M. Tejada

34 papers receiving 693 citations

Peers

M. Tejada
Comparison fields: 5 of 73
  • Animal Science and Zoology 515
  • Aquatic Science 216
  • Food Science 183
  • Cell Biology 119
  • Molecular Biology 267
Replace J. de la Fuente with:
J. de la Fuente Spain
C.K. Gehring United States
Oreste Franci Italy
Jae Won Park South Korea
Carmen Piñeiro Spain
A. M. Chagneau France
D.N. D’Souza Australia
N.F.S. Gault United Kingdom
P.B. Tillman United States
Romuald Chéret France
M. Tejada relative to J. de la Fuente Spain J. de la Fuente's profile →
Citations per field
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J. de la Fuente · 1×
Citations per year

Countries citing papers authored by M. Tejada

Since Specialization
Citations

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

Fields of papers citing papers by M. Tejada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Tejada, 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 M. Tejada Line = papers co-authored together M. Tejada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997151
2 2000118
3 198553
4 199648
5 198348
6 200145
7 199040
8 199932
9 200122
10 199020
11 200617
12 198317
13 199816
14 199516
15 200915
16 199114
17
Time domain reflectometry as a tool for the estimation of quality in foods
200412
18 199712
19 200911
20 199810

About M. Tejada

M. Tejada is a scholar working on Animal Science and Zoology, Aquatic Science, Food Science, Molecular Biology and Cell Biology, having authored 35 papers that have together received 786 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (27 papers), Aquaculture Nutrition and Growth (13 papers), Protein Hydrolysis and Bioactive Peptides (8 papers), Proteins in Food Systems (5 papers), Muscle metabolism and nutrition (3 papers), Bee Products Chemical Analysis (3 papers), Animal Nutrition and Physiology (2 papers) and Sensory Analysis and Statistical Methods (2 papers). The work is most often cited by research in Animal Science and Zoology (515 citations), Aquatic Science (216 citations), Food Science (183 citations), Cell Biology (119 citations) and Molecular Biology (267 citations). M. Tejada has collaborated with scholars based in Spain, Sweden and Germany. Frequent co-authors include Almudena Huidobro, Mercedes Careche, A. Javier Borderías, Cristina Álvarez, Pedro F. Mateos, I. García-Acha, P. D. Bridge, Isabel Grondona, Rosa Hermosa and Enrique Monte. Their work appears in journals such as Food Science and Technology International, Journal of Food Science, Journal of Food Biochemistry, European Food Research and Technology and International Journal of Food Science & Technology.

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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