Aline Maria da Silva
- Molecular Biology top 10%
- Plant Science top 5%
- Ecology top 5%
- Genetics top 10%
- Cancer Research top 10%
- Co-authors
- João Carlos SetúbalSergio Verjovski‐AlmeidaPaulo A. ZainiDeyvid AmgartenSteven E. LindowCélia R. S. GarciaFlávio H. BeraldoLayla Farage Martins
- Topics
- Plant Pathogenic Bacteria Studies (16 papers)Phytoplasmas and Hemiptera pathogens (16 papers)Genomics and Phylogenetic Studies (15 papers)
- Partner nations
- BrazilUnited StatesPortugal
In The Last Decade
Aline Maria da Silva
88 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 1.2k
- Plant Science 640
- Ecology 354
- Genetics 237
- Cancer Research 182
Countries citing papers authored by Aline Maria da Silva
This map shows the geographic impact of Aline Maria 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 Aline Maria 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 Aline Maria da Silva more than expected).
Fields of papers citing papers by Aline Maria da Silva
This network shows the impact of papers produced by Aline Maria 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 Aline Maria da Silva. The network helps show where Aline Maria da Silva may publish in the future.
Co-authorship network of co-authors of Aline Maria da Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Aline Maria da Silva. A scholar is included among the top collaborators of Aline Maria 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 Aline Maria da Silva. Aline Maria 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 21 | |
| 11 | EDUCAÇÃO EM SAÚDE: ORIENTAÇÕES POR MEIO DA BIOSSEGURANÇA PARA O COMBATE AO NOVO CORONAVÍRUS (COVID-19) | 1 |
| 12 | 10 | |
| 13 | 103 | |
| 14 | 29 | |
| 15 | 12 | |
| 16 | 113 | |
| 17 | 15 | |
| 18 | 47 | |
| 19 | 71 | |
| 20 | 112 |
About Aline Maria da Silva
Aline Maria da Silva is a scholar working on Horticulture, Microbiology and Endocrinology, having authored 95 papers that have together received 2.4k indexed citations. Recurring topics across this work include Plant Pathogenic Bacteria Studies (16 papers), Phytoplasmas and Hemiptera pathogens (16 papers) and Genomics and Phylogenetic Studies (15 papers). The work is most often cited by research in Horticulture (91 citations), Endocrinology (108 citations) and Microbiology (124 citations). Aline Maria da Silva has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include João Carlos Setúbal, Sergio Verjovski‐Almeida, Paulo A. Zaini, Deyvid Amgarten, Steven E. Lindow, Célia R. S. Garcia, Flávio H. Beraldo, Layla Farage Martins, Eduardo M. Reis and Lucas P. P. Braga. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Bioinformatics.
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.