Aruna Dharshan De Silva

6.4k citations
78 papers · 4.1k indexed · 2 hit papers · h-index 31

Aruna Dharshan De Silva

77 papers receiving 4.0k citations

Hit Papers

Properties of MHC Class I Presented Peptides That Enhance...201320262017202120132013200400600

Peers

Aruna Dharshan De Silva
Comparison fields: 5 of 109
  • Infectious Diseases 1.9k
  • Public Health, Environmental and Occupational Health 1.7k
  • Immunology 1.4k
  • Molecular Biology 1.2k
  • Epidemiology 646
Replace Carl W. Davis with:
Carl W. Davis United States
Giovanna Barba–Spaeth France
M. Javad Aman United States
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Sinu Paul United States
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Juthathip Mongkolsapaya United Kingdom
Connie S. Schmaljohn United States
Xiao‐Ning Xu United Kingdom
Aruna Dharshan De Silva relative to Carl W. Davis United States Carl W. Davis's profile →
Citations per field
00.5×3.7×
Carl W. Davis · 1×
Citations per year

Countries citing papers authored by Aruna Dharshan De Silva

Since Specialization
Citations

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

Fields of papers citing papers by Aruna Dharshan De Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aruna Dharshan De Silva. 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 Aruna Dharshan De Silva. The network helps show where Aruna Dharshan De Silva may publish in the future.

Co-authorship network of co-authors of Aruna Dharshan De Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Aruna Dharshan De Silva. A scholar is included among the top collaborators of Aruna Dharshan De Silva 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 Aruna Dharshan De Silva. Aruna Dharshan De Silva 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
#WorkIndexed citations
1 0
2 12
3 3
4 6
5 45
6 155
7 29
8 54
9 5
10 4
11 54
12 20
13 65
14 104
15 8
16
Comprehensive analysis of dengue virus-specific responses supports an HLA-linked protective role for CD8 + T cellsbreakdown →
454
17 55
18 53
19 94
20 103

About Aruna Dharshan De Silva

Aruna Dharshan De Silva is a scholar working on Infectious Diseases, Virology and Public Health, Environmental and Occupational Health, having authored 78 papers that have together received 4.1k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (42 papers), Viral Infections and Vectors (32 papers) and Malaria Research and Control (32 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Immunology (1.4k citations) and Public Health, Environmental and Occupational Health (1.7k citations). Aruna Dharshan De Silva has collaborated with scholars based in United States, Sri Lanka and United Kingdom. Frequent co-authors include Alessandro Sette, Daniela Weiskopf, Bjoern Peters, Jason Greenbaum, John Sidney, Aravinda M. de Silva, Sebastian Joyce, Jorg J. A. Calis, Can Keşmir and Michael A. Angelo. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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