Dane A. De Silva

566 citations
29 papers · 362 · h-index 10

Impact in

Papers in

Dane A. De Silva

29 papers receiving 341 citations

Peers

Dane A. De Silva
Comparison fields: 5 of 55
  • Obstetrics and Gynecology 131
  • Pediatrics, Perinatology and Child Health 113
  • Epidemiology 77
  • Public Health, Environmental and Occupational Health 44
  • Pulmonary and Respiratory Medicine 40
Replace Debbie Jacques with:
Debbie Jacques United States
D.N. Papatsonis Netherlands
Anna Karin Edstedt Bonamy Sweden
Mélanie Durox France
E. Chan New Zealand
Celeste Durnwald United States
Jayson Potts Canada
Andrew Gerson United States
Cecelia O’Brien Australia
Jiji Elizabeth Mathews India
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Citations per field
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Citations per year

Countries citing papers authored by Dane A. De Silva

Since Specialization
Citations

This map shows the geographic impact of Dane A. 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 Dane A. 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 Dane A. De Silva more than expected).

Fields of papers citing papers by Dane A. De Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dane A. De Silva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dane A. De Silva Line = papers co-authored together Dane A. De Silva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201787
2 201940
3 201428
4 201824
5 201523
6 201917
7 201816
8 201415
9 201711
10 201710
11 20149
12 20229
13 20138
14 20198
15 20168
16 20237
17 20157
18 20137
19 20176
20 20165

About Dane A. De Silva

Dane A. De Silva is a scholar working on Epidemiology, General Health Professions, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 29 papers that have together received 362 indexed citations. Recurring topics across this work include Preterm Birth and Chorioamnionitis (5 papers), Pregnancy and preeclampsia studies (5 papers), Breastfeeding Practices and Influences (4 papers), Food Security and Health in Diverse Populations (3 papers), Racial and Ethnic Identity Research (2 papers), Birth, Development, and Health (2 papers), Chronic Kidney Disease and Diabetes (1 paper) and Suicide and Self-Harm Studies (1 paper). The work is most often cited by research in Obstetrics and Gynecology (131 citations), Pediatrics, Perinatology and Child Health (113 citations), Epidemiology (77 citations), Public Health, Environmental and Occupational Health (44 citations) and Pulmonary and Respiratory Medicine (40 citations). Dane A. De Silva has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Peter von Dadelszen, Laura A. Magee, Anne Synnes, Marie E. Thoma, Tang Lee, Diane Sawchuck, Beth A. Payne, Ugochinyere Vivian Ukah, Helen Brown and Jennifer A. Hutcheon. Their work appears in journals such as Journal of Obstetrics and Gynaecology Canada, Pregnancy Hypertension, BMC Pregnancy and Childbirth, Paediatric and Perinatal Epidemiology and Breastfeeding Medicine.

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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