M. Espert
Impact in
- Food Science top 1%
- Food Chemistry and Fat Analysis
- Proteins in Food Systems
- Polysaccharides Composition and Applications
- Microencapsulation and Drying Processes
- Nutrition and Dietetics top 5%
- Biochemical Analysis and Sensing Techniques
- Food composition and properties
Papers in
- Food Science 27
- Food Chemistry and Fat Analysis 24
- Proteins in Food Systems 24
- Polysaccharides Composition and Applications 14
- Sensory Analysis and Statistical Methods 4
- Essential Oils and Antimicrobial Activity 1
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- Biochemical Analysis and Sensing Techniques 4
- Co-authors
- Ana Salvador (26 shared papers)T. Sanz (25 shared papers)M.J. Hernández (6 shared papers)Amparo Quiles (5 shared papers)Isabel Hernando (4 shared papers)Qi Wang (6 shared papers)Empar Llorca (1 shared paper)Susana Cofrades (2 shared papers)
In The Last Decade
M. Espert
27 papers receiving 651 citations
Peers
Comparison fields: 5 of 60
- Food Science 606
- Nutrition and Dietetics 178
- Animal Science and Zoology 106
- Biomaterials 49
- Biochemistry 14
Countries citing papers authored by M. Espert
This map shows the geographic impact of M. Espert'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. Espert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Espert more than expected).
Fields of papers citing papers by M. Espert
This network shows the impact of papers produced by M. Espert. 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. Espert. The network helps show where M. Espert may publish in the future.
Co-authors
The 16 scholars most cited alongside M. Espert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 69 | |
| 2 | 2020 | 68 | |
| 3 | 2020 | 63 | |
| 4 | 2017 | 53 | |
| 5 | 2022 | 45 | |
| 6 | 2019 | 43 | |
| 7 | 2023 | 36 | |
| 8 | 2017 | 36 | |
| 9 | 2022 | 31 | |
| 10 | 2024 | 24 | |
| 11 | 2021 | 23 | |
| 12 | 2022 | 22 | |
| 13 | 2021 | 20 | |
| 14 | 2019 | 20 | |
| 15 | 2016 | 15 | |
| 16 | 2024 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2024 | 9 | |
| 20 | 2018 | 9 |
About M. Espert
M. Espert is a scholar working on Food Science, Nutrition and Dietetics, Plant Science, Organic Chemistry and Biochemistry, having authored 27 papers that have together received 657 indexed citations. Recurring topics across this work include Food Chemistry and Fat Analysis (24 papers), Proteins in Food Systems (24 papers), Polysaccharides Composition and Applications (14 papers), Biochemical Analysis and Sensing Techniques (4 papers), Sensory Analysis and Statistical Methods (4 papers), Postharvest Quality and Shelf Life Management (1 paper), Essential Oils and Antimicrobial Activity (1 paper) and Edible Oils Quality and Analysis (1 paper). The work is most often cited by research in Food Science (606 citations), Nutrition and Dietetics (178 citations), Animal Science and Zoology (106 citations), Biomaterials (49 citations) and Biochemistry (14 citations). M. Espert has collaborated with scholars based in Spain, Venezuela and Italy. Frequent co-authors include Ana Salvador, T. Sanz, M.J. Hernández, Amparo Quiles, Isabel Hernando, Qi Wang, Empar Llorca, Susana Cofrades, Marı́a Dolores Álvarez and Virginia Larrea. Their work appears in journals such as Food Hydrocolloids, LWT, Foods, Food & Function and Current Research in Food Science.
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.