Paola Crepaldi
- Genetics top 2%
- Molecular Biology
- Plant Science top 10%
- Agronomy and Crop Science top 5%
- Animal Science and Zoology top 5%
- Co-authors
- Paolo Ajmone‐MarsanL. NicolosoE. MilanesiRiccardo NegriniLicia ColliG. PagnaccoAndrea TalentiFabio Pilla
- Topics
- Genetic and phenotypic traits in livestock (44 papers)Genetic Mapping and Diversity in Plants and Animals (19 papers)Genetic diversity and population structure (15 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Paola Crepaldi
80 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Genetics 782
- Molecular Biology 265
- Plant Science 201
- Agronomy and Crop Science 195
- Animal Science and Zoology 179
Countries citing papers authored by Paola Crepaldi
This map shows the geographic impact of Paola Crepaldi'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 Paola Crepaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Crepaldi more than expected).
Fields of papers citing papers by Paola Crepaldi
This network shows the impact of papers produced by Paola Crepaldi. 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 Paola Crepaldi. The network helps show where Paola Crepaldi may publish in the future.
Co-authorship network of co-authors of Paola Crepaldi
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Crepaldi. A scholar is included among the top collaborators of Paola Crepaldi 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 Paola Crepaldi. Paola Crepaldi 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 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | 6 | |
| 10 | 21 | |
| 11 | 5 | |
| 12 | 47 | |
| 13 | Genetic and Phenotypic Characterization of African Goat Populations to Prioritize Conservation and Production Efforts for Small-holder Farmers in Sub-Saharan Africa | 15 |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 20 | |
| 17 | Preliminary association studies between EBVs and SNPs in 5 candidate genes for milk fat in goats. | 1 |
| 18 | 7 | |
| 19 | 7 | |
| 20 | 61 |
About Paola Crepaldi
Paola Crepaldi is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology, having authored 90 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (44 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers) and Genetic diversity and population structure (15 papers). The work is most often cited by research in Genetics (782 citations), Agronomy and Crop Science (195 citations) and Animal Science and Zoology (179 citations). Paola Crepaldi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Paolo Ajmone‐Marsan, L. Nicoloso, E. Milanesi, Riccardo Negrini, Licia Colli, G. Pagnacco, Andrea Talenti, Fabio Pilla, M. Corti and S. Frattini. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology 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.