Arundathi Jayatilleke

1.9k total citations
10 papers, 258 citations indexed

About

Arundathi Jayatilleke is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Infectious Diseases. According to data from OpenAlex, Arundathi Jayatilleke has authored 10 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 1 paper in Infectious Diseases. Recurrent topics in Arundathi Jayatilleke's work include COVID-19 and healthcare impacts (1 paper), Innovative Teaching and Learning Methods (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Arundathi Jayatilleke is often cited by papers focused on COVID-19 and healthcare impacts (1 paper), Innovative Teaching and Learning Methods (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Arundathi Jayatilleke collaborates with scholars based in United States, Australia and United Kingdom. Arundathi Jayatilleke's co-authors include Aasakiran Madamanchi, Sathyamangla V. Naga Prasad, Howard A. Rockman, Lionel B. Ivashkiv, Laura T. Donlin, Ευγενία Γιαννοπούλου, George D. Kalliolias, Spencer Shaw, Philip C. Robinson and Taryn Youngstein and has published in prestigious journals such as The Journal of Immunology, Nature Cell Biology and Annals of the Rheumatic Diseases.

In The Last Decade

Arundathi Jayatilleke

10 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arundathi Jayatilleke United States 7 125 65 40 35 27 10 258
Adrien Lupieri United States 9 108 0.9× 67 1.0× 54 1.4× 10 0.3× 28 1.0× 16 278
Jessica Bonneau France 8 88 0.7× 52 0.8× 25 0.6× 16 0.5× 18 0.7× 10 314
Ted Petley United States 7 122 1.0× 157 2.4× 14 0.3× 10 0.3× 39 1.4× 8 404
Lebo Sun China 11 325 2.6× 27 0.4× 42 1.1× 13 0.4× 29 1.1× 21 429
Nicholas J. Tardi United States 8 171 1.4× 65 1.0× 9 0.2× 14 0.4× 15 0.6× 10 341
Hagit Baris Feldman Israel 11 131 1.0× 34 0.5× 13 0.3× 7 0.2× 33 1.2× 42 366
Janakan Krishnarajah Australia 8 76 0.6× 13 0.2× 38 0.9× 16 0.5× 21 0.8× 10 279
Yuxiu Xia Australia 12 108 0.9× 83 1.3× 9 0.2× 8 0.2× 23 0.9× 16 344
Arianna Francesconi Italy 10 169 1.4× 37 0.6× 93 2.3× 9 0.3× 24 0.9× 14 340
David Mosén-Ansorena Spain 8 163 1.3× 53 0.8× 10 0.3× 18 0.5× 21 0.8× 13 270

Countries citing papers authored by Arundathi Jayatilleke

Since Specialization
Citations

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

Fields of papers citing papers by Arundathi Jayatilleke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arundathi Jayatilleke

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

All Works

10 of 10 papers shown
1.
Jayatilleke, Arundathi. (2025). Arthritis: Rheumatoid Arthritis.. PubMed. 548. 25–30. 1 indexed citations
2.
Chock, Yu Pei Eugenia, Michael Putman, Richard Conway, et al.. (2022). Experience with telemedicine amongst rheumatology clinicians during the COVID-19 pandemic: an international survey. Rheumatology Advances in Practice. 6(2). rkac039–rkac039. 8 indexed citations
3.
Jayatilleke, Arundathi. (2021). Immunosuppression in Rheumatologic and Auto-immune Disease. Handbook of experimental pharmacology. 272. 181–208. 4 indexed citations
4.
Jayatilleke, Arundathi & Mamta Shah. (2020). Examining the Technological Pedagogical Content Characteristics of Games for Medical Education. Medical Science Educator. 30(1). 529–536. 3 indexed citations
5.
Amigues, Isabelle, Alexander H. Pearlman, Aarat Patel, et al.. (2020). Coronavirus disease 2019: investigational therapies in the prevention and treatment of hyperinflammation. Expert Review of Clinical Immunology. 16(12). 1185–1204. 22 indexed citations
6.
Collins, Christopher, et al.. (2018). AB1385 #rheumjc: 3 year analysis of a twitter based rheumatology journal club. Annals of the Rheumatic Diseases. 77. 1777–1777. 6 indexed citations
7.
Donlin, Laura T., Arundathi Jayatilleke, Ευγενία Γιαννοπούλου, George D. Kalliolias, & Lionel B. Ivashkiv. (2014). Modulation of TNF-Induced Macrophage Polarization by Synovial Fibroblasts. The Journal of Immunology. 193(5). 2373–2383. 82 indexed citations
8.
9.
Prasad, Sathyamangla V. Naga, Arundathi Jayatilleke, Aasakiran Madamanchi, & Howard A. Rockman. (2005). Protein kinase activity of phosphoinositide 3-kinase regulates β-adrenergic receptor endocytosis. Nature Cell Biology. 7(8). 785–796. 108 indexed citations
10.
Jayatilleke, Arundathi & Spencer Shaw. (1998). Stimulation of Monocyte Interleukin-8 by Lipid Peroxidation Products. Alcohol. 16(2). 119–123. 18 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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