Deborah Cléa Ruy
- Genetics top 10%
- Animal Science and Zoology top 5%
- Molecular Biology
- Endocrine and Autonomic Systems top 10%
- Plant Science
- Co-authors
- Kátia NonesLuiz Lehmann CoutinhoErica Elias BaronMônica Corrêa LedurA. S. A. M. T. MouraDavid W. BurtPatricia Santofimia‐CastañoGinés M. Salido
- Topics
- Genetic and phenotypic traits in livestock (9 papers)Animal Nutrition and Physiology (8 papers)Genetic Mapping and Diversity in Plants and Animals (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaFree Radical Biology and MedicineToxicology Letters
- Partner nations
- BrazilUnited KingdomSpain
In The Last Decade
Deborah Cléa Ruy
16 papers receiving 332 citations
Peers
Comparison fields: 5 of 61
- Genetics 212
- Animal Science and Zoology 141
- Molecular Biology 81
- Endocrine and Autonomic Systems 64
- Plant Science 45
Countries citing papers authored by Deborah Cléa Ruy
This map shows the geographic impact of Deborah Cléa Ruy'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 Deborah Cléa Ruy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah Cléa Ruy more than expected).
Fields of papers citing papers by Deborah Cléa Ruy
This network shows the impact of papers produced by Deborah Cléa Ruy. 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 Deborah Cléa Ruy. The network helps show where Deborah Cléa Ruy may publish in the future.
Co-authorship network of co-authors of Deborah Cléa Ruy
This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Cléa Ruy. A scholar is included among the top collaborators of Deborah Cléa Ruy 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 Deborah Cléa Ruy. Deborah Cléa Ruy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 57 | |
| 3 | 11 | |
| 4 | 14 | |
| 5 | 12 | |
| 6 | 13 | |
| 7 | 23 | |
| 8 | 50 | |
| 9 | 38 | |
| 10 | 0 | |
| 11 | Genetic diversity parameters in two experimental chicken populations designed for mapping quantitative trait loci. | 1 |
| 12 | Multi-trait analysis for QTL mapping in chicken. | 2 |
| 13 | 7 | |
| 14 | 75 | |
| 15 | 13 | |
| 16 | High level of polymorphism in the myostatin chicken gene. | 9 |
| 17 | 3 |
About Deborah Cléa Ruy
Deborah Cléa Ruy is a scholar working on Animal Science and Zoology, Endocrine and Autonomic Systems and Genetics, having authored 17 papers that have together received 350 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (9 papers), Animal Nutrition and Physiology (8 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). The work is most often cited by research in Animal Science and Zoology (141 citations), Endocrine and Autonomic Systems (64 citations) and Genetics (212 citations). Deborah Cléa Ruy has collaborated with scholars based in Brazil, United Kingdom and Spain. Frequent co-authors include Kátia Nones, Luiz Lehmann Coutinho, Erica Elias Baron, Mônica Corrêa Ledur, A. S. A. M. T. Moura, David W. Burt, Patricia Santofimia‐Castaño, Ginés M. Salido, Antonio González and Miguel Fernández‐Bermejo. Their work appears in journals such as SHILAP Revista de lepidopterología, Free Radical Biology and Medicine and Toxicology Letters.
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.