Elisa Peripolli
- Genetics top 2%
- Animal Science and Zoology top 2%
- Cancer Research top 10%
- Agronomy and Crop Science top 5%
- Plant Science
- Co-authors
- Fernando BaldiDanísio Prado MunariMarcos Vinícius Gualberto Barbosa da SilvaR. IrgangA.L.F. LimaNedenia Bonvino StafuzzaRaysildo Barbosa LôboMariana Piatto Berton
- Topics
- Genetic and phenotypic traits in livestock (44 papers)Genetic Mapping and Diversity in Plants and Animals (27 papers)Cancer-related molecular mechanisms research (12 papers)
- Partner nations
- BrazilUnited StatesUruguay
In The Last Decade
Elisa Peripolli
46 papers receiving 908 citations
Peers
Comparison fields: 5 of 48
- Genetics 824
- Animal Science and Zoology 229
- Cancer Research 195
- Agronomy and Crop Science 187
- Plant Science 134
Countries citing papers authored by Elisa Peripolli
This map shows the geographic impact of Elisa Peripolli'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 Elisa Peripolli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisa Peripolli more than expected).
Fields of papers citing papers by Elisa Peripolli
This network shows the impact of papers produced by Elisa Peripolli. 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 Elisa Peripolli. The network helps show where Elisa Peripolli may publish in the future.
Co-authorship network of co-authors of Elisa Peripolli
This figure shows the co-authorship network connecting the top 25 collaborators of Elisa Peripolli. A scholar is included among the top collaborators of Elisa Peripolli 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 Elisa Peripolli. Elisa Peripolli 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 | 10 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 23 | |
| 13 | 13 | |
| 14 | Genetic evaluation using single-step genomic best linear unbiased predictor (ssGBLUP) in Montana breed | 2 |
| 15 | 131 | |
| 16 | 17 | |
| 17 | 3 | |
| 18 | 43 | |
| 19 | 16 | |
| 20 | 42 |
About Elisa Peripolli
Elisa Peripolli is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology, having authored 47 papers that have together received 918 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (44 papers), Genetic Mapping and Diversity in Plants and Animals (27 papers) and Cancer-related molecular mechanisms research (12 papers). The work is most often cited by research in Genetics (824 citations), Animal Science and Zoology (229 citations) and Agronomy and Crop Science (187 citations). Elisa Peripolli has collaborated with scholars based in Brazil, United States and Uruguay. Frequent co-authors include Fernando Baldi, Danísio Prado Munari, Marcos Vinícius Gualberto Barbosa da Silva, R. Irgang, A.L.F. Lima, Nedenia Bonvino Stafuzza, Raysildo Barbosa Lôbo, Mariana Piatto Berton, Marco Antônio Machado and J. C. do C. Panetto. Their work appears in journals such as PLoS ONE, Journal of Animal Science and BMC Genomics.
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.