Aintzane Apraiz

637 total citations
20 papers, 489 citations indexed

About

Aintzane Apraiz is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Aintzane Apraiz has authored 20 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Oncology. Recurrent topics in Aintzane Apraiz's work include Immunotherapy and Immune Responses (4 papers), Sphingolipid Metabolism and Signaling (4 papers) and RNA Interference and Gene Delivery (3 papers). Aintzane Apraiz is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Sphingolipid Metabolism and Signaling (4 papers) and RNA Interference and Gene Delivery (3 papers). Aintzane Apraiz collaborates with scholars based in Spain, United States and Switzerland. Aintzane Apraiz's co-authors include Aintzane Asumendi, María Dolores Boyano, Ana M. Zubiaga, Gorka Pérez‐Yarza, Marcos Malumbres, Jolanta Idkowiak‐Baldys, Yusuf A. Hannun, R. Izu, Asier Fullaondo and Jesús Gardeazábal and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Biochemical Journal.

In The Last Decade

Aintzane Apraiz

20 papers receiving 480 citations

Peers

Aintzane Apraiz

ONCOL

IMMUN

PHYSI

Chantal Depatie Canada

Derek Tobin Norway

Florian Rouaud Switzerland

Louise Reilly United States

Sébastien Martien France

Marthe-Susanna Wegner Germany

С. Г. Зубова Russia

Indra Dani Germany

Jaya Gautam South Korea

Melania Parisi Italy

Chantal Depatie Canada

Aintzane Apraiz

443 ×1.4

109 ×1.1

ONCOL

80 ×0.9

122 ×1.5

IMMUN

48 ×0.6

PHYSI

Citations per year, relative to Aintzane Apraiz Aintzane Apraiz (= 1×) peers Chantal Depatie

Countries citing papers authored by Aintzane Apraiz

Since Specialization

Citations

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

Fields of papers citing papers by Aintzane Apraiz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aintzane Apraiz

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

All Works

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20 of 20 papers shown

Gardeazábal, Jesús, R. Izu, Estíbaliz Garrote, et al.. (2023). Melanoma Clinical Decision Support System: An Artificial Intelligence-Based Tool to Diagnose and Predict Disease Outcome in Early-Stage Melanoma Patients. Cancers. 15(7). 2174–2174. 13 indexed citations

Boyano, María Dolores, et al.. (2023). Small extracellular vesicle‐based human melanocyte and melanoma signature. Pigment Cell & Melanoma Research. 37(5). 569–582. 3 indexed citations

Penas, Cristina, Aintzane Apraiz, Javier Rasero, et al.. (2023). Pirin is a prognostic marker of human melanoma that dampens the proliferation of malignant cells by downregulating JARID1B/KDM5B expression. Scientific Reports. 13(1). 9561–9561. 4 indexed citations

Penas, Cristina, Aintzane Apraiz, Javier Rasero, et al.. (2020). RKIP Regulates Differentiation-Related Features in Melanocytic Cells. Cancers. 12(6). 1451–1451. 8 indexed citations

Apraiz, Aintzane, Aitor Benedicto, Joana Márquez, et al.. (2020). Innate Lymphoid Cells in the Malignant Melanoma Microenvironment. Cancers. 12(11). 3177–3177. 5 indexed citations

Lage, Sergio, Javier Rasero, Aintzane Apraiz, et al.. (2020). Serum markers improve current prediction of metastasis development in early‐stage melanoma patients: a machine learning‐based study. Molecular Oncology. 14(8). 1705–1718. 26 indexed citations

Apraiz, Aintzane, Iraia García‐Santisteban, Asier Fullaondo, et al.. (2018). An E2F7-dependent transcriptional program modulates DNA damage repair and genomic stability. Nucleic Acids Research. 46(9). 4546–4559. 39 indexed citations

Apraiz, Aintzane, et al.. (2017). Studying Cell Cycle-regulated Gene Expression by Two Complementary Cell Synchronization Protocols. Journal of Visualized Experiments. 19 indexed citations

Apraiz, Aintzane, et al.. (2017). Studying Cell Cycle-regulated Gene Expression by Two Complementary Cell Synchronization Protocols. Journal of Visualized Experiments. 7 indexed citations

10.

Apraiz, Aintzane, et al.. (2016). E2F7 regulates transcription and maturation of multiple microRNAs to restrain cell proliferation. Nucleic Acids Research. 44(12). 5557–5570. 37 indexed citations

11.

Apraiz, Aintzane, et al.. (2016). E2F7 regulates transcription and maturation of multiple microRNAs to restrain cell proliferation. European Journal of Cancer. 61. S170–S170. 3 indexed citations

12.

Manterola, Lorea, Miriam Hernando-Rodríguez, Asier Ruiz, et al.. (2013). 1–42 β-Amyloid peptide requires PDK1/nPKC/Rac 1 pathway to induce neuronal death. Translational Psychiatry. 3(1). e219–e219. 41 indexed citations

13.

Laresgoiti, Usua, Aintzane Apraiz, Nerea Osinalde, et al.. (2013). E2F2 and CREB cooperatively regulate transcriptional activity of cell cycle genes. Nucleic Acids Research. 41(22). 10185–10198. 43 indexed citations

14.

Apraiz, Aintzane, et al.. (2012). Dihydroceramide accumulation and reactive oxygen species are distinct and nonessential events in 4-HPR-mediated leukemia cell death. Biochemistry and Cell Biology. 90(2). 209–223. 28 indexed citations

15.

Asumendi, Aintzane, et al.. (2011). Terfenadine induces apoptosis and autophagy in melanoma cells through ROS-dependent and -independent mechanisms. APOPTOSIS. 16(12). 1253–1267. 64 indexed citations

16.

Apraiz, Aintzane, Jolanta Idkowiak‐Baldys, María Dolores Boyano, et al.. (2011). Evaluation of bioactive sphingolipids in 4-HPR-resistant leukemia cells. BMC Cancer. 11(1). 477–477. 10 indexed citations

17.

Apraiz, Aintzane, María Dolores Boyano, & Aintzane Asumendi. (2011). Cell-Centric View of Apoptosis and Apoptotic Cell Death-Inducing Antitumoral Strategies. Cancers. 3(1). 1042–1080. 17 indexed citations

18.

Idkowiak‐Baldys, Jolanta, Aintzane Apraiz, Li Li, et al.. (2010). Dihydroceramide desaturase activity is modulated by oxidative stress. Biochemical Journal. 427(2). 265–274. 48 indexed citations

19.

Pérez‐Yarza, Gorka, María Dolores Boyano, Aintzane Apraiz, et al.. (2008). Bexarotene activates the p53/p73 pathway in human cutaneous T-cell lymphoma. British Journal of Dermatology. 160(3). 519–526. 49 indexed citations

20.

Morales, María–Celia, Gorka Pérez‐Yarza, María Dolores Boyano, et al.. (2007). 4-HPR-mediated leukemia cell cytotoxicity is triggered by ceramide-induced mitochondrial oxidative stress and is regulated downstream by Bcl-2. Free Radical Research. 41(5). 591–601. 25 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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