Valeria Vasta
- Molecular Biology top 5%
- Animal Science and Zoology top 0.2%
- Immunology top 2%
- Agronomy and Crop Science top 0.5%
- Genetics top 5%
- Co-authors
- Alessandro PrioloJoseph A. BeavoVincent C. ManganielloMassimiliano LanzaJeffrey P. RasmussenMarc A. GavinJason D. FontenotAlexander Y. Rudensky
- Topics
- Meat and Animal Product Quality (17 papers)Metabolism, Diabetes, and Cancer (11 papers)Ruminant Nutrition and Digestive Physiology (10 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Valeria Vasta
80 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.5k
- Animal Science and Zoology 1.1k
- Immunology 956
- Agronomy and Crop Science 906
- Genetics 456
Countries citing papers authored by Valeria Vasta
This map shows the geographic impact of Valeria Vasta'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 Valeria Vasta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valeria Vasta more than expected).
Fields of papers citing papers by Valeria Vasta
This network shows the impact of papers produced by Valeria Vasta. 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 Valeria Vasta. The network helps show where Valeria Vasta may publish in the future.
Co-authorship network of co-authors of Valeria Vasta
This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Vasta. A scholar is included among the top collaborators of Valeria Vasta 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 Valeria Vasta. Valeria Vasta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Invited review: Plant polyphenols and rumen microbiota responsible for fatty acid biohydrogenation, fiber digestion, and methane emission: Experimental evidence and methodological approachesbreakdown → | 294 |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 43 | |
| 6 | 13 | |
| 7 | 55 | |
| 8 | 6 | |
| 9 | 29 | |
| 10 | 37 | |
| 11 | 9 | |
| 12 | 22 | |
| 13 | 84 | |
| 14 | 15 | |
| 15 | 19 | |
| 16 | 11 | |
| 17 | 8 | |
| 18 | 14 | |
| 19 | 1 | |
| 20 | 11 |
About Valeria Vasta
Valeria Vasta is a scholar working on Animal Science and Zoology, Agronomy and Crop Science and Clinical Biochemistry, having authored 80 papers that have together received 4.3k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (17 papers), Metabolism, Diabetes, and Cancer (11 papers) and Ruminant Nutrition and Digestive Physiology (10 papers). The work is most often cited by research in Animal Science and Zoology (1.1k citations), Agronomy and Crop Science (906 citations) and Immunology (956 citations). Valeria Vasta has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alessandro Priolo, Joseph A. Beavo, Vincent C. Manganiello, Massimiliano Lanza, Jeffrey P. Rasmussen, Marc A. Gavin, Jason D. Fontenot, Alexander Y. Rudensky, Giuseppe Luciano and Paola Bruni. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.