Ander Saenz‐Antoñanzas

551 total citations
17 papers, 377 citations indexed

About

Ander Saenz‐Antoñanzas is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Ander Saenz‐Antoñanzas has authored 17 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Ander Saenz‐Antoñanzas's work include Single-cell and spatial transcriptomics (3 papers), Glioma Diagnosis and Treatment (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Ander Saenz‐Antoñanzas is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Glioma Diagnosis and Treatment (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Ander Saenz‐Antoñanzas collaborates with scholars based in Spain, United Kingdom and Switzerland. Ander Saenz‐Antoñanzas's co-authors include Ander Matheu, Estefanía Carrasco‐García, Nicolàs Samprón, Jaione Auzmendi-Iriarte, David Otaegui, Mikel García-Puga, Leire Moreno‐Cugnon, Adolfo López de Munaín, María Álvarez‐Satta and Jorge Villanúa and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Cell Death and Disease.

In The Last Decade

Ander Saenz‐Antoñanzas

17 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ander Saenz‐Antoñanzas Spain 11 221 96 87 64 61 17 377
Kangyi Yue China 10 232 1.0× 104 1.1× 15 0.2× 33 0.5× 37 0.6× 17 432
Brynn H. Cardozo United States 5 212 1.0× 28 0.3× 48 0.6× 25 0.4× 16 0.3× 6 371
Jian Yin China 11 239 1.1× 200 2.1× 25 0.3× 66 1.0× 15 0.2× 27 444
Benedetta Parodi Italy 8 252 1.1× 67 0.7× 132 1.5× 48 0.8× 46 0.8× 10 577
Jinghui Lei China 11 311 1.4× 42 0.4× 25 0.3× 12 0.2× 102 1.7× 19 524
Yimin Huang China 10 224 1.0× 117 1.2× 41 0.5× 19 0.3× 49 0.8× 19 377
S. Hotop Switzerland 6 203 0.9× 41 0.4× 20 0.2× 53 0.8× 43 0.7× 6 368
Shunlei Duan China 5 306 1.4× 55 0.6× 37 0.4× 14 0.2× 43 0.7× 5 375
Anne Granger United States 10 594 2.7× 41 0.4× 21 0.2× 38 0.6× 23 0.4× 12 824
Patrícia Luciana da Costa Lopez Brazil 10 175 0.8× 24 0.3× 43 0.5× 37 0.6× 96 1.6× 21 317

Countries citing papers authored by Ander Saenz‐Antoñanzas

Since Specialization
Citations

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

Fields of papers citing papers by Ander Saenz‐Antoñanzas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ander Saenz‐Antoñanzas. 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 Ander Saenz‐Antoñanzas. The network helps show where Ander Saenz‐Antoñanzas may publish in the future.

Co-authorship network of co-authors of Ander Saenz‐Antoñanzas

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

All Works

17 of 17 papers shown
1.
Saenz‐Antoñanzas, Ander, Maider Muñoz‐Culla, Ainhoa Alberro, et al.. (2024). Centenarian hippocampus displays high levels of astrocytic metallothioneins. Aging Cell. 23(8). e14201–e14201. 5 indexed citations
2.
García-Puga, Mikel, Ander Saenz‐Antoñanzas, Gorka Gereñu, et al.. (2022). Senescence plays a role in myotonic dystrophy type 1. JCI Insight. 7(19). 13 indexed citations
3.
García-Puga, Mikel, Ander Saenz‐Antoñanzas, Ander Matheu, & Adolfo López de Munaín. (2022). Targeting Myotonic Dystrophy Type 1 with Metformin. International Journal of Molecular Sciences. 23(5). 2901–2901. 14 indexed citations
4.
Auzmendi-Iriarte, Jaione, Leire Moreno‐Cugnon, Ander Saenz‐Antoñanzas, et al.. (2022). High levels of HDAC expression correlate with microglial aging. Expert Opinion on Therapeutic Targets. 26(10). 911–922. 7 indexed citations
5.
Aldaz, Paula, Natalia Martín-Martín, Ander Saenz‐Antoñanzas, et al.. (2022). High SOX9 Maintains Glioma Stem Cell Activity through a Regulatory Loop Involving STAT3 and PML. International Journal of Molecular Sciences. 23(9). 4511–4511. 11 indexed citations
6.
Marcos-Pérez, Diego, Ander Saenz‐Antoñanzas, & Ander Matheu. (2021). Centenarians as models of healthy aging: Example of REST. Ageing Research Reviews. 70. 101392–101392. 13 indexed citations
7.
Saenz‐Antoñanzas, Ander, Verónica Moncho-Amor, Jaione Auzmendi-Iriarte, et al.. (2021). CRISPR/Cas9 Deletion of SOX2 Regulatory Region 2 (SRR2) Decreases SOX2 Malignant Activity in Glioblastoma. Cancers. 13(7). 1574–1574. 10 indexed citations
8.
Aldaz, Paula, Ander Saenz‐Antoñanzas, Mikel García-Puga, et al.. (2020). SOX9 promotes tumor progression through the axis BMI1-p21CIP. Scientific Reports. 10(1). 357–357. 32 indexed citations
9.
Auzmendi-Iriarte, Jaione, Ander Saenz‐Antoñanzas, Estefanía Carrasco‐García, et al.. (2020). Characterization of a new small-molecule inhibitor of HDAC6 in glioblastoma. Cell Death and Disease. 11(6). 417–417. 41 indexed citations
10.
Garces, Juan Pablo Domecq, et al.. (2020). CD8<sup>+</sup> T cells are present at low levels in the white matter with physiological and pathological aging. Aging. 12(19). 18928–18941. 8 indexed citations
11.
Moreno‐Cugnon, Leire, et al.. (2020). CD8+ T cells are increased in the subventricular zone with physiological and pathological aging. Aging Cell. 19(9). e13198–e13198. 19 indexed citations
12.
García-Puga, Mikel, Ander Saenz‐Antoñanzas, Roberto Fernández‐Torrón, Adolfo López de Munaín, & Ander Matheu. (2020). Myotonic Dystrophy type 1 cells display impaired metabolism and mitochondrial dysfunction that are reversed by metformin. Aging. 12(7). 6260–6275. 36 indexed citations
13.
Álvarez‐Satta, María, Alejandro Berna‐Erro, Estefanía Carrasco‐García, et al.. (2020). Relevance of oxidative stress and inflammation in frailty based on human studies and mouse models. Aging. 12(10). 9982–9999. 57 indexed citations
14.
Auzmendi-Iriarte, Jaione, et al.. (2019). P11.46 Discovery of a new HDAC6 inhibitor for the treatment of glioblastoma. Neuro-Oncology. 21(Supplement_3). iii53–iii54. 1 indexed citations
15.
Saenz‐Antoñanzas, Ander, Jaione Auzmendi-Iriarte, Estefanía Carrasco‐García, et al.. (2019). Liquid Biopsy in Glioblastoma: Opportunities, Applications and Challenges. Cancers. 11(7). 950–950. 94 indexed citations
16.
Aldaz, Paula, Jaione Auzmendi-Iriarte, Ander Saenz‐Antoñanzas, et al.. (2018). PR-LncRNA signature regulates glioma cell activity through expression of SOX factors. Scientific Reports. 8(1). 12746–12746. 11 indexed citations
17.
Saenz‐Antoñanzas, Ander, et al.. (2016). Laminin-adherent versus suspension-non-adherent cell culture conditions for the isolation of cancer stem cells in the DAOY medulloblastoma cell line. Tumor Biology. 37(9). 12359–12370. 5 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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