Danielle da Silva Dias
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Epidemiology
- Co-authors
- Kátia De AngelisMaria Cláudia IrigoyenNathália BernardesAshim K. BagchiGauri AkolkarPawan K. SingalSarita GuptaTushar Patel
- Topics
- Heart Rate Variability and Autonomic Control (22 papers)Cardiovascular and exercise physiology (17 papers)Diet, Metabolism, and Disease (9 papers)
- Cited by
- Complementary and alternative medicineCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- BrazilUnited StatesArgentina
In The Last Decade
Danielle da Silva Dias
40 papers receiving 760 citations
Peers
Comparison fields: 5 of 90
- Cardiology and Cardiovascular Medicine 322
- Physiology 197
- Endocrinology, Diabetes and Metabolism 182
- Molecular Biology 138
- Epidemiology 125
Countries citing papers authored by Danielle da Silva Dias
This map shows the geographic impact of Danielle da Silva Dias'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 Danielle da Silva Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle da Silva Dias more than expected).
Fields of papers citing papers by Danielle da Silva Dias
This network shows the impact of papers produced by Danielle da Silva Dias. 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 Danielle da Silva Dias. The network helps show where Danielle da Silva Dias may publish in the future.
Co-authorship network of co-authors of Danielle da Silva Dias
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle da Silva Dias. A scholar is included among the top collaborators of Danielle da Silva Dias 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 Danielle da Silva Dias. Danielle da Silva Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | 21 | |
| 9 | 7 | |
| 10 | 28 | |
| 11 | 11 | |
| 12 | 13 | |
| 13 | 18 | |
| 14 | 16 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 28 | |
| 18 | 187 | |
| 19 | 10 | |
| 20 | 27 |
About Danielle da Silva Dias
Danielle da Silva Dias is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Behavioral Neuroscience, having authored 45 papers that have together received 773 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (22 papers), Cardiovascular and exercise physiology (17 papers) and Diet, Metabolism, and Disease (9 papers). The work is most often cited by research in Complementary and alternative medicine (124 citations), Cardiology and Cardiovascular Medicine (322 citations) and Endocrinology, Diabetes and Metabolism (182 citations). Danielle da Silva Dias has collaborated with scholars based in Brazil, United States and Argentina. Frequent co-authors include Kátia De Angelis, Maria Cláudia Irigoyen, Nathália Bernardes, Ashim K. Bagchi, Gauri Akolkar, Pawan K. Singal, Sarita Gupta, Tushar Patel, Susana Llesuy and Filipe Fernandes Conti. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.