Sergio Casas‐Tintó

2.0k total citations
51 papers, 1.3k citations indexed

About

Sergio Casas‐Tintó is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Sergio Casas‐Tintó has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 18 papers in Cellular and Molecular Neuroscience and 16 papers in Cell Biology. Recurrent topics in Sergio Casas‐Tintó's work include Neurobiology and Insect Physiology Research (13 papers), Invertebrate Immune Response Mechanisms (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Sergio Casas‐Tintó is often cited by papers focused on Neurobiology and Insect Physiology Research (13 papers), Invertebrate Immune Response Mechanisms (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Sergio Casas‐Tintó collaborates with scholars based in Spain, United States and Switzerland. Sergio Casas‐Tintó's co-authors include Eduardo Moreno, Pedro Fernández-Fúnez, Diego E. Rincón-Limas, Melisa Gómez-Velázquez, Yan Zhang, Marta Portela, Fidel‐Nicolás Lolo, Christa Rhiner, Davide Soldini and Jesús M. López-Gay and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Sergio Casas‐Tintó

48 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Casas‐Tintó Spain 20 748 517 265 203 166 51 1.3k
Dmitry Poteryaev Russia 14 915 1.2× 616 1.2× 424 1.6× 174 0.9× 92 0.6× 30 1.7k
Emily M. Hatch United States 14 1.7k 2.2× 622 1.2× 142 0.5× 134 0.7× 181 1.1× 20 2.0k
Leeanne McGurk United States 16 1.1k 1.4× 172 0.3× 254 1.0× 117 0.6× 88 0.5× 19 1.5k
Leonardo Almeida‐Souza Belgium 15 880 1.2× 610 1.2× 366 1.4× 190 0.9× 95 0.6× 29 1.4k
Yanshan Fang China 21 895 1.2× 168 0.3× 307 1.2× 96 0.5× 67 0.4× 34 1.5k
Tomoyuki Yamanaka Japan 19 1.7k 2.2× 1.1k 2.2× 341 1.3× 129 0.6× 73 0.4× 46 2.3k
Rory Kirchner United States 21 994 1.3× 181 0.4× 309 1.2× 104 0.5× 175 1.1× 36 1.8k
Robert K. K. Lee United States 12 736 1.0× 235 0.5× 246 0.9× 240 1.2× 173 1.0× 15 1.1k
Timothy L. Megraw United States 28 1.6k 2.2× 1.1k 2.1× 143 0.5× 182 0.9× 103 0.6× 51 2.3k
Ikuko Iwamoto Japan 25 1.2k 1.7× 444 0.9× 243 0.9× 168 0.8× 62 0.4× 58 1.6k

Countries citing papers authored by Sergio Casas‐Tintó

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Casas‐Tintó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio Casas‐Tintó. 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 Sergio Casas‐Tintó. The network helps show where Sergio Casas‐Tintó may publish in the future.

Co-authorship network of co-authors of Sergio Casas‐Tintó

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Casas‐Tintó. A scholar is included among the top collaborators of Sergio Casas‐Tintó 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 Sergio Casas‐Tintó. Sergio Casas‐Tintó 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.
2.
Calvo, Enrique, Trevor Huyton, Liran Fu, et al.. (2022). Mechanical control of nuclear import by Importin-7 is regulated by its dominant cargo YAP. Nature Communications. 13(1). 1174–1174. 48 indexed citations
3.
Losada‐Pérez, María, et al.. (2022). Synaptic components are required for glioblastoma progression in Drosophila. PLoS Genetics. 18(7). e1010329–e1010329. 7 indexed citations
4.
Casas‐Tintó, Sergio, et al.. (2021). Modeling invasion patterns in the glioblastoma battlefield. PLoS Computational Biology. 17(1). e1008632–e1008632. 16 indexed citations
5.
Casas‐Tintó, Sergio, et al.. (2021). Neural functions of small heat shock proteins. Neural Regeneration Research. 17(3). 512–512. 14 indexed citations
6.
Portela, Marta, Teresa Mitchell, & Sergio Casas‐Tintó. (2020). Cell to cell communication mediates glioblastoma progression in Drosophila. Biology Open. 9(9). 9 indexed citations
7.
Segura‐Collar, Berta, Ricardo Gargini, Esther Hernández‐SanMiguel, et al.. (2020). The EGFR-TMEM167A-p53 Axis Defines the Aggressiveness of Gliomas. Cancers. 12(1). 208–208. 13 indexed citations
8.
Casas‐Tintó, Sergio & Alberto Ferrús. (2019). Troponin-I mediates the localization of selected apico-basal cell polarity signaling proteins. Journal of Cell Science. 132(8). 5 indexed citations
9.
Portela, Marta, Varun Venkataramani, Esther Seco, et al.. (2019). Glioblastoma cells vampirize WNT from neurons and trigger a JNK/MMP signaling loop that enhances glioblastoma progression and neurodegeneration. PLoS Biology. 17(12). e3000545–e3000545. 53 indexed citations
10.
Casas‐Tintó, Sergio & Marta Portela. (2019). Cytonemes, Their Formation, Regulation, and Roles in Signaling and Communication in Tumorigenesis. International Journal of Molecular Sciences. 20(22). 5641–5641. 20 indexed citations
11.
Casas‐Tintó, Sergio, et al.. (2019). PI3K activation prevents Aβ42-induced synapse loss and favors insoluble amyloid deposit formation. Molecular Biology of the Cell. 31(4). 244–260. 9 indexed citations
12.
Casas‐Tintó, Sergio, et al.. (2017). Drosophilaenhancer-Gal4 lines show ectopic expression during development. Royal Society Open Science. 4(3). 170039–170039. 30 indexed citations
13.
Casas‐Tintó, Sergio, Nianwei Lin, Michael Chung, et al.. (2014). An intergenic regulatory region mediates Drosophila Myc-induced apoptosis and blocks tissue hyperplasia. Oncogene. 34(18). 2385–2397. 19 indexed citations
14.
Zhang, Yan, Sergio Casas‐Tintó, Diego E. Rincón-Limas, & Pedro Fernández-Fúnez. (2014). Combined Pharmacological Induction of Hsp70 Suppresses Prion Protein Neurotoxicity in Drosophila. PLoS ONE. 9(2). e88522–e88522. 10 indexed citations
15.
Casas‐Tintó, Sergio, Yan Zhang, Jonatan Sanchez-Garcia, et al.. (2011). The ER stress factor XBP1s prevents amyloid-β neurotoxicity. Human Molecular Genetics. 20(11). 2144–2160. 224 indexed citations
16.
Casas‐Tintó, Sergio, Miguel Torres, & Eduardo Moreno. (2011). The flower code and cancer development. Clinical & Translational Oncology. 13(1). 5–9. 9 indexed citations
17.
Rhiner, Christa, Jesús M. López-Gay, Davide Soldini, et al.. (2010). Flower Forms an Extracellular Code that Reveals the Fitness of a Cell to its Neighbors in Drosophila. Developmental Cell. 18(6). 985–998. 160 indexed citations
18.
Fernández-Fúnez, Pedro, Sergio Casas‐Tintó, Yan Zhang, et al.. (2009). In Vivo Generation of Neurotoxic Prion Protein: Role for Hsp70 in Accumulation of Misfolded Isoforms. PLoS Genetics. 5(6). e1000507–e1000507. 62 indexed citations
19.
Casas‐Tintó, Sergio, et al.. (2007). Characterization of the Drosophila insulin receptor promoter. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1769(4). 236–243. 16 indexed citations
20.
Casas‐Tintó, Sergio, et al.. (2002). DmFoxF, a novel Drosophila fork head factor expressed in visceral mesoderm. Mechanisms of Development. 111(1-2). 163–166. 14 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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