 4(2). 85–2017. 13 indexed citations
8.
Eberhardt, Christian, Muhunthan Thillai, Robert Parker, et al.. (2017). Proteomic Analysis of Kveim Reagent Identifies Targets of Cellular Immunity in Sarcoidosis. PLoS ONE. 12(1). e0170285–e0170285. 37 indexed citations
9.
Dhasmana, Devesh, Clare Ross, David Connell, et al.. (2014). Performance of Xpert MTB/RIF in the Diagnosis of Tuberculous Mediastinal Lymphadenopathy by Endobronchial Ultrasound. Annals of the American Thoracic Society. 11(3). 392–396. 40 indexed citations
10.
Ross, Clare, et al.. (2013). A retrospective review of the Xpert® MTB/RIF assay performance in bronchoalveolar lavage samples in a London hospital. European Respiratory Journal. 42(Suppl 57). P512–P512.
11.
Hewitt, Richard, C. A. Wright, David Adeboyeku, et al.. (2013). Primary nodal anthracosis identified by EBUS-TBNA as a cause of FDG PET/CT positive mediastinal lymphadenopathy. Respiratory Medicine Case Reports. 10. 48–52. 20 indexed citations
12.
13.
Thillai, Muhunthan, Christian Eberhardt, Alex Lewin, et al.. (2012). Sarcoidosis and Tuberculosis Cytokine Profiles: Indistinguishable in Bronchoalveolar Lavage but Different in Blood. PLoS ONE. 7(7). e38083–e38083. 32 indexed citations
14.
Singanayagam, Aran, Saranya Sridhar, Jaideep Dhariwal, et al.. (2011). A Comparison between Two Strategies for Monitoring Hepatic Function during Antituberculous Therapy. American Journal of Respiratory and Critical Care Medicine. 185(6). 653–659. 42 indexed citations
15.
George, Peter M., Jaideep Dhariwal, Aran Singanayagam, et al.. (2011). Post-bronchoscopy sputum: Improving the diagnostic yield in smear negative pulmonary TB. Respiratory Medicine. 105(11). 1726–1731. 16 indexed citations
16.
Iskander, Deena, Melissa Wickremasinghe, & Barbara J. Bain. (2011). Thrombotic microangiopathy complicating pegylated interferon treatment of hepatitis C infection. American Journal of Hematology. 86(10). 859–859. 2 indexed citations
17.
Connell, David, et al.. (2010). The use of thoracic computed tomography scanning and EBUS-TBNA to diagnose tuberculosis of the central nervous system: two case reports. European Respiratory Review. 19(118). 345–347. 3 indexed citations
18.
Casey, Rosalyn, Kerry Millington, Damien Montamat‐Sicotte, et al.. (2010). Enumeration of Functional T-Cell Subsets by Fluorescence-Immunospot Defines Signatures of Pathogen Burden in Tuberculosis. PLoS ONE. 5(12). e15619–e15619. 76 indexed citations
19.
Wickremasinghe, Melissa, Lynette H. Thomas, Cecilia O’Kane, Jasim Uddin, & Jon S. Friedland. (2004). Transcriptional Mechanisms Regulating Alveolar Epithelial Cell-specific CCL5 Secretion in Pulmonary Tuberculosis. Journal of Biological Chemistry. 279(26). 27199–27210. 69 indexed citations
20.
Wickremasinghe, Melissa, Lynette H. Thomas, & Jon S. Friedland. (1999). Pulmonary Epithelial Cells are a Source of IL-8 in the Response to Mycobacterium tuberculosis : Essential Role of IL-1 from Infected Monocytes in a NF-κB-Dependent Network. The Journal of Immunology. 163(7). 3936–3947. 115 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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