J. M. Macarulla
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Behavioral Neuroscience top 10%
Papers in
-
- Lipid Membrane Structure and Behavior 5
- Mitochondrial Function and Pathology 4
- Physiology 10
- Biochemical effects in animals 5
- Co-authors
- Félix M. Goñi (13 shared papers)José L. R. Arrondo (4 shared papers)Miguel Trueba (19 shared papers)Aída Marino (21 shared papers)Leyre Brizuela (3 shared papers)Antonio Gómez‐Muñoz (3 shared papers)Miriam Rábano (3 shared papers)Ana Peña (2 shared papers)
In The Last Decade
J. M. Macarulla
46 papers receiving 722 citations
Peers
Comparison fields: 5 of 108
- Physiology 68
- Behavioral Neuroscience 30
- Endocrine and Autonomic Systems 44
- Molecular Biology 457
- Endocrinology, Diabetes and Metabolism 81
Countries citing papers authored by J. M. Macarulla
This map shows the geographic impact of J. M. 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 J. M. Macarulla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. Macarulla more than expected).
Fields of papers citing papers by J. M. Macarulla
This network shows the impact of papers produced by J. M. 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 J. M. Macarulla. The network helps show where J. M. Macarulla may publish in the future.
Co-authors
The 25 scholars most cited alongside J. M. 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 146 | |
| 2 | 1998 | 88 | |
| 3 | 2007 | 44 | |
| 4 | 1980 | 42 | |
| 5 | 2003 | 39 | |
| 6 | 1983 | 37 | |
| 7 | 1991 | 33 | |
| 8 | 2004 | 24 | |
| 9 | 2004 | 23 | |
| 10 | 1984 | 20 | |
| 11 | 1996 | 20 | |
| 12 | 1985 | 19 | |
| 13 | 1984 | 19 | |
| 14 | 1989 | 16 | |
| 15 | 1993 | 14 | |
| 16 | 1997 | 13 | |
| 17 | 1989 | 13 | |
| 18 | 1986 | 13 | |
| 19 | 1981 | 12 | |
| 20 | 1985 | 12 |
About J. M. Macarulla
J. M. Macarulla is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Clinical Biochemistry, having authored 50 papers that have together received 748 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (6 papers), Biochemical effects in animals (5 papers), Lipid Membrane Structure and Behavior (5 papers), Hormonal Regulation and Hypertension (4 papers), Antioxidant Activity and Oxidative Stress (4 papers), Mitochondrial Function and Pathology (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Aquaculture Nutrition and Growth (3 papers). The work is most often cited by research in Physiology (68 citations), Behavioral Neuroscience (30 citations), Endocrine and Autonomic Systems (44 citations), Molecular Biology (457 citations) and Endocrinology, Diabetes and Metabolism (81 citations). J. M. Macarulla has collaborated with scholars based in Spain, Argentina and Belgium. Frequent co-authors include Félix M. Goñi, José L. R. Arrondo, Miguel Trueba, Aída Marino, Leyre Brizuela, Antonio Gómez‐Muñoz, Miriam Rábano, Ana Peña, Mourad Métioui and David Fogarty. Their work appears in journals such as Biochemical Society Transactions, Experimental and Clinical Endocrinology & Diabetes, Hormone and Metabolic Research, Cellular and Molecular Life Sciences and Archives of Biochemistry and Biophysics.
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.