Macarena Egea
Impact in
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Food Science top 10%
- Sensory Analysis and Statistical Methods
- Food Quality and Safety Studies
Papers in
-
- Meat and Animal Product Quality 25
- Animal Nutrition and Physiology 11
- Food Science 15
- Sensory Analysis and Statistical Methods 10
- Food Quality and Safety Studies 3
- Co-authors
- María Dolores Garrido (22 shared papers)María Belén Linares (22 shared papers)Pedro Luis Gomis Díaz (3 shared papers)B. Martı́nez (5 shared papers)Begoña Rubio (5 shared papers)Josefa Madrid (5 shared papers)Fuensanta Hernández (5 shared papers)D. Álvarez (4 shared papers)
In The Last Decade
Macarena Egea
26 papers receiving 280 citations
Peers
Comparison fields: 5 of 50
- Animal Science and Zoology 222
- Food Science 117
- Small Animals 34
- Biochemistry 13
- Agronomy and Crop Science 20
Countries citing papers authored by Macarena Egea
This map shows the geographic impact of Macarena Egea'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 Macarena Egea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Macarena Egea more than expected).
Fields of papers citing papers by Macarena Egea
This network shows the impact of papers produced by Macarena Egea. 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 Macarena Egea. The network helps show where Macarena Egea may publish in the future.
Co-authors
The 24 scholars most cited alongside Macarena Egea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 41 | |
| 2 | 2014 | 29 | |
| 3 | 2016 | 23 | |
| 4 | 2017 | 21 | |
| 5 | 2016 | 18 | |
| 6 | 2015 | 18 | |
| 7 | 2019 | 17 | |
| 8 | 2014 | 16 | |
| 9 | 2016 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2017 | 11 | |
| 12 | 2017 | 10 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2015 | 5 | |
| 17 | Effect of cooking methods (vacuum vs frying) on boar taint perception. | 2014 | 4 |
| 18 | 2022 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 3 |
About Macarena Egea
Macarena Egea is a scholar working on Animal Science and Zoology, Food Science, Nutrition and Dietetics, Biomedical Engineering and Agronomy and Crop Science, having authored 26 papers that have together received 285 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (25 papers), Animal Nutrition and Physiology (11 papers), Sensory Analysis and Statistical Methods (10 papers), Advanced Chemical Sensor Technologies (3 papers), Food Quality and Safety Studies (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Ruminant Nutrition and Digestive Physiology (2 papers). The work is most often cited by research in Animal Science and Zoology (222 citations), Food Science (117 citations), Small Animals (34 citations), Biochemistry (13 citations) and Agronomy and Crop Science (20 citations). Macarena Egea has collaborated with scholars based in Spain, Serbia and Slovenia. Frequent co-authors include María Dolores Garrido, María Belén Linares, Pedro Luis Gomis Díaz, B. Martı́nez, Begoña Rubio, Josefa Madrid, Fuensanta Hernández, D. Álvarez, M.A. Oliver and Maria Font‐i‐Furnols. Their work appears in journals such as Meat Science, Animals, Journal of the Science of Food and Agriculture, Livestock Science and Foods.
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.