Debra de Silva

60 total papers · 4.7k total citations
29 papers, 1.0k citations indexed

About

Debra de Silva is a scholar working on General Health Professions, Immunology and Allergy and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Debra de Silva has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in General Health Professions, 11 papers in Immunology and Allergy and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Debra de Silva's work include Food Allergy and Anaphylaxis Research (11 papers), Primary Care and Health Outcomes (8 papers) and Eosinophilic Esophagitis (4 papers). Debra de Silva is often cited by papers focused on Food Allergy and Anaphylaxis Research (11 papers), Primary Care and Health Outcomes (8 papers) and Eosinophilic Esophagitis (4 papers). Debra de Silva collaborates with scholars based in United Kingdom, Italy and Germany. Debra de Silva's co-authors include Aziz Sheikh, Sukhmeet S. Panesar, Antonella Muraro, Graham Roberts, Susanne Halken, Syed Hasan Arshad, Carina Venter, Kate Grimshaw, A. E. J. Dubois and Liam O’Mahony and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Geriatrics Society and Allergy.

In The Last Decade

Debra de Silva

25 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Debra de Silva 517 242 220 178 168 29 1.0k
David Luyt 563 1.1× 390 1.6× 275 1.3× 29 0.2× 61 0.4× 43 1.1k
Jenny van Odijk 457 0.9× 174 0.7× 136 0.6× 21 0.1× 50 0.3× 21 824
Gillian Vance 307 0.6× 239 1.0× 120 0.5× 133 0.7× 17 0.1× 48 800
Tristram Ingham 125 0.2× 392 1.6× 98 0.4× 106 0.6× 23 0.1× 46 1.2k
L. Keoki Williams 122 0.2× 277 1.1× 61 0.3× 132 0.7× 27 0.2× 28 1.0k
Claudia Gore 538 1.0× 301 1.2× 161 0.7× 47 0.3× 41 0.2× 35 899
Belinda Bateman 484 0.9× 212 0.9× 186 0.8× 72 0.4× 11 0.1× 20 1.0k
Ross Kerridge 49 0.1× 136 0.6× 295 1.3× 234 1.3× 29 0.2× 29 1.1k
Ian Town 75 0.1× 264 1.1× 80 0.4× 85 0.5× 25 0.1× 27 1.2k
H. A. Smit 232 0.4× 392 1.6× 31 0.1× 39 0.2× 29 0.2× 21 1.2k

Countries citing papers authored by Debra de Silva

Since Specialization
Citations

This map shows the geographic impact of Debra 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 Debra 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 Debra de Silva more than expected).

Fields of papers citing papers by Debra de Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra 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 Debra de Silva. The network helps show where Debra de Silva may publish in the future.

Co-authorship network of co-authors of Debra de Silva

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

All Works

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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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