Miguel Saceda

2.7k total citations
60 papers, 2.3k citations indexed

About

Miguel Saceda is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Miguel Saceda has authored 60 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 27 papers in Oncology and 23 papers in Genetics. Recurrent topics in Miguel Saceda's work include Estrogen and related hormone effects (20 papers), HER2/EGFR in Cancer Research (7 papers) and Histone Deacetylase Inhibitors Research (6 papers). Miguel Saceda is often cited by papers focused on Estrogen and related hormone effects (20 papers), HER2/EGFR in Cancer Research (7 papers) and Histone Deacetylase Inhibitors Research (6 papers). Miguel Saceda collaborates with scholars based in Spain, United States and Ecuador. Miguel Saceda's co-authors include Mary Beth Martin, Pilar García-Morales, Isabel Martínez-Lacaci, Montserrat Puente, Harrison B. Solomon, Estefanía Carrasco‐García, Adriana Stoica, Ralph K. Lindsey, P. Chambón and Mathurose Ponglikitmongkol and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Advanced Drug Delivery Reviews.

In The Last Decade

Miguel Saceda

58 papers receiving 2.2k citations

Peers

Miguel Saceda
Anni Wärri Finland
Jay Wimalasena United States
Raphael C. Guzman United States
Alan E. Wakeling United Kingdom
David A. Sirbasku United States
Alfred Gallegos United States
Daniel Logsdon United States
Miguel Saceda
Citations per year, relative to Miguel Saceda Miguel Saceda (= 1×) peers Yolande Berthois

Countries citing papers authored by Miguel Saceda

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Saceda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Saceda

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Saceda. A scholar is included among the top collaborators of Miguel Saceda 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 Miguel Saceda. Miguel Saceda 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.
Larriba, Eduardo, Camino de Juan Romero, Araceli García‐Martínez, et al.. (2024). Identification of new targets for glioblastoma therapy based on a DNA expression microarray. Computers in Biology and Medicine. 179. 108833–108833.
2.
Rizzuti, Bruno, J. Fernando Bazán, Miguel Saceda, et al.. (2023). The intrinsically disordered, epigenetic factor RYBP binds to the citrullinating enzyme PADI4 in cancer cells. International Journal of Biological Macromolecules. 246. 125632–125632. 6 indexed citations
3.
García-Morales, Pilar, et al.. (2023). Glioblastoma-Derived Small Extracellular Vesicles: Nanoparticles for Glioma Treatment. International Journal of Molecular Sciences. 24(6). 5910–5910. 14 indexed citations
4.
Saceda, Miguel, et al.. (2022). Biomedical application of small extracellular vesicles in cancer treatment. Advanced Drug Delivery Reviews. 182. 114117–114117. 34 indexed citations
5.
Ventero, María Paz, José Antonio Encinar, Pilar García-Morales, et al.. (2020). Differential Effects of IGF-1R Small Molecule Tyrosine Kinase Inhibitors BMS-754807 and OSI-906 on Human Cancer Cell Lines. Cancers. 12(12). 3717–3717. 26 indexed citations
6.
Carrasco‐García, Estefanía, Pilar García-Morales, Miguel Saceda, et al.. (2014). Comparative Study of 17-AAG and NVP-AUY922 in Pancreatic and Colorectal Cancer Cells: Are There Common Determinants of Sensitivity?. Translational Oncology. 7(5). 590–604. 28 indexed citations
7.
Ruiz‐Alcaraz, Antonio J., José A. Ferragut, Miguel Saceda, et al.. (2011). Acquisition of MDR phenotype by leukemic cells is associated with increased caspase‐3 activity and a collateral sensitivity to cold stress. Journal of Cellular Biochemistry. 113(4). 1416–1425. 6 indexed citations
8.
Carrasco‐García, Estefanía, Miguel Saceda, Lourdes Rocamora‐Reverte, et al.. (2011). Small tyrosine kinase inhibitors interrupt EGFR signaling by interacting with erbB3 and erbB4 in glioblastoma cell lines. Experimental Cell Research. 317(10). 1476–1489. 45 indexed citations
9.
Gómez‐Martínez, Ángeles, Pilar García-Morales, Alfredo Carrato, et al.. (2007). Post-transcriptional Regulation of P-Glycoprotein Expression in Cancer Cell Lines. Molecular Cancer Research. 5(6). 641–653. 35 indexed citations
10.
Martínez-Lacaci, Isabel, Pilar García-Morales, José Luís Soto, & Miguel Saceda. (2007). Tumour cells resistance in cancer therapy. Clinical & Translational Oncology. 9(1). 13–20. 23 indexed citations
11.
García-Morales, Pilar, Estefanía Carrasco‐García, María Piedad Menéndez-Gutierrez, et al.. (2007). Inhibition of Hsp90 function by ansamycins causes downregulation of cdc2 and cdc25c and G2/M arrest in glioblastoma cell lines. Oncogene. 26(51). 7185–7193. 56 indexed citations
12.
García-Morales, Pilar, Eva Hernando, Estefanía Carrasco‐García, et al.. (2006). Cyclin D3 is down-regulated by rapamycin in HER-2-overexpressing breast cancer cells. Molecular Cancer Therapeutics. 5(9). 2172–2181. 33 indexed citations
13.
Stoica, Adriana, et al.. (2000). Role of insulin-like growth factor-I in regulating estrogen receptor-? gene expression. Journal of Cellular Biochemistry. 76(4). 605–614. 75 indexed citations
14.
Wosikowski, Katja, Danita H. Schuurhuis, Geert J.P.L. Kops, Miguel Saceda, & Susan E. Bates. (1997). Altered gene expression in drug-resistant human breast cancer cells.. PubMed. 3(12 Pt 1). 2405–14. 74 indexed citations
15.
Martin, Mary Beth, Pilar García-Morales, Adriana Stoica, et al.. (1995). Effects of 12-O-Tetradecanoylphorbol-13-acetate on Estrogen Receptor Activity in MCF-7 Cells. Journal of Biological Chemistry. 270(42). 25244–25251. 32 indexed citations
16.
Martin, Mary Beth, Miguel Saceda, Pilar García-Morales, & Marco M. Gottardis. (1994). Regulation of estrogen receptor expression. Breast Cancer Research and Treatment. 31(2-3). 183–189. 18 indexed citations
17.
Martin, Mary Beth, Miguel Saceda, & Ralph K. Lindsey. (1993). Regulation of Estrogen Receptor Expression in Breast Cancer. Advances in experimental medicine and biology. 330. 143–153. 22 indexed citations
18.
Thompson, Erik W., Mary Beth Martin, Miguel Saceda, et al.. (1989). Regulation of Breast Cancer Cells by Hormones and Growth Factors: Effects on Proliferation and Basement Membrane Invasiveness. Hormone Research. 32(1). 242–249. 11 indexed citations
19.
Saceda, Miguel, et al.. (1988). Regulation of the Estrogen Receptor in MCF-7 Cells by Estradiol. Molecular Endocrinology. 2(12). 1157–1162. 300 indexed citations
20.
Saceda, Miguel, Pilar García-Morales, Isabel Valverde, & Willy Malaisse. (1983). Glucose-induced stimulation of lipid methylation in pancreatic islets. Diabetes. 32(1). 39. 1 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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