Maria José Barberà

968 total citations
8 papers, 801 citations indexed

About

Maria José Barberà is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Maria José Barberà has authored 8 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Epidemiology. Recurrent topics in Maria José Barberà's work include Adipose Tissue and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Amoebic Infections and Treatments (2 papers). Maria José Barberà is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Amoebic Infections and Treatments (2 papers). Maria José Barberà collaborates with scholars based in Spain, Canada and United States. Maria José Barberà's co-authors include Marta Giralt, Francesc Villarroya, Roser Iglesias, Agatha Schlüter, Neus Pedraza, Antonio Garcı́a de Herreros, Josep Baulida, Sandra Guaita‐Esteruelas, David Dominguez-Sola and Isabel Puig and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Biochemical Journal.

In The Last Decade

Maria José Barberà

8 papers receiving 792 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria José Barberà Spain	8	464	347	175	162	99	8	801
Lisa K. Johnson United States	7	578 1.2×	240 0.7×	328 1.9×	55 0.3×	86 0.9×	14	993
Neetu Sud United States	16	423 0.9×	226 0.7×	170 1.0×	43 0.3×	138 1.4×	21	848
Kevin B. Atkins United States	17	439 0.9×	150 0.4×	89 0.5×	55 0.3×	62 0.6×	23	890
Masashi Masuda Japan	20	442 1.0×	177 0.5×	192 1.1×	112 0.7×	50 0.5×	53	1.1k
Dong-Ju Shin United States	11	355 0.8×	145 0.4×	254 1.5×	141 0.9×	90 0.9×	16	881
Xiao Jia China	15	317 0.7×	110 0.3×	186 1.1×	106 0.7×	70 0.7×	25	996
Shiying Wang China	12	259 0.6×	235 0.7×	129 0.7×	29 0.2×	62 0.6×	31	713
Vanessa Legry Belgium	13	254 0.5×	107 0.3×	362 2.1×	102 0.6×	78 0.8×	25	970
Fei Xiong China	15	340 0.7×	99 0.3×	80 0.5×	76 0.5×	80 0.8×	39	766
Chiara Gabbi United States	18	330 0.7×	94 0.3×	145 0.8×	233 1.4×	76 0.8×	34	867

Countries citing papers authored by Maria José Barberà

Since Specialization

Citations

This map shows the geographic impact of Maria José Barberà'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 Maria José Barberà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria José Barberà more than expected).

Fields of papers citing papers by Maria José Barberà

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria José Barberà. 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 Maria José Barberà. The network helps show where Maria José Barberà may publish in the future.

Co-authorship network of co-authors of Maria José Barberà

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

All Works

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8 of 8 papers shown

1.

Barberà, Maria José, et al.. (2010). Biodegradation of methyl tert-butyl ether by newly identified soil microorganisms in a simple mineral solution. World Journal of Microbiology and Biotechnology. 27(4). 813–821. 9 indexed citations

2.

Barberà, Maria José, et al.. (2010). Sawyeria marylandensis (Heterolobosea) Has a Hydrogenosome with Novel Metabolic Properties. Eukaryotic Cell. 9(12). 1913–1924. 26 indexed citations

3.

Gill, Erin E., Sara Diaz Trivino, Maria José Barberà, et al.. (2007). Novel mitochondrion‐related organelles in the anaerobic amoeba Mastigamoeba balamuthi. Molecular Microbiology. 66(6). 1306–1320. 53 indexed citations

4.

Barberà, Maria José, Isabel Puig, David Dominguez-Sola, et al.. (2004). Regulation of Snail transcription during epithelial to mesenchymal transition of tumor cells. Oncogene. 23(44). 7345–7354. 289 indexed citations

5.

Schlüter, Agatha, Maria José Barberà, Roser Iglesias, Marta Giralt, & Francesc Villarroya. (2002). Phytanic acid, a novel activator of uncoupling protein-1 gene transcription and brown adipocyte differentiation. Biochemical Journal. 362(1). 61–61. 36 indexed citations

6.

Schlüter, Agatha, Maria José Barberà, Roser Iglesias, Marta Giralt, & Francesc Villarroya. (2002). Phytanic acid, a novel activator of uncoupling protein-1 gene transcription and brown adipocyte differentiation. Biochemical Journal. 362(1). 61–69. 24 indexed citations

7.

Barberà, Maria José, Agatha Schlüter, Neus Pedraza, et al.. (2001). Peroxisome Proliferator-activated Receptor α Activates Transcription of the Brown Fat Uncoupling Protein-1 Gene. Journal of Biological Chemistry. 276(2). 1486–1493. 307 indexed citations

8.

Carmona, M C, Maria José Barberà, Octavi Viñas, et al.. (1999). Opposite regulation of PPAR-α and -γ gene expression by both their ligands and retinoic acid in brown adipocytes. Molecular and Cellular Endocrinology. 154(1-2). 101–109. 57 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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