D. Álvarez
Impact in
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Food Science top 5%
- Proteins in Food Systems
- Sensory Analysis and Statistical Methods
- Food Chemistry and Fat Analysis
Papers in
-
- Meat and Animal Product Quality 13
- Animal Nutrition and Physiology 3
-
- Reproductive tract infections research 5
- Co-authors
- Shai BarbutM. CastilloYouling L. XiongF. A. PayneMaría Dolores Pitarch GarridoMaría Dolores GarridoGema NietoSancho Bañón
- Journals
- Meat Science (6 papers)Animals (2 papers)Journal of Food Engineering (2 papers)Zoonoses and Public Health (1 paper)Food Research International (1 paper)
- Partner nations
- SpainUnited StatesPanama
In The Last Decade
D. Álvarez
26 papers receiving 541 citations
Peers
Comparison fields: 5 of 67
- Animal Science and Zoology 353
- Food Science 296
- Microbiology 50
- Nutrition and Dietetics 113
- Biochemistry 25
Countries citing papers authored by D. Álvarez
This map shows the geographic impact of D. Álvarez'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 D. Álvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Álvarez more than expected).
Fields of papers citing papers by D. Álvarez
This network shows the impact of papers produced by D. Álvarez. 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 D. Álvarez. The network helps show where D. Álvarez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Álvarez, 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 | 2023 | 3 | |
| 2 | 2022 | 3 | |
| 3 | 2019 | 9 | |
| 4 | 2019 | 5 | |
| 5 | 2019 | 4 | |
| 6 | 2017 | 4 | |
| 7 | 2017 | 21 | |
| 8 | 2015 | 29 | |
| 9 | 2015 | 5 | |
| 10 | 2015 | 10 | |
| 11 | Effect of cooking methods (vacuum vs frying) on boar taint perception. | 2014 | 4 |
| 12 | 2013 | 126 | |
| 13 | 2012 | 91 | |
| 14 | 2011 | 57 | |
| 15 | 2009 | 2 | |
| 16 | 2009 | 56 | |
| 17 | 2008 | 9 | |
| 18 | 2008 | 19 | |
| 19 | 2008 | 25 | |
| 20 | 2005 | 22 |
About D. Álvarez
D. Álvarez is a scholar working on Animal Science and Zoology, Microbiology, Analytical Chemistry, Food Science and Agronomy and Crop Science, having authored 26 papers that have together received 566 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (13 papers), Spectroscopy and Chemometric Analyses (7 papers), Reproductive tract infections research (5 papers), Reproductive Physiology in Livestock (5 papers), Reproductive System and Pregnancy (5 papers), Advanced Chemical Sensor Technologies (4 papers), Proteins in Food Systems (3 papers) and Animal Nutrition and Physiology (3 papers). The work is most often cited by research in Animal Science and Zoology (353 citations), Food Science (296 citations), Microbiology (50 citations), Nutrition and Dietetics (113 citations) and Biochemistry (25 citations). D. Álvarez has collaborated with scholars based in Spain, United States and Panama. Frequent co-authors include Shai Barbut, M. Castillo, Youling L. Xiong, F. A. Payne, María Dolores Pitarch Garrido, María Dolores Garrido, Gema Nieto, Sancho Bañón, J. Laencina and Pedro Luis Gomis Díaz. Their work appears in journals such as Meat Science, Animals, Journal of Food Engineering, Zoonoses and Public Health and Food Research International.
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.