Silvia Espejel

914 total citations
8 papers, 665 citations indexed

About

Silvia Espejel is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Silvia Espejel has authored 8 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Physiology and 1 paper in Surgery. Recurrent topics in Silvia Espejel's work include Telomeres, Telomerase, and Senescence (5 papers), Pluripotent Stem Cells Research (3 papers) and DNA Repair Mechanisms (3 papers). Silvia Espejel is often cited by papers focused on Telomeres, Telomerase, and Senescence (5 papers), Pluripotent Stem Cells Research (3 papers) and DNA Repair Mechanisms (3 papers). Silvia Espejel collaborates with scholars based in Spain, United States and France. Silvia Espejel's co-authors include Marı́a A. Blasco, Peter Klatt, Juan Martín‐Caballero, Juana M. Flores, Guillermo E. Taccioli, K. John McLaughlin, Garrett R. Roll, Holger Willenbring, Marta Martı́n and Shinya Yamanaka and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Silvia Espejel

8 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Silvia Espejel Spain	8	498	321	101	93	89	8	665
Kodandaramireddy Nalapareddy United States	12	549 1.1×	159 0.5×	240 2.4×	65 0.7×	78 0.9×	17	806
Pooja Chaudhari United States	8	385 0.8×	61 0.2×	22 0.2×	87 0.9×	19 0.2×	14	503
Valentina Rapisarda United Kingdom	8	299 0.6×	76 0.2×	95 0.9×	20 0.2×	15 0.2×	8	504
Hazel A. Cruickshanks United Kingdom	9	810 1.6×	284 0.9×	53 0.5×	18 0.2×	74 0.8×	10	969
Deborah Pajalunga Italy	12	435 0.9×	55 0.2×	169 1.7×	31 0.3×	12 0.1×	17	523
Noa Lamm Australia	11	437 0.9×	153 0.5×	59 0.6×	16 0.2×	30 0.3×	16	539
Siham Yennek Denmark	10	286 0.6×	98 0.3×	37 0.4×	104 1.1×	30 0.3×	12	431
Nobuko Katoku-Kikyo United States	12	529 1.1×	73 0.2×	48 0.5×	65 0.7×	29 0.3×	14	621
Erik Voets Netherlands	7	349 0.7×	52 0.2×	78 0.8×	32 0.3×	36 0.4×	8	481
Yonghak Kim United States	5	533 1.1×	91 0.3×	22 0.2×	198 2.1×	9 0.1×	6	663

Countries citing papers authored by Silvia Espejel

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Espejel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Espejel

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

All Works

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8 of 8 papers shown

1.

Espejel, Silvia, Sigrid Eckardt, Jack W. Harbell, et al.. (2014). Brief Report: Parthenogenetic Embryonic Stem Cells are an Effective Cell Source for Therapeutic Liver Repopulation. Stem Cells. 32(7). 1983–1988. 17 indexed citations

2.

Espejel, Silvia, Garrett R. Roll, K. John McLaughlin, et al.. (2010). Induced pluripotent stem cell–derived hepatocytes have the functional and proliferative capabilities needed for liver regeneration in mice. Journal of Clinical Investigation. 120(9). 3120–3126. 137 indexed citations

3.

Espejel, Silvia, Ricardo Romero, & Arturo Álvarez-Buylla. (2009). Radiation damage increases Purkinje neuron heterokaryons in neonatal cerebellum. Annals of Neurology. 66(1). 100–109. 29 indexed citations

4.

Espejel, Silvia, Marta Martı́n, Peter Klatt, et al.. (2004). Shorter telomeres, accelerated ageing and increased lymphoma in DNA‐PKcs‐deficient mice. EMBO Reports. 5(5). 503–509. 99 indexed citations

5.

Espejel, Silvia, Peter Klatt, Josiane Ménissier‐de Murcia, et al.. (2004). Impact of telomerase ablation on organismal viability, aging, and tumorigenesis in mice lacking the DNA repair proteins PARP-1, Ku86, or DNA-PKcs. The Journal of Cell Biology. 167(4). 627–638. 69 indexed citations

6.

Espejel, Silvia. (2002). Mammalian Ku86 mediates chromosomal fusions and apoptosis caused by critically short telomeres. The EMBO Journal. 21(9). 2207–2219. 173 indexed citations

7.

Espejel, Silvia, Sonia Franco, Antonella Sgura, et al.. (2002). Functional interaction between DNA-PKcs and telomerase in telomere length maintenance. The EMBO Journal. 21(22). 6275–6287. 104 indexed citations

8.

Espejel, Silvia & Marı́a A. Blasco. (2002). Identification of Telomere-Dependent “Senescence-like” Arrest in Mouse Embryonic Fibroblasts. Experimental Cell Research. 276(2). 242–248. 37 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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