Maria Selvaggi
- Animal Science and Zoology top 1%
- Genetics top 10%
- Agronomy and Crop Science top 2%
- Plant Science top 10%
- Molecular Biology
- Co-authors
- Cataldo DarioVincenzo TufarelliVito LaudadioRifat Ullah KhanZahra NikousefatShabana NazMoosa JavdaniMarco Di Dario
- Topics
- Genetic and phenotypic traits in livestock (20 papers)Animal Nutrition and Physiology (17 papers)Animal Genetics and Reproduction (8 papers)
In The Last Decade
Maria Selvaggi
59 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 100
- Animal Science and Zoology 482
- Genetics 340
- Agronomy and Crop Science 240
- Plant Science 189
- Molecular Biology 185
Countries citing papers authored by Maria Selvaggi
This map shows the geographic impact of Maria Selvaggi'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 Maria Selvaggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Selvaggi more than expected).
Fields of papers citing papers by Maria Selvaggi
This network shows the impact of papers produced by Maria Selvaggi. 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 Maria Selvaggi. The network helps show where Maria Selvaggi may publish in the future.
Co-authorship network of co-authors of Maria Selvaggi
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Selvaggi. A scholar is included among the top collaborators of Maria Selvaggi 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 Maria Selvaggi. Maria Selvaggi 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 | 4 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 4 | |
| 7 | 27 | |
| 8 | 5 | |
| 9 | 16 | |
| 10 | 9 | |
| 11 | 21 | |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | Feeding of safflower (Carthamus tintorius) cake in small ruminant total mixed rations: effects on growth traits and meat fatty acid composition. | 1 |
| 16 | 21 | |
| 17 | 18 | |
| 18 | 5 | |
| 19 | EFFECTS OF SAFFLOWER CAKE DIETARY SUPPLEMENTATION ON GROWTH ON GROWTH PERFORMANCES, CARCASS TRAITS AND MEAT QUALITY OF GARGANICA KIDS | 1 |
| 20 | 17 |
About Maria Selvaggi
Maria Selvaggi is a scholar working on Animal Science and Zoology, Agronomy and Crop Science and Pharmacology, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (20 papers), Animal Nutrition and Physiology (17 papers) and Animal Genetics and Reproduction (8 papers). The work is most often cited by research in Animal Science and Zoology (482 citations), Agronomy and Crop Science (240 citations) and Genetics (340 citations). Maria Selvaggi has collaborated with scholars based in Italy, Pakistan and Iran. Frequent co-authors include Cataldo Dario, Vincenzo Tufarelli, Vito Laudadio, Rifat Ullah Khan, Zahra Nikousefat, Shabana Naz, Moosa Javdani, Marco Di Dario, F. Ciotola and V. Peretti. Their work appears in journals such as Molecules, Critical Reviews in Food Science and Nutrition and Sustainability.
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.