Rafael G. da Silva
- Molecular Biology top 10%
- Materials Chemistry
- Organic Chemistry top 10%
- Epidemiology
- Physiology top 2%
- Co-authors
- Vern L. SchrammLuiz Augusto BassoDiógenes Santiago SantosJosé R. CorrêaBrenno A. D. NetoMário Sérgio PalmaAndrew S. MurkinFernanda Canduri
- Topics
- Biochemical and Molecular Research (33 papers)Enzyme Structure and Function (15 papers)Cytomegalovirus and herpesvirus research (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- BrazilUnited KingdomUnited States
In The Last Decade
Rafael G. da Silva
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 729
- Materials Chemistry 300
- Organic Chemistry 194
- Epidemiology 168
- Physiology 151
Countries citing papers authored by Rafael G. da Silva
This map shows the geographic impact of Rafael G. 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 Rafael G. 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 Rafael G. da Silva more than expected).
Fields of papers citing papers by Rafael G. da Silva
This network shows the impact of papers produced by Rafael G. 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 Rafael G. da Silva. The network helps show where Rafael G. da Silva may publish in the future.
Co-authorship network of co-authors of Rafael G. da Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael G. da Silva. A scholar is included among the top collaborators of Rafael G. 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 Rafael G. da Silva. Rafael G. 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 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 13 | |
| 5 | 10 | |
| 6 | 38 | |
| 7 | 19 | |
| 8 | 111 | |
| 9 | 57 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 12 | |
| 13 | 22 | |
| 14 | 31 | |
| 15 | 34 | |
| 16 | 28 | |
| 17 | 45 | |
| 18 | 42 | |
| 19 | 38 | |
| 20 | 35 |
About Rafael G. da Silva
Rafael G. da Silva is a scholar working on Physiology, Molecular Medicine and Molecular Biology, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (33 papers), Enzyme Structure and Function (15 papers) and Cytomegalovirus and herpesvirus research (9 papers). The work is most often cited by research in Physiology (151 citations), Molecular Biology (729 citations) and Infectious Diseases (135 citations). Rafael G. da Silva has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include Vern L. Schramm, Luiz Augusto Basso, Diógenes Santiago Santos, José R. Corrêa, Brenno A. D. Neto, Mário Sérgio Palma, Andrew S. Murkin, Fernanda Canduri, Walter Filgueira de Azevedo and Maria Anita Mendes. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.