Fidel Toldrá
- Animal Science and Zoology top 0.01%
- Meat and Animal Product Quality 257
- Animal Nutrition and Physiology 50
- Pharmacological Effects and Assays 28
- Insect Science top 0.05%
- Insect Utilization and Effects 63
- Bee Products Chemical Analysis 31
- Food Science top 0.05%
- Molecular Biology top 0.5%
- Protein Hydrolysis and Bioactive Peptides 195
- Nutrition and Dietetics top 0.2%
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- Muscle metabolism and nutrition 63
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- Biochemical effects in animals 63
Fidel Toldrá
383 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Animal Science and Zoology 11.1k
- Insect Science 3.9k
- Food Science 4.5k
- Molecular Biology 9.5k
- Nutrition and Dietetics 1.8k
Countries citing papers authored by Fidel Toldrá
This map shows the geographic impact of Fidel Toldrá'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 Fidel Toldrá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fidel Toldrá more than expected).
Fields of papers citing papers by Fidel Toldrá
This network shows the impact of papers produced by Fidel Toldrá. 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 Fidel Toldrá. The network helps show where Fidel Toldrá may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fidel Toldrá, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 21 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 41 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 24 | |
| 13 | 2022 | 13 | |
| 14 | 2020 | 42 | |
| 15 | 2020 | 29 | |
| 16 | 2018 | 92 | |
| 17 | Marine organisms producing enzymes | 2016 | 1 |
| 18 | Proteomic Identification of Small (<2000 Da) Myoglobin Peptides Generated in Dry-Cured Ham | 2012 | 19 |
| 19 | Norma europea de aditivos: implicaciones de la reducción de nitratos y nitritos en el jamón curado | 2006 | 1 |
| 20 | Lipids of pork meat as affected by various cooking techniques | 1999 | 19 |
About Fidel Toldrá
Fidel Toldrá is a scholar working on Animal Science and Zoology, Insect Science and Cell Biology, having authored 391 papers that have together received 17.6k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (257 papers), Protein Hydrolysis and Bioactive Peptides (195 papers), Muscle metabolism and nutrition (63 papers), Biochemical effects in animals (63 papers), Insect Utilization and Effects (63 papers), Animal Nutrition and Physiology (50 papers), Bee Products Chemical Analysis (31 papers) and Pharmacological Effects and Assays (28 papers). The work is most often cited by research in Animal Science and Zoology (11.1k citations), Insect Science (3.9k citations) and Food Science (4.5k citations). Fidel Toldrá has collaborated with scholars based in Spain, Tunisia and China. Frequent co-authors include M‐Concepción Aristoy, Leticia Mora, Mónica Flores, Milagro Reig, Miguel Ángel Sentandreu, Marta Gallego, Yolanda Sanz, Elizabeth Escudero, José Manuel Barat Baviera and José Flores‐Rivera. Their work appears in journals such as Meat Science, Food Chemistry, Journal of Agricultural and Food Chemistry, Food Research International and Trends in 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.