Eva Porlan

895 total citations
17 papers, 720 citations indexed

About

Eva Porlan is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eva Porlan has authored 17 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Developmental Neuroscience and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eva Porlan's work include Epigenetics and DNA Methylation (7 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and Cancer-related Molecular Pathways (5 papers). Eva Porlan is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and Cancer-related Molecular Pathways (5 papers). Eva Porlan collaborates with scholars based in Spain, Italy and United Kingdom. Eva Porlan's co-authors include Isabel Fariñas, Sacri R. Ferrón, José Manuel Morante‐Redolat, Ana C. Delgado, Ana Pérez‐Villalba, Anxo Vidal, María Ángeles Marqués‐Torrejón, Pilar D’Ocón, Óscar Fernández-Capetillo and Josema Torres and has published in prestigious journals such as Nature Communications, Neuron and Nature Neuroscience.

In The Last Decade

Eva Porlan

17 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Porlan Spain 13 441 296 153 110 96 17 720
Koji Oishi Japan 9 607 1.4× 231 0.8× 228 1.5× 150 1.4× 144 1.5× 16 924
Carmen Ramírez‐Castillejo Spain 12 333 0.8× 203 0.7× 100 0.7× 129 1.2× 109 1.1× 32 678
Alexandra Chicheportiche France 12 508 1.2× 224 0.8× 83 0.5× 113 1.0× 93 1.0× 13 763
Ana C. Delgado Switzerland 10 420 1.0× 417 1.4× 158 1.0× 49 0.4× 118 1.2× 14 709
Celia Andreu-Agulló United States 8 717 1.6× 390 1.3× 180 1.2× 98 0.9× 193 2.0× 12 1.0k
Yong‐Xing Zhou United States 12 552 1.3× 423 1.4× 248 1.6× 116 1.1× 143 1.5× 14 950
Robert C. Burrows United States 14 354 0.8× 253 0.9× 213 1.4× 88 0.8× 95 1.0× 17 774
Shu-Mien Chuang Taiwan 5 434 1.0× 474 1.6× 223 1.5× 93 0.8× 124 1.3× 5 867
Yasuhito Tokumoto Japan 14 520 1.2× 320 1.1× 88 0.6× 106 1.0× 119 1.2× 25 897
Marcel Dautzenberg Germany 6 643 1.5× 226 0.8× 194 1.3× 85 0.8× 151 1.6× 6 962

Countries citing papers authored by Eva Porlan

Since Specialization
Citations

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

Fields of papers citing papers by Eva Porlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Porlan

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Porlan. A scholar is included among the top collaborators of Eva Porlan 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 Eva Porlan. Eva Porlan 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.
Sebastián‐Serrano, Álvaro, María Santos‐Galindo, Cristina Clemente, et al.. (2025). Down-regulation of neuroprotective protein kinase D in Huntington´s disease. Cell Death and Disease. 16(1). 418–418. 1 indexed citations
2.
Puerto, Ana del, Celia López‐Menéndez, Fabrizia Cesca, et al.. (2023). Kidins220 sets the threshold for survival of neural stem cells and progenitors to sustain adult neurogenesis. Cell Death and Disease. 14(8). 500–500. 3 indexed citations
3.
Domingo-Muelas, Ana, José Manuel Morante‐Redolat, Verónica Moncho-Amor, et al.. (2023). The rates of adult neurogenesis and oligodendrogenesis are linked to cell cycle regulation through p27-dependent gene repression of SOX2. Cellular and Molecular Life Sciences. 80(1). 36–36. 5 indexed citations
4.
Puerto, Ana del, Celia López‐Menéndez, Antonio J. Jiménez, et al.. (2021). Kidins220 deficiency causes ventriculomegaly via SNX27-retromer-dependent AQP4 degradation. Molecular Psychiatry. 26(11). 6411–6426. 17 indexed citations
5.
Morante‐Redolat, José Manuel & Eva Porlan. (2019). Neural Stem Cell Regulation by Adhesion Molecules Within the Subependymal Niche. Frontiers in Cell and Developmental Biology. 7. 102–102. 34 indexed citations
6.
Ibáñez, Ignacio, et al.. (2018). Identification of novel regulatory partners of the glutamate transporter GLT‐1. Glia. 66(12). 2737–2755. 17 indexed citations
7.
Porlan, Eva, et al.. (2016). Stable and Efficient Genetic Modification of Cells in the Adult Mouse V-SVZ for the Analysis of Neural Stem Cell Autonomous and Non-autonomous Effects. Journal of Visualized Experiments. 53282–53282. 2 indexed citations
8.
Quereda, Víctor, Eva Porlan, Marta Cañamero, Pierre Dubus, & Marcos Malumbres. (2015). An essential role for Ink4 and Cip/Kip cell-cycle inhibitors in preventing replicative stress. Cell Death and Differentiation. 23(3). 430–441. 18 indexed citations
9.
Delgado, Ana C., Sacri R. Ferrón, Eva Porlan, et al.. (2014). Endothelial NT-3 Delivered by Vasculature and CSF Promotes Quiescence of Subependymal Neural Stem Cells through Nitric Oxide Induction. Neuron. 83(3). 572–585. 146 indexed citations
10.
Porlan, Eva, José Manuel Morante‐Redolat, Antonella Consiglio, et al.. (2014). MT5-MMP regulates adult neural stem cell functional quiescence through the cleavage of N-cadherin. Nature Cell Biology. 16(7). 629–638. 87 indexed citations
11.
Eguren, Manuel, Eva Porlan, Eusebio Manchado, et al.. (2013). The APC/C cofactor Cdh1 prevents replicative stress and p53-dependent cell death in neural progenitors. Nature Communications. 4(1). 2880–2880. 48 indexed citations
12.
Porlan, Eva, José Manuel Morante‐Redolat, María Ángeles Marqués‐Torrejón, et al.. (2013). Transcriptional repression of Bmp2 by p21Waf1/Cip1 links quiescence to neural stem cell maintenance. Nature Neuroscience. 16(11). 1567–1575. 63 indexed citations
13.
Porlan, Eva, Ana Pérez‐Villalba, Ana C. Delgado, & Sacri R. Ferrón. (2012). Paracrine regulation of neural stem cells in the subependymal zone. Archives of Biochemistry and Biophysics. 534(1-2). 11–19. 16 indexed citations
14.
Marqués‐Torrejón, María Ángeles, Eva Porlan, Ana Banito, et al.. (2012). Cyclin-Dependent Kinase Inhibitor p21 Controls Adult Neural Stem Cell Expansion by Regulating Sox2 Gene Expression. Cell stem cell. 12(1). 88–100. 170 indexed citations
15.
Ferrón, Sacri R., Ariadna Laguna, Sergi Aranda, et al.. (2010). Regulated Segregation of Kinase Dyrk1A during Asymmetric Neural Stem Cell Division Is Critical for EGFR-Mediated Biased Signaling. Cell stem cell. 7(3). 367–379. 61 indexed citations
16.
Porlan, Eva, Óscar G. Vidaurre, & Angeles Rodrı́guez-Peña. (2007). Thyroid hormone receptor-β (TRβ1) impairs cell proliferation by the transcriptional inhibition of cyclins D1, E and A2. Oncogene. 27(19). 2795–2800. 19 indexed citations
17.
Porlan, Eva, Sonia Vega, Teresa Iglesias, & Angeles Rodrı́guez-Peña. (2004). Unliganded thyroid hormone receptor β1 inhibits proliferation of murine fibroblasts by delaying the onset of the G1 cell-cycle signals. Oncogene. 23(54). 8756–8765. 13 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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