Cristina da Silva
- Molecular Biology
- Genetics top 10%
- Cardiology and Cardiovascular Medicine
- Cellular and Molecular Neuroscience
- Psychiatry and Mental health
- Co-authors
- Madhuri HegdeLora Jh BeanEphrem ChinKameryn M. ButlerAndrew EscaygJohn AlexanderAlice TannerChristin Collins
- Topics
- Genomics and Rare Diseases (8 papers)Cardiovascular Function and Risk Factors (5 papers)Genomic variations and chromosomal abnormalities (5 papers)
- Cited by
- GeneticsPsychiatry and Mental health
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAnnals of Neurology
- Partner nations
- United StatesSwedenItaly
In The Last Decade
Cristina da Silva
19 papers receiving 513 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 225
- Genetics 218
- Cardiology and Cardiovascular Medicine 90
- Cellular and Molecular Neuroscience 81
- Psychiatry and Mental health 68
Countries citing papers authored by Cristina da Silva
This map shows the geographic impact of Cristina da 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 Cristina da Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina da Silva more than expected).
Fields of papers citing papers by Cristina da Silva
This network shows the impact of papers produced by Cristina da 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 Cristina da Silva. The network helps show where Cristina da Silva may publish in the future.
Co-authorship network of co-authors of Cristina da Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina da Silva. A scholar is included among the top collaborators of Cristina da 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 Cristina da Silva. Cristina da 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 | 10 | |
| 2 | 37 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 67 | |
| 6 | 26 | |
| 7 | 16 | |
| 8 | 33 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 15 | |
| 12 | 123 | |
| 13 | 1 | |
| 14 | 72 | |
| 15 | 28 | |
| 16 | 39 | |
| 17 | Antimicrobial resistance in veterinary medicine: mechanisms and bacterial agents with the greatest impact on human health | 7 |
| 18 | 14 | |
| 19 | 9 |
About Cristina da Silva
Cristina da Silva is a scholar working on Aging, Cardiology and Cardiovascular Medicine and Genetics, having authored 19 papers that have together received 528 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (8 papers), Cardiovascular Function and Risk Factors (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). The work is most often cited by research in Genetics (218 citations), Genetics (63 citations) and Psychiatry and Mental health (68 citations). Cristina da Silva has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Madhuri Hegde, Lora Jh Bean, Ephrem Chin, Kameryn M. Butler, Andrew Escayg, John Alexander, Alice Tanner, Christin Collins, Alessandra Ferlini and Francesca Gualandi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of Neurology.
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.