J. M. Macarulla

890 total citations
50 papers, 743 citations indexed

About

J. M. Macarulla is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, J. M. Macarulla has authored 50 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Physiology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in J. M. Macarulla's work include Metabolism and Genetic Disorders (6 papers), Biochemical effects in animals (5 papers) and Lipid Membrane Structure and Behavior (5 papers). J. M. Macarulla is often cited by papers focused on Metabolism and Genetic Disorders (6 papers), Biochemical effects in animals (5 papers) and Lipid Membrane Structure and Behavior (5 papers). J. M. Macarulla collaborates with scholars based in Spain, Poland and Argentina. J. M. Macarulla's co-authors include Félix M. Goñi, José L. R. Arrondo, Miguel Trueba, Aída Marino, Antonio Gómez‐Muñoz, Leyre Brizuela, Miriam Rábano, David Fogarty, Jean‐Paul Dehaye and Elie Kabré and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

J. M. Macarulla

46 papers receiving 717 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. M. Macarulla Spain 15 461 84 83 77 69 50 743
M. Balerna Switzerland 16 481 1.0× 53 0.6× 40 0.5× 134 1.7× 43 0.6× 55 940
Kristine Sigrist‐Nelson Switzerland 13 599 1.3× 84 1.0× 75 0.9× 93 1.2× 28 0.4× 18 863
A. Stephen Dahms United States 16 442 1.0× 47 0.6× 95 1.1× 44 0.6× 83 1.2× 49 709
Keith Elliott United Kingdom 20 642 1.4× 182 2.2× 76 0.9× 74 1.0× 55 0.8× 55 1.1k
Kazuya Fukuda Japan 15 310 0.7× 60 0.7× 82 1.0× 163 2.1× 23 0.3× 48 894
Rosamaria Fiorini Italy 18 490 1.1× 133 1.6× 55 0.7× 53 0.7× 13 0.2× 56 958
Richard J. Guillory United States 22 943 2.0× 171 2.0× 31 0.4× 142 1.8× 58 0.8× 50 1.3k
Kazuko Aoki Japan 19 400 0.9× 178 2.1× 38 0.5× 192 2.5× 78 1.1× 75 1.1k
P. A. George Fortes United States 17 771 1.7× 98 1.2× 19 0.2× 103 1.3× 70 1.0× 20 967
N.N. Modyanov Russia 18 1.0k 2.2× 50 0.6× 48 0.6× 82 1.1× 34 0.5× 41 1.2k

Countries citing papers authored by J. M. Macarulla

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of J. M. Macarulla

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Macarulla. A scholar is included among the top collaborators of J. M. 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 J. M. Macarulla. J. M. Macarulla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Trueba, Miguel, et al.. (2009). Binding of Progesterone to Specific Sites in Isolated Hepatic Cells and Purified Plasma Membrane Fraction. Experimental and Clinical Endocrinology & Diabetes. 95(2). 169–180.
2.
Marino, Aída, et al.. (2009). Increased Phospholipid Methylation and Glycogen Phosphorylase Activation after a Single Dose of Dexamethasone in Mouse Liver. Experimental and Clinical Endocrinology & Diabetes. 92(6). 314–322.
3.
Brizuela, Leyre, Miriam Rábano, Patricia Gangoiti, et al.. (2007). Sphingosine-1-phosphate stimulates aldosterone secretion through a mechanism involving the PI3K/PKB and MEK/ERK 1/2 pathways. Journal of Lipid Research. 48(10). 2264–2274. 44 indexed citations
4.
5.
Rábano, Miriam, Ana Peña, Leyre Brizuela, et al.. (2004). Angiotensin II-stimulated cortisol secretion is mediated by phospholipase D. Molecular and Cellular Endocrinology. 222(1-2). 9–20. 24 indexed citations
6.
Rábano, Miriam, Ana Peña, Leyre Brizuela, et al.. (2003). Sphingosine‐1‐phosphate stimulates cortisol secretion. FEBS Letters. 535(1-3). 101–105. 38 indexed citations
7.
Kabré, Elie, David Fogarty, Mourad Métioui, et al.. (1998). Activation by P2X7 Agonists of Two Phospholipases A2 (PLA2) in Ductal Cells of Rat Submandibular Gland. Journal of Biological Chemistry. 273(46). 30208–30217. 88 indexed citations
8.
9.
10.
Trueba, Miguel, et al.. (1991). Specific binding sites for corticosterone in isolated cells and plasma membrane from rat liver. The Journal of Membrane Biology. 120(2). 115–124. 33 indexed citations
11.
Trueba, Miguel, et al.. (1989). Characterization of Specific Binding Sites for Corticosterone in Mouse Liver Plasma Membrane. PubMed. 8(4). 229–239. 13 indexed citations
12.
Trueba, Miguel, et al.. (1989). Evidence for the presence of specific binding sites for corticoids in mouse liver plasma membranes. The Journal of Membrane Biology. 108(2). 115–124. 16 indexed citations
13.
Valpuesta, José, Félix M. Goñi, Alicia Alonso, José L. R. Arrondo, & J. M. Macarulla. (1988). Lipid-protein interactions. The mitochondrial complex III-phosphatidylcholine-water system. Biochimica et Biophysica Acta (BBA) - Biomembranes. 942(2). 341–352. 9 indexed citations
14.
Macarulla, J. M., et al.. (1988). A purple carotenoprotein from the carapace of Galathea strigosa. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 90(1). 53–57. 3 indexed citations
15.
Valpuesta, José, Félix M. Goñi, & J. M. Macarulla. (1987). Tryptophan fluorescence of mitochondrial complex III reconstituted in phosphatidylcholine bilayers. Archives of Biochemistry and Biophysics. 257(2). 285–292. 6 indexed citations
16.
Macarulla, J. M., et al.. (1986). Studies on the reconstitution ofP. clarkii blue carotenoprotein from its isolated subunits. Cellular and Molecular Life Sciences. 42(9). 1063–1064. 3 indexed citations
17.
Valpuesta, José, Félix M. Goñi, Issa Katime, & J. M. Macarulla. (1985). Laser light-scattering characterization of mitochondrial complex III-Triton X-100-phospholipid mixed micelles. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 807(1). 96–99. 7 indexed citations
18.
Prado, Adelina, José L. R. Arrondo, A. Villena, Félix M. Goñi, & J. M. Macarulla. (1983). Membrane-surfactant interactions The effect of triton X-100 on sarcoplasmic reticulum vesicles. Biochimica et Biophysica Acta (BBA) - Biomembranes. 733(1). 163–171. 36 indexed citations
19.
Goñi, Félix M., et al.. (1981). Lipid peroxidation in cytochrome c/phospholipid/water systems. Biochemical Society Transactions. 9(6). 566–567. 1 indexed citations
20.
Gómez, Rosario, Félix M. Goñi, & J. M. Macarulla. (1978). Carotenoids from marigold (Tagetes erecta) petals and their esterified fatty acids.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 34(3). 253–6. 7 indexed citations

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.

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