Nina D’Vaz

1.3k total citations
31 papers, 938 citations indexed

About

Nina D’Vaz is a scholar working on Nutrition and Dietetics, Physiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Nina D’Vaz has authored 31 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nutrition and Dietetics, 9 papers in Physiology and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Nina D’Vaz's work include Birth, Development, and Health (8 papers), Asthma and respiratory diseases (8 papers) and Fatty Acid Research and Health (8 papers). Nina D’Vaz is often cited by papers focused on Birth, Development, and Health (8 papers), Asthma and respiratory diseases (8 papers) and Fatty Acid Research and Health (8 papers). Nina D’Vaz collaborates with scholars based in Australia, United States and Sweden. Nina D’Vaz's co-authors include Susan L. Prescott, S. J. Meldrum, Janet A. Dunstan, Meri K. Tulić, Jessica Metcalfe, Suzi McCarthy, Trevor A. Mori, Christina West, Karen Simmer and Kathryn Hird and has published in prestigious journals such as PEDIATRICS, Journal of Allergy and Clinical Immunology and Journal of Nutrition.

In The Last Decade

Nina D’Vaz

28 papers receiving 904 citations

Peers

Nina D’Vaz
Comparison fields: 5 of 81
  • Nutrition and Dietetics 349
  • Physiology 306
  • Immunology and Allergy 212
  • Pediatrics, Perinatology and Child Health 174
  • Immunology 141
Replace Sheelagh Martindale with:
Sheelagh Martindale United Kingdom
Sunna Thorsteinsdóttir Denmark
Nadia R. Fink Denmark
Elín Bjarnadóttir Denmark
Tine Marie Pedersen Denmark
Maria Vlachava United Kingdom
Merryn Netting Australia
Catrin Furuhjelm Sweden
Karen P Best Australia
Kate Maslin United Kingdom
Sheelagh Martindale United Kingdom View profile →
Citations per field, relative to Nina D’Vaz
Nina D’Vaz · 1×
Citations per year, relative to Nina D’Vaz
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Countries citing papers authored by Nina D’Vaz

Since Specialization
Citations

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

Fields of papers citing papers by Nina D’Vaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina D’Vaz. 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 Nina D’Vaz. The network helps show where Nina D’Vaz may publish in the future.

Co-authorship network of co-authors of Nina D’Vaz

This figure shows the co-authorship network connecting the top 25 collaborators of Nina D’Vaz. A scholar is included among the top collaborators of Nina D’Vaz 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 Nina D’Vaz. Nina D’Vaz 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
# Work Indexed citations
1 0
2 0
3 1
4 1
5 2
6 1
7 9
8 9
9 6
10 6
11 19
12 22
13 102
14 63
15 15
16 35
17 68
18 21
19 39
20 123

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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