Rosa Maria Silva
- Endocrinology top 0.5%
- Infectious Diseases top 5%
- Molecular Medicine top 2%
- Food Science top 5%
- Molecular Biology
- Co-authors
- Ana Carolina de Mello SantosTânia A. T. GomesFernanda Fernandes SantosR. KellerMargareth Z. PedrosoLuíz Rachid TrabulsiM R ToledoWaldir P. Elias
- Topics
- Escherichia coli research studies (29 papers)Antibiotic Resistance in Bacteria (15 papers)Viral gastroenteritis research and epidemiology (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEApplied and Environmental Microbiology
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Rosa Maria Silva
54 papers receiving 839 citations
Peers
Comparison fields: 5 of 97
- Endocrinology 524
- Infectious Diseases 278
- Molecular Medicine 225
- Food Science 174
- Molecular Biology 149
Countries citing papers authored by Rosa Maria Silva
This map shows the geographic impact of Rosa Maria 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 Rosa Maria Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Maria Silva more than expected).
Fields of papers citing papers by Rosa Maria Silva
This network shows the impact of papers produced by Rosa Maria 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 Rosa Maria Silva. The network helps show where Rosa Maria Silva may publish in the future.
Co-authorship network of co-authors of Rosa Maria Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Maria Silva. A scholar is included among the top collaborators of Rosa Maria 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 Rosa Maria Silva. Rosa Maria 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 | 3 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 112 | |
| 6 | 17 | |
| 7 | 22 | |
| 8 | 21 | |
| 9 | 21 | |
| 10 | 40 | |
| 11 | 30 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | 0 | |
| 20 | 0 |
About Rosa Maria Silva
Rosa Maria Silva is a scholar working on Endocrinology, Molecular Medicine and Infectious Diseases, having authored 58 papers that have together received 866 indexed citations. Recurring topics across this work include Escherichia coli research studies (29 papers), Antibiotic Resistance in Bacteria (15 papers) and Viral gastroenteritis research and epidemiology (11 papers). The work is most often cited by research in Endocrinology (524 citations), Molecular Medicine (225 citations) and Infectious Diseases (278 citations). Rosa Maria Silva has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Ana Carolina de Mello Santos, Tânia A. T. Gomes, Fernanda Fernandes Santos, R. Keller, Margareth Z. Pedroso, Luíz Rachid Trabulsi, M R Toledo, Waldir P. Elias, Antônio Carlos Campos Pignatari and Ivan Hong Jun Koh. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.
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.