Elsa Vera

4.4k total citations · 1 hit paper
19 papers, 3.2k citations indexed

About

Elsa Vera is a scholar working on Physiology, Molecular Biology and Aging. According to data from OpenAlex, Elsa Vera has authored 19 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 8 papers in Molecular Biology and 8 papers in Aging. Recurrent topics in Elsa Vera's work include Telomeres, Telomerase, and Senescence (15 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers) and Pluripotent Stem Cells Research (2 papers). Elsa Vera is often cited by papers focused on Telomeres, Telomerase, and Senescence (15 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers) and Pluripotent Stem Cells Research (2 papers). Elsa Vera collaborates with scholars based in Spain, United States and Czechia. Elsa Vera's co-authors include Marı́a A. Blasco, Bruno Bernardes de Jesus, Águeda M. Tejera, Lorenz Studer, Andrés Canela, Kerstin Schneeberger, Calvin B. Harley, Peter Klatt, Eduard Ayuso and Fátima Bosch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Genes & Development.

In The Last Decade

Elsa Vera

19 papers receiving 3.2k citations

Hit Papers

Human iPSC-Based Modeling of Late-Onset Disease via Proge... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elsa Vera Spain 19 1.8k 1.7k 817 278 212 19 3.2k
Derviş A. Salih United Kingdom 18 1.3k 0.8× 552 0.3× 324 0.4× 218 0.8× 80 0.4× 29 2.2k
Gregory C. Kujoth United States 18 2.7k 1.5× 933 0.6× 481 0.6× 323 1.2× 61 0.3× 36 3.7k
Melanie Clements United Kingdom 29 2.1k 1.2× 710 0.4× 295 0.4× 661 2.4× 184 0.9× 48 3.9k
Pedro Sousa‐Victor Spain 21 2.0k 1.2× 942 0.6× 340 0.4× 190 0.7× 366 1.7× 27 2.9k
Iain C. A. F. Robinson United Kingdom 33 1.6k 0.9× 1.1k 0.6× 292 0.4× 244 0.9× 194 0.9× 71 4.7k
Elizabeth A. Pollina United States 13 1.7k 1.0× 457 0.3× 289 0.4× 196 0.7× 86 0.4× 15 2.7k
Carl E.G. Bruder Sweden 19 2.2k 1.3× 548 0.3× 373 0.5× 244 0.9× 89 0.4× 33 3.2k
Patricia Leneuve France 14 1.1k 0.6× 916 0.6× 989 1.2× 143 0.5× 122 0.6× 22 2.7k
Liviu Aron United States 14 1.3k 0.8× 626 0.4× 175 0.2× 504 1.8× 70 0.3× 20 2.4k
Tea Shavlakadze Australia 23 1.3k 0.8× 944 0.6× 272 0.3× 111 0.4× 147 0.7× 40 2.4k

Countries citing papers authored by Elsa Vera

Since Specialization
Citations

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

Fields of papers citing papers by Elsa Vera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elsa Vera

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

All Works

19 of 19 papers shown
1.
Whittemore, Kurt, Elsa Vera, Eva Martínez‐Nevado, Carola Sanpera, & Marı́a A. Blasco. (2019). Telomere shortening rate predicts species life span. Proceedings of the National Academy of Sciences. 116(30). 15122–15127. 247 indexed citations
2.
Llaguno, Sheila R. Alcantara, Daochun Sun, Alicia Pedraza, et al.. (2019). Cell-of-origin susceptibility to glioblastoma formation declines with neural lineage restriction. Nature Neuroscience. 22(4). 545–555. 95 indexed citations
3.
Vera, Elsa, Nazario Bosco, & Lorenz Studer. (2016). Generating Late-Onset Human iPSC-Based Disease Models by Inducing Neuronal Age-Related Phenotypes through Telomerase Manipulation. Cell Reports. 17(4). 1184–1192. 124 indexed citations
4.
Studer, Lorenz, Elsa Vera, & Daniela Cornacchia. (2015). Programming and Reprogramming Cellular Age in the Era of Induced Pluripotency. Cell stem cell. 16(6). 591–600. 131 indexed citations
5.
Vera, Elsa & Lorenz Studer. (2015). When rejuvenation is a problem: challenges of modeling late-onset neurodegenerative disease. Development. 142(18). 3085–3089. 36 indexed citations
6.
Mondal, Abdul M., Izumi Horikawa, Sharon R. Pine, et al.. (2013). p53 isoforms regulate aging- and tumor-associated replicative senescence in T lymphocytes. Journal of Clinical Investigation. 123(12). 5247–5257. 123 indexed citations
7.
Vera, Elsa, Bruno Bernardes de Jesus, Miguel Foronda, Juana M. Flores, & Marı́a A. Blasco. (2013). Telomerase Reverse Transcriptase Synergizes with Calorie Restriction to Increase Health Span and Extend Mouse Longevity. PLoS ONE. 8(1). e53760–e53760. 86 indexed citations
8.
Miller, Justine D., Yosif Ganat, Sarah Kishinevsky, et al.. (2013). Human iPSC-Based Modeling of Late-Onset Disease via Progerin-Induced Aging. Cell stem cell. 13(6). 691–705. 549 indexed citations breakdown →
9.
Vera, Elsa, Bruno Bernardes de Jesus, Miguel Foronda, Juana M. Flores, & Marı́a A. Blasco. (2012). The Rate of Increase of Short Telomeres Predicts Longevity in Mammals. Cell Reports. 2(4). 732–737. 164 indexed citations
10.
Jesus, Bruno Bernardes de, Elsa Vera, Kerstin Schneeberger, et al.. (2012). Telomerase gene therapy in adult and old mice delays aging and increases longevity without increasing cancer. EMBO Molecular Medicine. 4(8). 691–704. 377 indexed citations
11.
Vera, Elsa & Marı́a A. Blasco. (2012). Beyond average: potential for measurement of short telomeres. Aging. 4(6). 379–392. 71 indexed citations
12.
Elvsåshagen, Torbjørn, Elsa Vera, Erlend Bøen, et al.. (2011). The load of short telomeres is increased and associated with lifetime number of depressive episodes in bipolar II disorder. Journal of Affective Disorders. 135(1-3). 43–50. 100 indexed citations
13.
Jesus, Bruno Bernardes de, Kerstin Schneeberger, Elsa Vera, et al.. (2011). The telomerase activator TA‐65 elongates short telomeres and increases health span of adult/old mice without increasing cancer incidence. Aging Cell. 10(4). 604–621. 258 indexed citations
14.
Harley, Calvin B., Wei‐Min Liu, Marı́a A. Blasco, et al.. (2010). A Natural Product Telomerase Activator As Part of a Health Maintenance Program. Rejuvenation Research. 14(1). 45–56. 138 indexed citations
15.
Cipriano, Catia, Silvia Tesei, Marco Malavolta, et al.. (2009). Accumulation of Cells With Short Telomeres Is Associated With Impaired Zinc Homeostasis and Inflammation in Old Hypertensive Participants. The Journals of Gerontology Series A. 64A(7). 745–751. 23 indexed citations
16.
Vera, Elsa, Andrés Canela, Mario F. Fraga, Manel Esteller, & Marı́a A. Blasco. (2008). Epigenetic regulation of telomeres in human cancer. Oncogene. 27(54). 6817–6833. 106 indexed citations
17.
Flores, Ignacio, Andrés Canela, Elsa Vera, et al.. (2008). The longest telomeres: a general signature of adult stem cell compartments. Genes & Development. 22(5). 654–667. 265 indexed citations
18.
Jaco, Isabel, Andrés Canela, Elsa Vera, & Marı́a A. Blasco. (2008). Centromere mitotic recombination in mammalian cells. The Journal of Cell Biology. 181(6). 885–892. 103 indexed citations
19.
Canela, Andrés, Elsa Vera, Peter Klatt, & Marı́a A. Blasco. (2007). High-throughput telomere length quantification by FISH and its application to human population studies. Proceedings of the National Academy of Sciences. 104(13). 5300–5305. 248 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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