Pâmela A. Alexandre
- Genetics top 5%
- Molecular Biology
- Cancer Research top 10%
- Agronomy and Crop Science top 5%
- Animal Science and Zoology top 5%
- Co-authors
- Heidge FukumasuJosé Bento Sterman FerrazAntônio ReverterLaércio R. Porto-NetoMiguel Henrique de Almeida SantanaLuiz Lehmann CoutinhoJoanir Pereira ElerPaulo Roberto Leme
- Topics
- Genetic and phenotypic traits in livestock (36 papers)Genetic Mapping and Diversity in Plants and Animals (20 papers)Cancer-related molecular mechanisms research (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Pâmela A. Alexandre
55 papers receiving 768 citations
Peers
Comparison fields: 5 of 83
- Genetics 482
- Molecular Biology 263
- Cancer Research 187
- Agronomy and Crop Science 152
- Animal Science and Zoology 133
Countries citing papers authored by Pâmela A. Alexandre
This map shows the geographic impact of Pâmela A. Alexandre'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 Pâmela A. Alexandre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pâmela A. Alexandre more than expected).
Fields of papers citing papers by Pâmela A. Alexandre
This network shows the impact of papers produced by Pâmela A. Alexandre. 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 Pâmela A. Alexandre. The network helps show where Pâmela A. Alexandre may publish in the future.
Co-authorship network of co-authors of Pâmela A. Alexandre
This figure shows the co-authorship network connecting the top 25 collaborators of Pâmela A. Alexandre. A scholar is included among the top collaborators of Pâmela A. Alexandre 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 Pâmela A. Alexandre. Pâmela A. Alexandre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 22 | |
| 13 | 23 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 14 | |
| 18 | Relationship between hypothalamic transcriptome and feed efficiency in Bos indicus beef cattle | 1 |
| 19 | 14 | |
| 20 | 11 |
About Pâmela A. Alexandre
Pâmela A. Alexandre is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology, having authored 61 papers that have together received 785 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (36 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Cancer-related molecular mechanisms research (11 papers). The work is most often cited by research in Genetics (482 citations), Agronomy and Crop Science (152 citations) and Animal Science and Zoology (133 citations). Pâmela A. Alexandre has collaborated with scholars based in Australia, Brazil and Spain. Frequent co-authors include Heidge Fukumasu, José Bento Sterman Ferraz, Antônio Reverter, Laércio R. Porto-Neto, Miguel Henrique de Almeida Santana, Luiz Lehmann Coutinho, Joanir Pereira Eler, Paulo Roberto Leme, José Fernando Garcia and Yuri Tani Utsunomiya. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.