M. T. Macarulla
- Physiology top 2%
- Molecular Biology top 10%
- Nutrition and Dietetics top 1%
- Epidemiology top 5%
- Geriatrics and Gerontology top 0.5%
- Co-authors
- María P. PortilloJ. Alfredo MartínézVíctor M. RodríguezAlfredo Fernández‐QuintelaN. AriasJonatan MirandaFermı́n I. MilagroLeixuri Aguirre
- Topics
- Adipose Tissue and Metabolism (32 papers)Fatty Acid Research and Health (21 papers)Sirtuins and Resveratrol in Medicine (17 papers)
In The Last Decade
M. T. Macarulla
79 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 106
- Physiology 1.1k
- Molecular Biology 780
- Nutrition and Dietetics 632
- Epidemiology 572
- Geriatrics and Gerontology 510
Countries citing papers authored by M. T. Macarulla
This map shows the geographic impact of M. T. Macarulla'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. T. Macarulla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. T. Macarulla more than expected).
Fields of papers citing papers by M. T. Macarulla
This network shows the impact of papers produced by M. T. Macarulla. 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. T. Macarulla. The network helps show where M. T. Macarulla may publish in the future.
Co-authorship network of co-authors of M. T. Macarulla
This figure shows the co-authorship network connecting the top 25 collaborators of M. T. Macarulla. A scholar is included among the top collaborators of M. T. Macarulla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. T. Macarulla. M. T. Macarulla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 11 | |
| 3 | 16 | |
| 4 | 17 | |
| 5 | 55 | |
| 6 | 13 | |
| 7 | 10 | |
| 8 | 101 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 20 | |
| 14 | 20 | |
| 15 | 18 | |
| 16 | 14 | |
| 17 | 5 | |
| 18 | Estudio comparativo de la composición y el valor nutritivo de semillas y concentrados de proteína de leguminosas | 3 |
| 19 | Leguminosas y concentrados de proteínas: nuevas perspectivas y aplicaciones | 4 |
| 20 | Obtención y caracterización de concentrados de proteína a partir de leguminosas | 2 |
About M. T. Macarulla
M. T. Macarulla is a scholar working on Geriatrics and Gerontology, Nutrition and Dietetics and Biochemistry, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (32 papers), Fatty Acid Research and Health (21 papers) and Sirtuins and Resveratrol in Medicine (17 papers). The work is most often cited by research in Geriatrics and Gerontology (510 citations), Physiology (1.1k citations) and Nutrition and Dietetics (632 citations). M. T. Macarulla has collaborated with scholars based in Spain, France and Argentina. Frequent co-authors include María P. Portillo, J. Alfredo Martínéz, Víctor M. Rodríguez, Alfredo Fernández‐Quintela, N. Arias, Jonatan Miranda, Fermı́n I. Milagro, Leixuri Aguirre, Itziar Churruca and Goiuri Alberdi. Their work appears in journals such as American Journal of Clinical Nutrition, Journal of Agricultural and Food Chemistry and Food Chemistry.
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.