Wikum Jayatunga

926 total citations
9 papers, 548 citations indexed

About

Wikum Jayatunga is a scholar working on General Health Professions, Health and Epidemiology. According to data from OpenAlex, Wikum Jayatunga has authored 9 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 3 papers in Health and 3 papers in Epidemiology. Recurrent topics in Wikum Jayatunga's work include Global Health Care Issues (5 papers), Healthcare Policy and Management (3 papers) and Health disparities and outcomes (3 papers). Wikum Jayatunga is often cited by papers focused on Global Health Care Issues (5 papers), Healthcare Policy and Management (3 papers) and Health disparities and outcomes (3 papers). Wikum Jayatunga collaborates with scholars based in United Kingdom and India. Wikum Jayatunga's co-authors include Claudia Langenberg, Oliver Mytton, Orla Murphy, Jonathan S. Nguyen‐Van‐Tam, Nisha Mehta, Tom Fowler, Danielle Eddy, Edward Mullins, Catherine Falconer and Robert W Aldridge and has published in prestigious journals such as The Lancet, Clinical Infectious Diseases and BMC Public Health.

In The Last Decade

Wikum Jayatunga

9 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wikum Jayatunga United Kingdom 7 182 161 127 69 65 9 548
Elizabeth B Pathak United States 14 80 0.4× 105 0.7× 82 0.6× 46 0.7× 69 1.1× 29 514
Evelyn Twentyman United States 13 170 0.9× 104 0.6× 114 0.9× 89 1.3× 87 1.3× 24 675
Trini Mathew United States 12 265 1.5× 126 0.8× 111 0.9× 25 0.4× 155 2.4× 25 659
Ebisa Turi Ethiopia 15 167 0.9× 142 0.9× 40 0.3× 29 0.4× 47 0.7× 44 604
Azzurra Massimi Italy 14 119 0.7× 207 1.3× 241 1.9× 29 0.4× 36 0.6× 56 626
Hunter Spencer United States 4 223 1.2× 179 1.1× 167 1.3× 62 0.9× 180 2.8× 9 760
Kamal Gholipour‎ Iran 11 114 0.6× 202 1.3× 109 0.9× 33 0.5× 164 2.5× 50 669
Lauren Shaw United States 13 191 1.0× 120 0.7× 242 1.9× 46 0.7× 21 0.3× 20 573
Natnael Atnafu Gebeyehu Ethiopia 14 76 0.4× 88 0.5× 83 0.7× 46 0.7× 32 0.5× 83 515
Daniel John United States 4 122 0.7× 94 0.6× 73 0.6× 20 0.3× 114 1.8× 8 464

Countries citing papers authored by Wikum Jayatunga

Since Specialization
Citations

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

Fields of papers citing papers by Wikum Jayatunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wikum Jayatunga

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

All Works

9 of 9 papers shown
1.
Mehta, Nisha, Oliver Mytton, Edward Mullins, et al.. (2020). SARS-CoV-2 (COVID-19): What Do We Know About Children? A Systematic Review. SSRN Electronic Journal. 31 indexed citations
2.
Mehta, Nisha, Oliver Mytton, Edward Mullins, et al.. (2020). SARS-CoV-2 (COVID-19): What Do We Know About Children? A Systematic Review. Clinical Infectious Diseases. 71(9). 2469–2479. 254 indexed citations
3.
Jayatunga, Wikum, Dan Lewer, Jenny Shand, et al.. (2019). Health and social care costs at the end of life: a matched analysis of linked patient records in East London. Age and Ageing. 49(1). 82–87. 6 indexed citations
4.
Jayatunga, Wikum, et al.. (2019). Code sets for respiratory symptoms in electronic health records research: a systematic review protocol. BMJ Open. 9(3). e025965–e025965. 3 indexed citations
5.
Jayatunga, Wikum, Miqdad Asaria, Annalisa Belloni, et al.. (2019). Social gradients in health and social care costs: Analysis of linked electronic health records in Kent, UK. Public Health. 169. 188–194. 8 indexed citations
6.
Lewer, Dan, Wikum Jayatunga, Robert W Aldridge, et al.. (2019). Premature mortality attributable to socioeconomic inequality in England between 2003 and 2018: an observational study. The Lancet Public Health. 5(1). e33–e41. 133 indexed citations
7.
Baker, Peter, Sharif Ismail, Taavi Tillmann, et al.. (2019). Going upstream – an umbrella review of the macroeconomic determinants of health and health inequalities. BMC Public Health. 19(1). 1678–1678. 67 indexed citations
8.
Jayatunga, Wikum, Dan Lewer, Jenny Shand, et al.. (2019). Health and social care costs at the end of life: a cross-sectional matched analysis of linked patient records in East London. The Lancet. 394. S61–S61. 1 indexed citations
9.
Galizzi, Matteo M., et al.. (2012). Who is more likely to use doctor-rating websites, and why? A cross-sectional study in London. BMJ Open. 2(6). e001493–e001493. 45 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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