Virginia C. Resconi
- Animal Science and Zoology top 0.5%
- Meat and Animal Product Quality 28
- Animal Nutrition and Physiology 11
- Food Science top 2%
- Sensory Analysis and Statistical Methods 5
- Fermentation and Sensory Analysis 4
- Nutrition and Dietetics top 5%
- Agronomy and Crop Science top 5%
- Ruminant Nutrition and Digestive Physiology 6
-
- Advanced Chemical Sensor Technologies 7
-
- Animal Behavior and Welfare Studies 4
-
- Genetic and phenotypic traits in livestock 3
Virginia C. Resconi
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Animal Science and Zoology 910
- Food Science 458
- Nutrition and Dietetics 174
- Agronomy and Crop Science 110
- Tourism, Leisure and Hospitality Management 14
Countries citing papers authored by Virginia C. Resconi
This map shows the geographic impact of Virginia C. Resconi'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 Virginia C. Resconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia C. Resconi more than expected).
Fields of papers citing papers by Virginia C. Resconi
This network shows the impact of papers produced by Virginia C. Resconi. 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 Virginia C. Resconi. The network helps show where Virginia C. Resconi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Virginia C. Resconi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2020 | 18 | |
| 3 | 2019 | 11 | |
| 4 | 2019 | 3 | |
| 5 | Wine by-products feeding on ewe physiological traits, milk quality and the meat quality of their suckling lambs | 2018 | 2 |
| 6 | 2018 | 62 | |
| 7 | 2017 | 64 | |
| 8 | 2017 | 127 | |
| 9 | 2016 | 30 | |
| 10 | 2016 | 20 | |
| 11 | 2015 | 41 | |
| 12 | 2015 | 1 | |
| 13 | 2015 | 20 | |
| 14 | Effect of castration age, protein level and lysine/methionine ratio in the diet, on meat composition of Friesian steers intensively reared. | 2013 | 2 |
| 15 | 2013 | 98 | |
| 16 | 2012 | 33 | |
| 17 | 2011 | 74 | |
| 18 | 2010 | 44 | |
| 19 | 2010 | 87 | |
| 20 | 2009 | 81 |
About Virginia C. Resconi
Virginia C. Resconi is a scholar working on Animal Science and Zoology, Tourism, Leisure and Hospitality Management, Food Science, Agronomy and Crop Science and Small Animals, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (28 papers), Animal Nutrition and Physiology (11 papers), Advanced Chemical Sensor Technologies (7 papers), Ruminant Nutrition and Digestive Physiology (6 papers), Sensory Analysis and Statistical Methods (5 papers), Fermentation and Sensory Analysis (4 papers), Animal Behavior and Welfare Studies (4 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Animal Science and Zoology (910 citations), Food Science (458 citations), Nutrition and Dietetics (174 citations), Agronomy and Crop Science (110 citations) and Tourism, Leisure and Hospitality Management (14 citations). Virginia C. Resconi has collaborated with scholars based in Spain, Ireland and Brazil. Frequent co-authors include M.M. Campo, Ana Escudero, C. Sañudo, Vicente Ferreira, F. Montossi, Maeve Henchion, Mary McCarthy, Derek F. Keenan, Ruth M. Hamill and Mónica Bueno. Their work appears in journals such as Meat Science, Food Chemistry, Journal of Food Composition and Analysis, Food Research International and Journal of Food Science.
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.