Anna Maria Guastella
- Genetics top 10%
- Agronomy and Crop Science top 5%
- Molecular Biology
- Food Science top 10%
- Animal Science and Zoology top 10%
- Co-authors
- Salvatore BordonaroDonata MarlettaAndrea CriscioneMarcella AvondoFlavio TidonaVincenzo CunsoloJavier CañónD. García
- Topics
- Genetic and phenotypic traits in livestock (13 papers)Genetic diversity and population structure (8 papers)Milk Quality and Mastitis in Dairy Cows (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Dairy ScienceInternational Dairy Journal
In The Last Decade
Anna Maria Guastella
26 papers receiving 456 citations
Peers
Comparison fields: 5 of 61
- Genetics 276
- Agronomy and Crop Science 162
- Molecular Biology 153
- Food Science 131
- Animal Science and Zoology 77
Countries citing papers authored by Anna Maria Guastella
This map shows the geographic impact of Anna Maria Guastella'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 Anna Maria Guastella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Maria Guastella more than expected).
Fields of papers citing papers by Anna Maria Guastella
This network shows the impact of papers produced by Anna Maria Guastella. 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 Anna Maria Guastella. The network helps show where Anna Maria Guastella may publish in the future.
Co-authorship network of co-authors of Anna Maria Guastella
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Maria Guastella. A scholar is included among the top collaborators of Anna Maria Guastella 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 Anna Maria Guastella. Anna Maria Guastella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 1 | |
| 3 | Gross composition and nutritional properties of donkey milk produced in Sicily. | 7 |
| 4 | 9 | |
| 5 | 14 | |
| 6 | 16 | |
| 7 | 15 | |
| 8 | 27 | |
| 9 | 1 | |
| 10 | 27 | |
| 11 | 50 | |
| 12 | 60 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 49 | |
| 17 | Sicilian cattle breeds and typical cheeses | 2 |
| 18 | 29 | |
| 19 | 12 | |
| 20 | 21 |
About Anna Maria Guastella
Anna Maria Guastella is a scholar working on Agronomy and Crop Science, Genetics and Immunology and Allergy, having authored 26 papers that have together received 476 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (13 papers), Genetic diversity and population structure (8 papers) and Milk Quality and Mastitis in Dairy Cows (5 papers). The work is most often cited by research in Agronomy and Crop Science (162 citations), Equine (18 citations) and Genetics (276 citations). Anna Maria Guastella has collaborated with scholars based in Italy, Norway and Spain. Frequent co-authors include Salvatore Bordonaro, Donata Marletta, Andrea Criscione, Marcella Avondo, Flavio Tidona, Vincenzo Cunsolo, Javier Cañón, D. García, S. Dunner and Rosaria Saletti. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and International Dairy Journal.
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.