M. T. Macarulla
Impact in
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
- Nutrition and Dietetics top 1%
- Fatty Acid Research and Health
Papers in
- Physiology 31
- Adipose Tissue and Metabolism 27
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- Fatty Acid Research and Health 20
- Co-authors
- María P. Portillo (56 shared papers)J. Alfredo Martínéz (18 shared papers)Víctor M. Rodríguez (27 shared papers)Alfredo Fernández‐Quintela (32 shared papers)N. Arias (11 shared papers)Jonatan Miranda (13 shared papers)Fermı́n I. Milagro (6 shared papers)Leixuri Aguirre (12 shared papers)
In The Last Decade
M. T. Macarulla
79 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 102
- Geriatrics and Gerontology 488
- Nutrition and Dietetics 598
- Physiology 934
- Biochemistry 203
- Biochemistry 172
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-authors
The 25 scholars most cited alongside M. T. Macarulla, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 372 | |
| 2 | 1997 | 193 | |
| 3 | 2011 | 141 | |
| 4 | 2013 | 109 | |
| 5 | 2009 | 101 | |
| 6 | 2011 | 101 | |
| 7 | 2012 | 93 | |
| 8 | 2002 | 89 | |
| 9 | 2012 | 85 | |
| 10 | 2001 | 81 | |
| 11 | 2013 | 69 | |
| 12 | 2016 | 67 | |
| 13 | 2015 | 55 | |
| 14 | 2005 | 51 | |
| 15 | Several statins increase body and liver fat accumulation in a model of metabolic syndrome. | 2013 | 49 |
| 16 | 2015 | 47 | |
| 17 | 2015 | 42 | |
| 18 | 2003 | 40 | |
| 19 | 2004 | 39 | |
| 20 | 2002 | 35 |
About M. T. Macarulla
M. T. Macarulla is a scholar working on Physiology, Nutrition and Dietetics, Geriatrics and Gerontology, Molecular Biology and Epidemiology, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (27 papers), Fatty Acid Research and Health (20 papers), Sirtuins and Resveratrol in Medicine (16 papers), Regulation of Appetite and Obesity (9 papers), Lipid metabolism and biosynthesis (8 papers), Cholesterol and Lipid Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). The work is most often cited by research in Geriatrics and Gerontology (488 citations), Nutrition and Dietetics (598 citations), Physiology (934 citations), Biochemistry (203 citations) and Biochemistry (172 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 British Journal Of Nutrition, Journal of Physiology and Biochemistry, Nutrition, European Journal of Nutrition and Food & Function.
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.