D. Álvarez

757 citations
26 papers · 566 · h-index 12

Impact in

    • Meat and Animal Product Quality
    • Animal Nutrition and Physiology
    • Proteins in Food Systems
    • Sensory Analysis and Statistical Methods
    • Food Chemistry and Fat Analysis

Papers in

D. Álvarez

26 papers receiving 541 citations

Peers

D. Álvarez
Comparison fields: 5 of 67
  • Animal Science and Zoology 353
  • Food Science 296
  • Microbiology 50
  • Nutrition and Dietetics 113
  • Biochemistry 25
Replace A. S. De Mello with:
A. S. De Mello United States
Ane Knarreborg Denmark
Guenter Klein Germany
C. Pennacchia Italy
Komala Arsi United States
A.S. Barreto Portugal
Maria Francesca Iulietto Italy
Rafael Gustavo Hermes Brazil
Gemma González‐Ortiz United Kingdom
Janghan Choi United States
D. Álvarez relative to A. S. De Mello United States A. S. De Mello's profile →
Citations per field
00.5×
A. S. De Mello · 1×
Citations per year

Countries citing papers authored by D. Álvarez

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with D. Álvarez Line = papers co-authored together D. Álvarez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013126
2 201291
3 201157
4 200956
5 201529
6 200825
7 200724
8 200522
9 201721
10 200819
11 202014
12 201411
13 201510
14 20199
15 20089
16 20097
17 20155
18 20195
19
Effect of cooking methods (vacuum vs frying) on boar taint perception.
20144
20 20174

About D. Álvarez

D. Álvarez is a scholar working on Animal Science and Zoology, Food Science, Analytical Chemistry, Microbiology 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 System and Pregnancy (5 papers), Reproductive Physiology in Livestock (5 papers), Reproductive tract infections research (5 papers), Advanced Chemical Sensor Technologies (4 papers), Animal Nutrition and Physiology (3 papers) and Proteins in Food Systems (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 Pakistan. 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.

Explore authors with similar magnitude of impact