Niluka Goonawardane

3.8k total citations
17 papers, 280 citations indexed

About

Niluka Goonawardane is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Hepatology. According to data from OpenAlex, Niluka Goonawardane has authored 17 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Hepatology. Recurrent topics in Niluka Goonawardane's work include Mosquito-borne diseases and control (6 papers), Viral Infections and Vectors (5 papers) and Hepatitis C virus research (5 papers). Niluka Goonawardane is often cited by papers focused on Mosquito-borne diseases and control (6 papers), Viral Infections and Vectors (5 papers) and Hepatitis C virus research (5 papers). Niluka Goonawardane collaborates with scholars based in United Kingdom, United States and Germany. Niluka Goonawardane's co-authors include Mark Harris, Dung Nguyen, Peter Simmonds, Yanni Gao, Andrew Tuplin, Jelke J. Fros, Isabelle Dietrich, Hazel Stewart, Valerie Odon and Christopher Bartlett and has published in prestigious journals such as Nucleic Acids Research, Journal of Virology and Scientific Reports.

In The Last Decade

Niluka Goonawardane

16 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niluka Goonawardane United Kingdom 8 120 91 73 72 54 17 280
Lorena Sánchez-Felipe Belgium 9 149 1.2× 57 0.6× 104 1.4× 88 1.2× 40 0.7× 15 336
Marie Bartenschlager Germany 8 138 1.1× 109 1.2× 51 0.7× 53 0.7× 40 0.7× 15 278
Carlos García‐Crespo Spain 10 106 0.9× 37 0.4× 37 0.5× 98 1.4× 19 0.4× 20 310
Aldo Barrera Chile 9 90 0.8× 23 0.3× 177 2.4× 121 1.7× 57 1.1× 12 337
Yuzy Fauzyah Japan 8 145 1.2× 49 0.5× 49 0.7× 61 0.8× 24 0.4× 10 242
Wangheng Hou China 11 163 1.4× 165 1.8× 100 1.4× 95 1.3× 46 0.9× 26 367
Miguel Avia Spain 9 186 1.6× 23 0.3× 96 1.3× 77 1.1× 119 2.2× 11 415
Benjamin P. Holder Canada 8 127 1.1× 80 0.9× 236 3.2× 47 0.7× 64 1.2× 10 366
Stefan Schmutz Switzerland 11 141 1.2× 19 0.2× 120 1.6× 147 2.0× 31 0.6× 17 379
Yu Qiang China 9 99 0.8× 28 0.3× 70 1.0× 73 1.0× 29 0.5× 18 329

Countries citing papers authored by Niluka Goonawardane

Since Specialization
Citations

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

Fields of papers citing papers by Niluka Goonawardane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niluka Goonawardane

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

All Works

17 of 17 papers shown
1.
Goonawardane, Niluka, et al.. (2025). A key role for hepatitis C virus NS5A serine 225 phosphorylation revealed by super-resolution microscopy. Scientific Reports. 15(1). 9567–9567.
2.
Suyama, Satoshi, Sally Boxall, Andrea Fořtová, et al.. (2025). Changes in metabolite profiles in the cerebrospinal fluid and in human neuronal cells upon tick-borne encephalitis virus infection. Journal of Neuroinflammation. 22(1). 157–157. 1 indexed citations
3.
Kembou-Ringert, Japhette Esther, Dieter Steinhagen, Kim D. Thompson, et al.. (2024). Knowns and unknowns of TiLV-associated neuronal disease. Virulence. 15(1). 2 indexed citations
4.
Ashbrook, Alison W., Niluka Goonawardane, Corrine Quirk, et al.. (2023). Characterization of Live-Attenuated Powassan Virus Vaccine Candidates Identifies an Efficacious Prime-Boost Strategy for Mitigating Powassan Virus Disease in a Murine Model. Vaccines. 11(3). 612–612. 10 indexed citations
5.
Harris, Mark, et al.. (2023). Functional characterization of 5′ untranslated region (UTR) secondary RNA structures in the replication of tick-borne encephalitis virus in mammalian cells. PLoS neglected tropical diseases. 17(1). e0011098–e0011098. 5 indexed citations
6.
Zhou, Jie, Anika Singanayagam, Niluka Goonawardane, et al.. (2023). Viral emissions into the air and environment after SARS-CoV-2 human challenge: a phase 1, open label, first-in-human study. The Lancet Microbe. 4(8). e579–e590. 35 indexed citations
7.
Zhou, Jie, Anika Singanayagam, Niluka Goonawardane, et al.. (2022). Viral Emissions into the Air and Environment after SARS-CoV-2 Human Challenge: A Phase 1, Open Label, First-in-Human Study. SSRN Electronic Journal. 2 indexed citations
8.
Goonawardane, Niluka, et al.. (2022). Identification of Host Factors Differentially Induced by Clinically Diverse Strains of Tick-Borne Encephalitis Virus. Journal of Virology. 96(18). e0081822–e0081822. 6 indexed citations
9.
Nguyen, Dung, Donal Skelly, & Niluka Goonawardane. (2021). A Novel Immunofluorescence Assay for the Rapid Serological Detection of SARS-CoV-2 Infection. Viruses. 13(5). 747–747. 7 indexed citations
10.
Goonawardane, Niluka, Dung Nguyen, & Peter Simmonds. (2021). Association of Zinc Finger Antiviral Protein Binding to Viral Genomic RNA with Attenuation of Replication of Echovirus 7. mSphere. 6(1). 16 indexed citations
11.
Loew, Lisa, Niluka Goonawardane, Jeremy Ratcliff, Dung Nguyen, & Peter Simmonds. (2020). Use of a small DNA virus model to investigate mechanisms of CpG dinucleotide-induced attenuation of virus replication. Journal of General Virology. 101(11). 1202–1218. 5 indexed citations
12.
Goonawardane, Niluka, et al.. (2019). Phenotypic analysis of mutations at residue 146 provides insights into the relationship between NS5A hyperphosphorylation and hepatitis C virus genome replication. Journal of General Virology. 101(3). 252–264. 2 indexed citations
13.
14.
Odon, Valerie, Jelke J. Fros, Niluka Goonawardane, et al.. (2019). The role of ZAP and OAS3/RNAseL pathways in the attenuation of an RNA virus with elevated frequencies of CpG and UpA dinucleotides. Nucleic Acids Research. 47(15). 8061–8083. 68 indexed citations
15.
Goonawardane, Niluka, et al.. (2018). A role for domain I of the hepatitis C virus NS5A protein in virus assembly. PLoS Pathogens. 14(1). e1006834–e1006834. 34 indexed citations
16.
Goonawardane, Niluka, Douglas Ross‐Thriepland, & Mark Harris. (2017). Regulation of hepatitis C virus replication via threonine phosphorylation of the NS5A protein. Journal of General Virology. 99(1). 62–72. 6 indexed citations
17.
Goonawardane, Niluka, et al.. (2017). Phosphorylation of Serine 225 in Hepatitis C Virus NS5A Regulates Protein-Protein Interactions. Journal of Virology. 91(17). 21 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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