Rafaela da Silva

3.3k total citations
65 papers, 2.1k citations indexed

About

Rafaela da Silva is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Rafaela da Silva has authored 65 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 18 papers in Molecular Biology and 15 papers in Physiology. Recurrent topics in Rafaela da Silva's work include Renin-Angiotensin System Studies (14 papers), Nitric Oxide and Endothelin Effects (11 papers) and Atherosclerosis and Cardiovascular Diseases (10 papers). Rafaela da Silva is often cited by papers focused on Renin-Angiotensin System Studies (14 papers), Nitric Oxide and Endothelin Effects (11 papers) and Atherosclerosis and Cardiovascular Diseases (10 papers). Rafaela da Silva collaborates with scholars based in Switzerland, Brazil and United States. Rafaela da Silva's co-authors include Michael Zaugg, Nikolaos Stergiopulos, Marcus Schaub, Thomas Pasch, François Mach, Fabrizio Montecucco, Robson A.S. Santos, Eliana Lucchinetti, Luciano dos Santos Aggum Capettini and Thomas Grampp and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Applied Physiology.

In The Last Decade

Rafaela da Silva

61 papers receiving 2.1k citations

Peers

Rafaela da Silva
Comparison fields: 5 of 111
  • Cardiology and Cardiovascular Medicine 644
  • Molecular Biology 597
  • Pathology and Forensic Medicine 511
  • Developmental Neuroscience 359
  • Immunology 311
Replace Ulrike B. Hendgen‐Cotta with:
Ulrike B. Hendgen‐Cotta Germany
Xianzhong Meng United States
Young Jun Oh South Korea
Yanqing Zhu United States
Giuseppe Alloatti Italy
Jaime A. Riquelme Chile
Neel R. Sodha United States
Emmanuel S. Buys United States
Krisztina Kupai Hungary
Hai Yu China
Ulrike B. Hendgen‐Cotta Germany View profile →
Citations per field, relative to Rafaela da Silva
Rafaela da Silva · 1×
Citations per year, relative to Rafaela da Silva
Rafaela da Silva · 1×

Countries citing papers authored by Rafaela da Silva

Since Specialization
Citations

This map shows the geographic impact of Rafaela 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 Rafaela 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 Rafaela da Silva more than expected).

Fields of papers citing papers by Rafaela da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafaela 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 Rafaela da Silva. The network helps show where Rafaela da Silva may publish in the future.

Co-authorship network of co-authors of Rafaela da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Rafaela da Silva. A scholar is included among the top collaborators of Rafaela 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 Rafaela da Silva. Rafaela da Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 9
5 7
6 60
7 6
8 25
9 21
10 37
11 1
12 128
13 37
14 24
15 26
16 8
17 11
18 10
19 15
20 129

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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