Dane A. De Silva
- Pediatrics, Perinatology and Child Health top 5%
- Obstetrics and Gynecology top 5%
- Pulmonary and Respiratory Medicine
- Epidemiology
- Public Health, Environmental and Occupational Health
- Co-authors
- Peter von DadelszenLaura A. MageeAnne SynnesMarie E. ThomaTang LeeDiane SawchuckBeth A. PayneUgochinyere Vivian Ukah
- Topics
- Pregnancy and preeclampsia studies (9 papers)Preterm Birth and Chorioamnionitis (7 papers)Maternal and fetal healthcare (6 papers)
- Cited by
- Obstetrics and GynecologyPediatrics, Perinatology and Child HealthPublic Health, Environmental and Occupational Health
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Dane A. De Silva
28 papers receiving 324 citations
Peers
Comparison fields: 5 of 60
- Pediatrics, Perinatology and Child Health 213
- Obstetrics and Gynecology 177
- Pulmonary and Respiratory Medicine 80
- Epidemiology 79
- Public Health, Environmental and Occupational Health 74
Countries citing papers authored by Dane A. De Silva
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
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-authorship network of co-authors of Dane A. De Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Dane A. De Silva. A scholar is included among the top collaborators of Dane A. 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 Dane A. De Silva. Dane A. De Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | Psychological Symptoms as Mediators in the Association between Discrimination and Health among South Asian Americans. | 2 |
| 6 | 36 | |
| 7 | 24 | |
| 8 | 6 | |
| 9 | 85 | |
| 10 | 12 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 23 | |
| 17 | 15 | |
| 18 | 9 | |
| 19 | 26 | |
| 20 | 7 |
About Dane A. De Silva
Dane A. De Silva is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Nephrology, having authored 29 papers that have together received 350 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (9 papers), Preterm Birth and Chorioamnionitis (7 papers) and Maternal and fetal healthcare (6 papers). The work is most often cited by research in Obstetrics and Gynecology (177 citations), Pediatrics, Perinatology and Child Health (213 citations) and Public Health, Environmental and Occupational Health (74 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, Jennifer A. Hutcheon and Helen Brown. Their work appears in journals such as PLoS ONE, Journal of Nutrition and Implementation Science.
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.