L. Nicoloso
- Genetics top 5%
- Molecular Biology
- Animal Science and Zoology top 5%
- Agronomy and Crop Science top 10%
- Plant Science
- Co-authors
- Paola CrepaldiPaolo Ajmone‐MarsanE. MilanesiRiccardo NegriniLicia ColliJ. L. WilliamsLorraine ParisetS. Dunner
- Topics
- Genetic and phenotypic traits in livestock (18 papers)Genetic Mapping and Diversity in Plants and Animals (7 papers)Identification and Quantification in Food (6 papers)
In The Last Decade
L. Nicoloso
26 papers receiving 430 citations
Peers
Comparison fields: 5 of 46
- Genetics 343
- Molecular Biology 143
- Animal Science and Zoology 95
- Agronomy and Crop Science 75
- Plant Science 59
Countries citing papers authored by L. Nicoloso
This map shows the geographic impact of L. Nicoloso'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 L. Nicoloso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Nicoloso more than expected).
Fields of papers citing papers by L. Nicoloso
This network shows the impact of papers produced by L. Nicoloso. 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 L. Nicoloso. The network helps show where L. Nicoloso may publish in the future.
Co-authorship network of co-authors of L. Nicoloso
This figure shows the co-authorship network connecting the top 25 collaborators of L. Nicoloso. A scholar is included among the top collaborators of L. Nicoloso 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 L. Nicoloso. L. Nicoloso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 20 | |
| 8 | Associations between candidate gene polymorphisms and milk production traits in Alpine goats farmed in Italy | 0 |
| 9 | Genomic analysis for the valorization of an Italian local swine breed | 1 |
| 10 | Preliminary association studies between EBVs and SNPs in 5 candidate genes for milk fat in goats. | 1 |
| 11 | 1 | |
| 12 | 21 | |
| 13 | 10 | |
| 14 | 40 | |
| 15 | 51 | |
| 16 | 40 | |
| 17 | 1 | |
| 18 | 32 | |
| 19 | 0 | |
| 20 | 36 |
About L. Nicoloso
L. Nicoloso is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology, having authored 28 papers that have together received 448 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (18 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Identification and Quantification in Food (6 papers). The work is most often cited by research in Genetics (343 citations), Animal Science and Zoology (95 citations) and Agronomy and Crop Science (75 citations). L. Nicoloso has collaborated with scholars based in Italy, France and Poland. Frequent co-authors include Paola Crepaldi, Paolo Ajmone‐Marsan, E. Milanesi, Riccardo Negrini, Licia Colli, J. L. Williams, Lorraine Pariset, S. Dunner, Hubert H. Levéziel and N.P.P. Macciotta. Their work appears in journals such as PLoS ONE, Journal of Dairy Science and Theoretical and Applied Genetics.
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.