José Palacios

4.1k total citations
58 papers, 2.9k citations indexed

About

José Palacios is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, José Palacios has authored 58 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 21 papers in Molecular Biology and 17 papers in Cancer Research. Recurrent topics in José Palacios's work include Cancer-related Molecular Pathways (12 papers), HER2/EGFR in Cancer Research (7 papers) and Cancer Genomics and Diagnostics (6 papers). José Palacios is often cited by papers focused on Cancer-related Molecular Pathways (12 papers), HER2/EGFR in Cancer Research (7 papers) and Cancer Genomics and Diagnostics (6 papers). José Palacios collaborates with scholars based in Spain, United States and United Kingdom. José Palacios's co-authors include Gema Moreno‐Bueno, Héctor Hernández‐Vargas, David Sarrió, David Hardisson, Marı́a A. Blasco, María M. Caffarel, Cristina Sánchez, Manuel Guzmán, Manuel Serrano and Daniel Herranz and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Genetics.

In The Last Decade

José Palacios

56 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Palacios Spain 26 1.5k 870 441 365 290 58 2.9k
Arántzazu Alfranca Spain 33 1.5k 1.0× 772 0.9× 814 1.8× 203 0.6× 278 1.0× 70 3.3k
Farhat L. Khanim United Kingdom 29 1.4k 0.9× 621 0.7× 349 0.8× 348 1.0× 326 1.1× 65 2.6k
Tyler Lahusen United States 25 1.7k 1.2× 1.3k 1.4× 375 0.9× 533 1.5× 229 0.8× 35 3.2k
Wei Tang United States 29 1.5k 1.0× 691 0.8× 687 1.6× 255 0.7× 161 0.6× 88 2.8k
Francesca Pentimalli Italy 38 2.3k 1.5× 1.1k 1.2× 922 2.1× 289 0.8× 444 1.5× 120 3.8k
Sankar Addya United States 34 2.4k 1.6× 1.1k 1.2× 1.4k 3.1× 291 0.8× 293 1.0× 106 4.2k
Raphael A. Nemenoff United States 34 1.5k 1.0× 1.0k 1.2× 654 1.5× 165 0.5× 293 1.0× 75 3.4k
James P. O’Brien United States 21 1.9k 1.2× 2.5k 2.9× 626 1.4× 188 0.5× 112 0.4× 37 4.6k
Germán Pihán United States 26 2.3k 1.5× 1.0k 1.2× 500 1.1× 182 0.5× 340 1.2× 76 4.1k
Hiroshi Yasui Japan 31 3.0k 2.0× 1.3k 1.5× 415 0.9× 298 0.8× 266 0.9× 141 4.7k

Countries citing papers authored by José Palacios

Since Specialization
Citations

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

Fields of papers citing papers by José Palacios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Palacios

This figure shows the co-authorship network connecting the top 25 collaborators of José Palacios. A scholar is included among the top collaborators of José Palacios 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 José Palacios. José Palacios 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.
Carretero‐Barrio, Irene, et al.. (2025). Ipsilateral Breast Carcinoma Recurrence. The American Journal of Surgical Pathology. 49(3). 294–302. 1 indexed citations
2.
Matías‐Guiu, Xavier, Sigurd Lax, Maria Rosaria Raspollini, et al.. (2024). FIGO 2023 staging for endometrial cancer, when, if it is not now?. European Journal of Cancer. 213. 115115–115115. 3 indexed citations
3.
Ruz‐Caracuel, Ignacio, Teresa Alonso‐Gordoa, Irene Carretero‐Barrio, et al.. (2024). Transcriptomic Differences in Medullary Thyroid Carcinoma According to Grade. Endocrine Pathology. 35(3). 207–218. 4 indexed citations
4.
5.
Marión, Rosa M., Juán José Montero, Isabel López de Silanes, et al.. (2019). TERRA regulate the transcriptional landscape of pluripotent cells through TRF1-dependent recruitment of PRC2. eLife. 8. 44 indexed citations
6.
Freeman, Jane, Jon J. Vernon, K. Morris, et al.. (2019). Five-year Pan-European, longitudinal surveillance of Clostridium difficile ribotype prevalence and antimicrobial resistance: the extended ClosER study. European Journal of Clinical Microbiology & Infectious Diseases. 39(1). 169–177. 57 indexed citations
7.
8.
Schneider, Ralph P., Miguel Foronda, José Palacios, et al.. (2013). TRF1 is a stem cell marker and is essential for the generation of induced pluripotent stem cells. Nature Communications. 4(1). 1946–1946. 70 indexed citations
9.
Natrajan, Rachael, Alan Mackay, Paul M Wilkerson, et al.. (2012). Functional characterization of the 19q12 amplicon in grade III breast cancers. Breast Cancer Research. 14(2). R53–R53. 62 indexed citations
10.
Klingbeil, Pamela, Rachael Natrajan, Radost Vatcheva, et al.. (2009). CD44 is overexpressed in basal-like breast cancers but is not a driver of 11p13 amplification. Breast Cancer Research and Treatment. 120(1). 95–109. 51 indexed citations
11.
Reis‐Filho, Jorge S., Peter T. Simpson, Nicholas C. Turner, et al.. (2006). FGFR1 Emerges as a Potential Therapeutic Target for Lobular Breast Carcinomas. Clinical Cancer Research. 12(22). 6652–6662. 215 indexed citations
12.
Sarrió, David, Socorro Marıá Rodríguez-Pinilla, Ana Dotor, et al.. (2006). Abnormal ezrin localization is associated with clinicopathological features in invasive breast carcinomas. Breast Cancer Research and Treatment. 98(1). 71–79. 96 indexed citations
13.
14.
Mukai, Tetsu, Satoshi Komoto, Takeshi Kurosu, et al.. (2002). Construction and Characterization of an Infectious Molecular Clone Derived from the CRF01_AE Primary Isolate of HIV Type 1. AIDS Research and Human Retroviruses. 18(8). 585–589. 10 indexed citations
15.
Ibrahim, Madiha S., Makiko Watanabe, José Palacios, et al.. (2002). Varied Persistent Life Cycles of Borna Disease Virus in a Human Oligodendroglioma Cell Line. Journal of Virology. 76(8). 3873–3880. 6 indexed citations
16.
Jurado, J.M., R Martinez Gonzalez, Gemma Domínguez, et al.. (1999). Abnormal frequencies of alleles in polymorphic markers of the 17q21 region is associated with breast cancer. Cancer Letters. 138(1-2). 209–215. 3 indexed citations
17.
Sirvent, Juan J., Teresa Salvadó-Usach, Manel M. Santafé, et al.. (1995). p53 in breast cancer. Its relation to histological grade, lymph-node status, hormone receptors, cell-proliferation fraction (ki-67) and c-erbB-2. Immunohistochemical study of 153 cases.. PubMed. 10(3). 531–9. 27 indexed citations
18.
Palacios, José, et al.. (1995). Relationship between ERBB2 and E-cadherin expression in human breast cancer. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 427(3). 259–63. 15 indexed citations
19.
Sirvent, Juan J., et al.. (1994). Hormonal receptors, cell proliferation fraction (Ki-67) and c-erbB-2 amplification in breast cancer. Relationship between differentiation degree and axillary lymph node metastases.. PubMed. 9(3). 563–70. 5 indexed citations
20.
Sirvent, Juan J., et al.. (1974). Caspase-3 and caspase-6 in ductal breast carcinoma: a descriptive study.. PubMed. 21(12). 1321–9. 15 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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