Sílvia Carvalho
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Surgery
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Fernando SchmittFernanda MilaneziYosef YardenMattia LauriolaGabriele D’UvaDavid KainElad BassatAlla Aharonov
- Topics
- HER2/EGFR in Cancer Research (10 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)Glycosylation and Glycoproteins Research (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- IsraelPortugalUnited States
In The Last Decade
Sílvia Carvalho
35 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.1k
- Oncology 516
- Cancer Research 429
- Surgery 228
- Pulmonary and Respiratory Medicine 212
Countries citing papers authored by Sílvia Carvalho
This map shows the geographic impact of Sílvia Carvalho'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 Sílvia Carvalho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sílvia Carvalho more than expected).
Fields of papers citing papers by Sílvia Carvalho
This network shows the impact of papers produced by Sílvia Carvalho. 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 Sílvia Carvalho. The network helps show where Sílvia Carvalho may publish in the future.
Co-authorship network of co-authors of Sílvia Carvalho
This figure shows the co-authorship network connecting the top 25 collaborators of Sílvia Carvalho. A scholar is included among the top collaborators of Sílvia Carvalho 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 Sílvia Carvalho. Sílvia Carvalho 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 | 0 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 24 | |
| 6 | 34 | |
| 7 | 4 | |
| 8 | 47 | |
| 9 | 38 | |
| 10 | ERBB2 triggers mammalian heart regeneration by promoting cardiomyocyte dedifferentiation and proliferationbreakdown → | 497 |
| 11 | 49 | |
| 12 | 6 | |
| 13 | 25 | |
| 14 | 82 | |
| 15 | 48 | |
| 16 | 29 | |
| 17 | 42 | |
| 18 | 207 | |
| 19 | 120 | |
| 20 | 38 |
About Sílvia Carvalho
Sílvia Carvalho is a scholar working on Oncology, Neurology and Molecular Biology, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Cancer Research (429 citations), Oncology (516 citations) and Molecular Biology (1.1k citations). Sílvia Carvalho has collaborated with scholars based in Israel, Portugal and United States. Frequent co-authors include Fernando Schmitt, Fernanda Milanezi, Yosef Yarden, Mattia Lauriola, Gabriele D’Uva, David Kain, Elad Bassat, Alla Aharonov, Tal Konfino and Marina Lysenko. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.