Diego Arenas‐Aranda

625 total citations
26 papers, 468 citations indexed

About

Diego Arenas‐Aranda is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Diego Arenas‐Aranda has authored 26 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Physiology. Recurrent topics in Diego Arenas‐Aranda's work include Telomeres, Telomerase, and Senescence (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Diego Arenas‐Aranda is often cited by papers focused on Telomeres, Telomerase, and Senescence (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Diego Arenas‐Aranda collaborates with scholars based in Mexico, Guatemala and Spain. Diego Arenas‐Aranda's co-authors include Mariana Díaz-Zaragoza, Rubí Viedma‐Rodríguez, Fabio Salamanca-Gómez, Luís Arturo Baiza-Gutman, Pedro Ostoa‐Saloma, Luis Benı́tez-Bribiesca, Blanca Murillo-Ortíz, Juan Manuel Malacara, Martha Alicia Hernández-Gonzalez and Sergio Solorio and has published in prestigious journals such as The Journal of Physical Chemistry A, BMC Cancer and Cytogenetic and Genome Research.

In The Last Decade

Diego Arenas‐Aranda

25 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Arenas‐Aranda Mexico 12 210 87 81 80 73 26 468
Georgia Arentz Australia 16 327 1.6× 45 0.5× 54 0.7× 63 0.8× 83 1.1× 23 592
Emma Black United Kingdom 8 436 2.1× 62 0.7× 53 0.7× 123 1.5× 133 1.8× 11 694
Isabel Ruppen Spain 8 436 2.1× 57 0.7× 53 0.7× 140 1.8× 167 2.3× 14 688
Piya Lahiry Canada 10 378 1.8× 122 1.4× 32 0.4× 77 1.0× 32 0.4× 16 642
Ahmed Atef Ibrahim United States 11 284 1.4× 139 1.6× 23 0.3× 138 1.7× 65 0.9× 19 540
Giovanna C. Cavalcante Brazil 14 329 1.6× 54 0.6× 35 0.4× 69 0.9× 48 0.7× 37 539
Jiewen Fu China 13 282 1.3× 84 1.0× 18 0.2× 113 1.4× 61 0.8× 47 601
Inga Kireeva Canada 9 404 1.9× 25 0.3× 65 0.8× 69 0.9× 37 0.5× 10 689
Hong Jin China 16 336 1.6× 25 0.3× 38 0.5× 53 0.7× 83 1.1× 33 597

Countries citing papers authored by Diego Arenas‐Aranda

Since Specialization
Citations

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

Fields of papers citing papers by Diego Arenas‐Aranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Arenas‐Aranda. 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 Diego Arenas‐Aranda. The network helps show where Diego Arenas‐Aranda may publish in the future.

Co-authorship network of co-authors of Diego Arenas‐Aranda

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Arenas‐Aranda. A scholar is included among the top collaborators of Diego Arenas‐Aranda 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 Diego Arenas‐Aranda. Diego Arenas‐Aranda 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.
Arenas‐Aranda, Diego, et al.. (2016). Shorter telomeres and high telomerase activity correlate with a highly aggressive phenotype in breast cancer cell lines. Tumor Biology. 37(9). 11917–11926. 19 indexed citations
2.
Viedma‐Rodríguez, Rubí, et al.. (2015). Involvement of multiple cellular pathways in regulating resistance to tamoxifen in BIK-suppressed MCF-7 cells. Tumor Biology. 36(9). 6991–7005. 4 indexed citations
3.
García-Hernández, Normand, et al.. (2015). Characterization of NF1 frameshift mutations in pediatric patients with neurofibromatosis type I. Genetics and Molecular Research. 14(3). 8326–8337. 1 indexed citations
4.
Díaz-Zaragoza, Mariana, et al.. (2015). Natural and adaptive IgM antibodies in the recognition of tumor-associated antigens of breast cancer (Review). Oncology Reports. 34(3). 1106–1114. 62 indexed citations
5.
Aguinaga‐Ríos, Mónica, et al.. (2014). Microtia-atresia: aspectos clínicos, genéticos y genómicos. Boletín Médico del Hospital Infantil de México. 71(6). 387–395. 4 indexed citations
6.
Viedma‐Rodríguez, Rubí, et al.. (2014). Mechanisms associated with resistance to tamoxifen in estrogen receptor-positive breast cancer (Review). Oncology Reports. 32(1). 3–15. 138 indexed citations
7.
Salamanca-Gómez, Fabio, et al.. (2014). Clinical and Molecular Characterization of a Patient with 15q21.2q22.2 Deletion Syndrome. Cytogenetic and Genome Research. 144(3). 183–189. 2 indexed citations
8.
Cedro‐Tanda, Alberto, et al.. (2014). Prevalence of HMTV in breast carcinomas and unaffected tissue from Mexican women. BMC Cancer. 14(1). 942–942. 17 indexed citations
9.
López‐Aguilar, Enrique, et al.. (2013). A proteomic approach of pediatric astrocytomas: MiRNAs and network insight. Journal of Proteomics. 94. 162–175. 16 indexed citations
10.
11.
Salamanca-Gómez, Fabio, et al.. (2012). Duplication of the Miller-Dieker Critical Region in a Patient with a Subtelomeric Unbalanced Translocation t(10;17)(p15.3;p13.3). Molecular Syndromology. 3(2). 82–88. 4 indexed citations
12.
García-Hernández, Normand, et al.. (2012). BIK/NBK gene as potential marker of prognostic and therapeutic target in breast cancer patients. Clinical & Translational Oncology. 14(8). 586–591. 8 indexed citations
13.
Sierra-Ramírez, José Alfredo, et al.. (2012). Polymorphism 677C→T MTHFR Gene in Mexican Mothers of Children With Complex Congenital Heart Disease. Pediatric Cardiology. 34(1). 46–51. 16 indexed citations
14.
Paniagua‐Contreras, Gloria Luz, et al.. (2012). Virulence Markers in <i>Staphylococcus aureus</i> Strains Isolated from Hemodialysis Catheters of Mexican Patients. Advances in Microbiology. 2(4). 476–487. 24 indexed citations
15.
Murillo-Ortíz, Blanca, Diego Arenas‐Aranda, Luis Benı́tez-Bribiesca, et al.. (2011). Telomere length and type 2 diabetes in males, a premature aging syndrome. The Aging Male. 15(1). 54–58. 49 indexed citations
16.
Solorio, Sergio, Blanca Murillo-Ortíz, Martha Alicia Hernández-Gonzalez, et al.. (2011). Association Between Telomere Length and C-Reactive Protein and the Development of Coronary Collateral Circulation in Patients with Coronary Artery Disease. Angiology. 62(6). 467–472. 13 indexed citations
17.
Salamanca-Gómez, Fabio, et al.. (2009). Role of telomere length in subtelomeric gene expression and its possible relation to cellular senescence. BMB Reports. 42(11). 747–751. 8 indexed citations
18.
Silva‐García, Raúl, et al.. (2008). The effect of an anti-inflammatory pentapeptide produced by Entamoeba histolytica on gene expression in the U-937 monocytic cell line. Inflammation Research. 57(4). 145–150. 14 indexed citations
19.
Peñaloza‐Espinosa, Rosenda I., Diego Arenas‐Aranda, Ricardo M. Cerda‐Flores, et al.. (2007). Characterization of mtDNA Haplogroups in 14 Mexican Indigenous Populations. Human Biology. 79(3). 313–320. 23 indexed citations
20.
Argüello-García, Raúl, et al.. (2006). FMR1 CGG Repeat Distribution and Linked Microsatellite-SNP Haplotypes in Normal Mexican Mestizo and Indigenous Populations. Human Biology. 78(5). 579–598. 2 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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