María E. Martín
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 6
-
- Microfluidic and Bio-sensing Technologies 4
- Co-authors
- Sergio Montserrat‐de la Paz (17 shared papers)María C. Millán-Linares (14 shared papers)Elena Grao‐Cruces (9 shared papers)Josefina Hidalgo (4 shared papers)Angel Velasco (4 shared papers)Manuel Muñiz (3 shared papers)C. Benassayag (3 shared papers)E.A. Nunez (3 shared papers)
- Journals
- Foods (3 papers)Molecular and Cellular Biology (2 papers)Food & Function (2 papers)International Journal of Biological Macromolecules (2 papers)Nutrients (2 papers)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
María E. Martín
37 papers receiving 930 citations
Peers
Comparison fields: 5 of 114
- Biochemistry 78
- Cell Biology 205
- Food Science 118
- Physiology 28
- Molecular Biology 389
Countries citing papers authored by María E. Martín
This map shows the geographic impact of María E. Martín'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 María E. Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María E. Martín more than expected).
Fields of papers citing papers by María E. Martín
This network shows the impact of papers produced by María E. Martín. 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 María E. Martín. The network helps show where María E. Martín may publish in the future.
Co-authors
The 25 scholars most cited alongside María E. Martín, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 106 | |
| 2 | 1997 | 82 | |
| 3 | 2003 | 79 | |
| 4 | 2021 | 63 | |
| 5 | 1992 | 62 | |
| 6 | 2014 | 50 | |
| 7 | 1986 | 43 | |
| 8 | 2018 | 36 | |
| 9 | 2021 | 31 | |
| 10 | 2000 | 31 | |
| 11 | 2021 | 28 | |
| 12 | 1999 | 28 | |
| 13 | 1992 | 27 | |
| 14 | 2018 | 25 | |
| 15 | 2021 | 23 | |
| 16 | 1993 | 22 | |
| 17 | 2023 | 22 | |
| 18 | 1977 | 22 | |
| 19 | 2000 | 21 | |
| 20 | 2024 | 20 |
About María E. Martín
María E. Martín is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Animal Science and Zoology and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 946 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (6 papers), Cellular transport and secretion (5 papers), Cholesterol and Lipid Metabolism (5 papers), Microfluidic and Bio-sensing Technologies (4 papers), Hormonal and reproductive studies (3 papers), Calcium signaling and nucleotide metabolism (3 papers), Fatty Acid Research and Health (3 papers) and Meat and Animal Product Quality (3 papers). The work is most often cited by research in Biochemistry (78 citations), Cell Biology (205 citations), Food Science (118 citations), Physiology (28 citations) and Molecular Biology (389 citations). María E. Martín has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Sergio Montserrat‐de la Paz, María C. Millán-Linares, Elena Grao‐Cruces, Josefina Hidalgo, Angel Velasco, Manuel Muñiz, C. Benassayag, E.A. Nunez, Soledad López and Francisco Millán. Their work appears in journals such as Foods, Molecular and Cellular Biology, Food & Function, International Journal of Biological Macromolecules and Nutrients.
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.