Daniel Álvarez

770 citations
26 papers · 634 · h-index 13

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

Daniel Álvarez

26 papers receiving 602 citations

Peers

Daniel Álvarez
Comparison fields: 5 of 68
  • Animal Science and Zoology 378
  • Food Science 311
  • Microbiology 56
  • Nutrition and Dietetics 127
  • Biochemistry 26
Replace Ane Knarreborg with:
Ane Knarreborg Denmark
Guenter Klein Germany
Carmelina Pennacchia Italy
Rong Xiang China
Anja Ganner Austria
Mohammadali Alizadeh Canada
António Salvador Barreto Portugal
Benedetta Tugnoli Italy
Marie-Hélène Desmonts France
M.D. Sims United States
Daniel Álvarez relative to Ane Knarreborg Denmark Ane Knarreborg's profile →
Citations per field
00.5×1.5×2×2.4×
Ane Knarreborg · 1×
Citations per year

Countries citing papers authored by Daniel Álvarez

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 Daniel Álvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Álvarez more than expected).

Fields of papers citing papers by Daniel Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel 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 Daniel Álvarez. The network helps show where Daniel Álvarez may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel 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 Daniel Álvarez Line = papers co-authored together Daniel 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 2013147
2 201297
3 201166
4 200962
5 201533
6 200827
7 200722
8 200522
9 201721
10 201518
11 200818
12 202015
13 201414
14 200813
15 20199
16 20097
17 20107
18 20155
19 20175
20 20225

About Daniel Álvarez

Daniel Álvarez is a scholar working on Animal Science and Zoology, Analytical Chemistry, Food Science, Microbiology and Agronomy and Crop Science, having authored 26 papers that have together received 634 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), Advanced Chemical Sensor Technologies (4 papers), Reproductive System and Pregnancy (4 papers), Reproductive Physiology in Livestock (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 (378 citations), Food Science (311 citations), Microbiology (56 citations), Nutrition and Dietetics (127 citations) and Biochemistry (26 citations). Daniel Álvarez has collaborated with scholars based in Spain, United States and Panama. Frequent co-authors include Shai Barbut, Manuel Castillo, Youling L. Xiong, Fred A. Payne, María Dolores Pitarch Garrido, María Dolores Garrido, Gema Nieto Martínez, Sancho Bañón, J. Laencina and Pedro Luis Gomis Díaz. Their work appears in journals such as Meat Science, Animals, Journal of Food Engineering, International Journal of Dairy Technology and Pathogens.

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.

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