Fernando H. Biase
- Molecular Biology
- Genetics top 10%
- Public Health, Environmental and Occupational Health top 10%
- Agronomy and Crop Science top 2%
- Cancer Research top 10%
- Co-authors
- Sheng ZhongXiaoyi CaoSarah E. MooreyFlávio Vieira MeirellesPengfei YuMaurício Machaim FrancoLuíz Ricardo GoulartJúlio César de Carvalho Balieiro
- Topics
- Reproductive Biology and Fertility (19 papers)Genetic and phenotypic traits in livestock (16 papers)Reproductive Physiology in Livestock (13 papers)
- Partner nations
- United StatesBrazilFrance
In The Last Decade
Fernando H. Biase
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 563
- Genetics 313
- Public Health, Environmental and Occupational Health 265
- Agronomy and Crop Science 237
- Cancer Research 166
Countries citing papers authored by Fernando H. Biase
This map shows the geographic impact of Fernando H. Biase'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 Fernando H. Biase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando H. Biase more than expected).
Fields of papers citing papers by Fernando H. Biase
This network shows the impact of papers produced by Fernando H. Biase. 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 Fernando H. Biase. The network helps show where Fernando H. Biase may publish in the future.
Co-authorship network of co-authors of Fernando H. Biase
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando H. Biase. A scholar is included among the top collaborators of Fernando H. Biase 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 Fernando H. Biase. Fernando H. Biase 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 | 5 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 30 | |
| 10 | 17 | |
| 11 | 44 | |
| 12 | 5 | |
| 13 | 124 | |
| 14 | 26 | |
| 15 | 218 | |
| 16 | 16 | |
| 17 | 24 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | Perspectivas para as técnicas de FIV, clonagem e transgenia | 0 |
About Fernando H. Biase
Fernando H. Biase is a scholar working on Agronomy and Crop Science, Reproductive Medicine and Genetics, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (19 papers), Genetic and phenotypic traits in livestock (16 papers) and Reproductive Physiology in Livestock (13 papers). The work is most often cited by research in Agronomy and Crop Science (237 citations), Genetics (313 citations) and Cancer Research (166 citations). Fernando H. Biase has collaborated with scholars based in United States, Brazil and France. Frequent co-authors include Sheng Zhong, Xiaoyi Cao, Sarah E. Moorey, Flávio Vieira Meirelles, Pengfei Yu, Maurício Machaim Franco, Luíz Ricardo Goulart, Júlio César de Carvalho Balieiro, Jia Lu and Soren P. Rodning. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.