Enara Arretxe

1.3k total citations · 1 hit paper
14 papers, 668 citations indexed

About

Enara Arretxe is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Enara Arretxe has authored 14 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Enara Arretxe's work include Liver Disease Diagnosis and Treatment (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and interferon and immune responses (3 papers). Enara Arretxe is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and interferon and immune responses (3 papers). Enara Arretxe collaborates with scholars based in Spain, Portugal and France. Enara Arretxe's co-authors include Cristina Alonso, Óscar Millet, Julia Brosnan, Mojgan Masoodi, Amalia Gastaldelli, P. Ortiz, Jean‐François Dufour, Quentin M. Anstee, Melania Gaggini and José M. Mato and has published in prestigious journals such as Nucleic Acids Research, Hepatology and Gut.

In The Last Decade

Enara Arretxe

14 papers receiving 663 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Metabolomics and lipidomics in NAFLD: biomarkers and non-invasive diagnostic tests

2021 281 citations Mojgan Masoodi, Amalia Gastaldelli et al. Nature Reviews Gastroenterology & Hepatology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Enara Arretxe Spain	11	329	302	135	120	96	14	668
Ibon Martínez‐Arranz Spain	12	267 0.8×	235 0.8×	161 1.2×	122 1.0×	87 0.9×	18	601
Keane K. Y. Lai United States	16	344 1.0×	264 0.9×	117 0.9×	71 0.6×	77 0.8×	25	741
Lingdi Wang China	16	366 1.1×	171 0.6×	78 0.6×	166 1.4×	133 1.4×	24	742
Charles D. Calenda United States	9	294 0.9×	335 1.1×	88 0.7×	62 0.5×	62 0.6×	11	675
Jinghua Du China	13	312 0.9×	353 1.2×	239 1.8×	75 0.6×	51 0.5×	21	679
Elena Kotsiliti United Kingdom	2	295 0.9×	662 2.2×	186 1.4×	86 0.7×	134 1.4×	2	988
John Brooling United States	11	257 0.8×	495 1.6×	166 1.2×	223 1.9×	109 1.1×	15	926
Vera P. Leoni Italy	17	472 1.4×	100 0.3×	165 1.2×	46 0.4×	81 0.8×	30	723
Jamie Bates United States	8	307 0.9×	257 0.9×	54 0.4×	47 0.4×	103 1.1×	20	664
Yosuke Aihara Japan	15	137 0.4×	340 1.1×	48 0.4×	111 0.9×	149 1.6×	28	584

Countries citing papers authored by Enara Arretxe

Since Specialization

Citations

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

Fields of papers citing papers by Enara Arretxe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enara Arretxe. 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 Enara Arretxe. The network helps show where Enara Arretxe may publish in the future.

Co-authorship network of co-authors of Enara Arretxe

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

All Works

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14 of 14 papers shown

Rodrigues, Pedro M., Marta B. Afonso, André L. Simão, et al.. (2023). miR‐21‐5p promotes NASH‐related hepatocarcinogenesis. Liver International. 43(10). 2256–2274. 22 indexed citations

Masoodi, Mojgan, Amalia Gastaldelli, Tuulia Hyötyläinen, et al.. (2021). Metabolomics and lipidomics in NAFLD: biomarkers and non-invasive diagnostic tests. Nature Reviews Gastroenterology & Hepatology. 18(12). 835–856. 281 indexed citations breakdown →

Afonso, Marta B., Pedro M. Rodrigues, André L. Simão, et al.. (2020). RIPK3 acts as a lipid metabolism regulator contributing to inflammation and carcinogenesis in non-alcoholic fatty liver disease. Gut. 70(12). 2359–2372. 78 indexed citations

Macı́as, Rocı́o I.R., Luis Muñoz‐Bellvís, Enara Arretxe, et al.. (2020). A Novel Serum Metabolomic Profile for the Differential Diagnosis of Distal Cholangiocarcinoma and Pancreatic Ductal Adenocarcinoma. Cancers. 12(6). 1433–1433. 20 indexed citations

Matorras, Roberto, Ibon Martínez‐Arranz, Enara Arretxe, et al.. (2019). The lipidome of endometrial fluid differs between implantative and non-implantative IVF cycles. Journal of Assisted Reproduction and Genetics. 37(2). 385–394. 20 indexed citations

Bañales, Jesús M., Mercedes Iñarrairaegui, Ander Arbelaiz, et al.. (2019). SAT-425-Serum metabolites as diagnostic biomarkers for cholangiocarcinoma, hepatocellular carcinoma and primary sclerosing cholangitis. Journal of Hepatology. 70(1). e821–e822. 1 indexed citations

Iruarrizaga‐Lejarreta, Marta, Enara Arretxe, & Cristina Alonso. (2019). Using metabolomics to develop precision medicine strategies to treat nonalcoholic steatohepatitis. Expert Review of Precision Medicine and Drug Development. 4(5). 283–297. 1 indexed citations

Bañales, Jesús M., Mercedes Iñarrairaegui, Ander Arbelaiz, et al.. (2018). Serum Metabolites as Diagnostic Biomarkers for Cholangiocarcinoma, Hepatocellular Carcinoma, and Primary Sclerosing Cholangitis. Hepatology. 70(2). 547–562. 132 indexed citations

Manni, Marco M., Jesús Sot, Enara Arretxe, et al.. (2018). The fatty acids of sphingomyelins and ceramides in mammalian tissues and cultured cells: Biophysical and physiological implications. Chemistry and Physics of Lipids. 217. 29–34. 29 indexed citations

10.

Bañales, Jesús M., Mercedes Iñarrairaegui, Ander Arbelaiz, et al.. (2018). Usefulness of serum metabolic profiling in the search of novel diagnostic biomarkers for primary sclerosing cholangitis, intrahepatic cholangiocarcinoma and hepatocellular carcinoma. Journal of Hepatology. 68. S72–S73. 4 indexed citations

11.

Arretxe, Enara, et al.. (2017). SREBP-2-driven transcriptional activation of human SND1 oncogene. Oncotarget. 8(64). 108181–108194. 18 indexed citations

12.

Arretxe, Enara, et al.. (2015). Profiling of promoter occupancy by the SND1 transcriptional coactivator identifies downstream glycerolipid metabolic genes involved in TNFα response in human hepatoma cells. Nucleic Acids Research. 43(22). 10673–10688. 27 indexed citations

13.

Arretxe, Enara, et al.. (2014). The promoter of cell growth- and RNA protection-associated SND1 gene is activated by endoplasmic reticulum stress in human hepatoma cells. BMC Biochemistry. 15(1). 25–25. 13 indexed citations

14.

Arretxe, Enara, et al.. (2012). NF-κB, Sp1 and NF-Y as transcriptional regulators of human SND1 gene. Biochimie. 95(4). 735–742. 22 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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