Javier Pérez‐Peña

578 total citations
23 papers, 387 citations indexed

About

Javier Pérez‐Peña is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Javier Pérez‐Peña has authored 23 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Hematology. Recurrent topics in Javier Pérez‐Peña's work include Protein Degradation and Inhibitors (9 papers), Histone Deacetylase Inhibitors Research (6 papers) and Ubiquitin and proteasome pathways (5 papers). Javier Pérez‐Peña is often cited by papers focused on Protein Degradation and Inhibitors (9 papers), Histone Deacetylase Inhibitors Research (6 papers) and Ubiquitin and proteasome pathways (5 papers). Javier Pérez‐Peña collaborates with scholars based in Spain, Hungary and Canada. Javier Pérez‐Peña's co-authors include Atanasio Pandiella, Alberto Ocaña, Verónica Corrales‐Sánchez, Eitan Amir, Cristina Nieto‐Jiménez, Balázs Győrffy, Eva María Galán‐Moya, María del Mar Noblejas‐López, Juan Carlos Montero and Gemma Serrano‐Heras and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Javier Pérez‐Peña

23 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Pérez‐Peña Spain 14 247 115 80 56 48 23 387
Lany Ruslim United States 6 308 1.2× 155 1.3× 39 0.5× 86 1.5× 45 0.9× 6 514
Brian K. Rundall United States 10 345 1.4× 196 1.7× 98 1.2× 88 1.6× 33 0.7× 12 475
Akito Nakamura Japan 8 326 1.3× 119 1.0× 56 0.7× 31 0.6× 45 0.9× 13 424
Joe Lyssikatos United States 6 380 1.5× 207 1.8× 36 0.5× 80 1.4× 54 1.1× 8 502
Urs J. Hancox United Kingdom 8 280 1.1× 86 0.7× 61 0.8× 130 2.3× 47 1.0× 14 394
Shweta Kotian United States 9 336 1.4× 110 1.0× 88 1.1× 50 0.9× 17 0.4× 10 420
Marty J. Heslin United States 5 245 1.0× 104 0.9× 51 0.6× 20 0.4× 33 0.7× 7 329
Steven Do United States 7 293 1.2× 154 1.3× 37 0.5× 86 1.5× 49 1.0× 10 499
Sara Davenport United Kingdom 6 170 0.7× 225 2.0× 87 1.1× 73 1.3× 22 0.5× 9 422
Saveur-Michel Maira Switzerland 6 323 1.3× 79 0.7× 51 0.6× 50 0.9× 18 0.4× 8 424

Countries citing papers authored by Javier Pérez‐Peña

Since Specialization
Citations

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

Fields of papers citing papers by Javier Pérez‐Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Pérez‐Peña. 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 Javier Pérez‐Peña. The network helps show where Javier Pérez‐Peña may publish in the future.

Co-authorship network of co-authors of Javier Pérez‐Peña

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Pérez‐Peña. A scholar is included among the top collaborators of Javier Pérez‐Peña 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 Javier Pérez‐Peña. Javier Pérez‐Peña 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.
Pérez‐Peña, Javier, Jesús Fuentes‐Antrás, Aránzazu Manzano, et al.. (2021). Genomic Correlates of DNA Damage in Breast Cancer Subtypes. Cancers. 13(9). 2117–2117. 7 indexed citations
2.
Corrales‐Sánchez, Verónica, María del Mar Noblejas‐López, Cristina Nieto‐Jiménez, et al.. (2020). Pharmacological screening and transcriptomic functional analyses identify a synergistic interaction between dasatinib and olaparib in triple‐negative breast cancer. Journal of Cellular and Molecular Medicine. 24(5). 3117–3127. 13 indexed citations
3.
Serrano‐Oviedo, Leticia, Cristina Nieto‐Jiménez, Miguel Burgos, et al.. (2020). Identification of a stemness-related gene panel associated with BET inhibition in triple negative breast cancer. Cellular Oncology. 43(3). 431–444. 16 indexed citations
4.
Pérez‐Peña, Javier, Cristina Nieto‐Jiménez, Eva María Galán‐Moya, et al.. (2019). Mapping Bromodomains in breast cancer and association with clinical outcome. Scientific Reports. 9(1). 5734–5734. 16 indexed citations
5.
Noblejas‐López, María del Mar, Cristina Nieto‐Jiménez, Javier Pérez‐Peña, et al.. (2019). Genetic mutational status of genes regulating epigenetics: Role of the histone methyltransferase KMT2D in triple negative breast tumors. PLoS ONE. 14(4). e0209134–e0209134. 20 indexed citations
6.
Díaz‐Rodríguez, Elena, Javier Pérez‐Peña, Carla Ríos‐Luci, et al.. (2019). TRAIL receptor activation overcomes resistance to trastuzumab in HER2 positive breast cancer cells. Cancer Letters. 453. 34–44. 15 indexed citations
7.
Pérez‐Peña, Javier, János Tibor Fekete, Mariona Baliu‐Piqué, et al.. (2019). A Transcriptomic Immunologic Signature Predicts Favorable Outcome in Neoadjuvant Chemotherapy Treated Triple Negative Breast Tumors. Frontiers in Immunology. 10. 2802–2802. 24 indexed citations
8.
Pérez‐Peña, Javier, Elena Díaz‐Rodríguez, Eduardo Sanz, & Atanasio Pandiella. (2019). Central Role of Cell Cycle Regulation in the Antitumoral Action of Ocoxin. Nutrients. 11(5). 1068–1068. 8 indexed citations
9.
Pérez‐Peña, Javier, János Tibor Fekete, Vanesa García‐Barberán, et al.. (2019). A transcriptomic immunologic signature predicts favorable outcome in neoadjuvant chemotherapy treated triple negative breast tumours. Annals of Oncology. 30. v509–v509. 1 indexed citations
10.
Pérez‐Peña, Javier, Balázs Győrffy, Eitan Amir, Atanasio Pandiella, & Alberto Ocaña. (2018). Epigenetic modulation of FOXM1-gene interacting network by BET inhibitors in breast cancer. Breast Cancer Research and Treatment. 172(3). 725–732. 11 indexed citations
11.
Pérez‐Peña, Javier, Cristina Nieto‐Jiménez, Atanasio Pandiella, et al.. (2018). Mapping Bromodomains in Breast Cancer and Its Association with Clinical Outcome. SSRN Electronic Journal. 1 indexed citations
12.
Pérez‐Peña, Javier, Verónica Corrales‐Sánchez, Eitan Amir, Atanasio Pandiella, & Alberto Ocaña. (2017). Ubiquitin-conjugating enzyme E2T (UBE2T) and denticleless protein homolog (DTL) are linked to poor outcome in breast and lung cancers. Scientific Reports. 7(1). 17530–17530. 55 indexed citations
13.
Nieto‐Jiménez, Cristina, Javier Pérez‐Peña, Verónica Corrales‐Sánchez, et al.. (2017). Targeting basal-like breast tumors with bromodomain and extraterminal domain (BET) and polo-like kinase inhibitors. Oncotarget. 8(12). 19478–19490. 23 indexed citations
14.
Pérez‐Peña, Javier, Gemma Serrano‐Heras, Juan Carlos Montero, et al.. (2016). In Silico Analysis Guides Selection of BET Inhibitors for Triple-Negative Breast Cancer Treatment. Molecular Cancer Therapeutics. 15(8). 1823–1833. 24 indexed citations
15.
Ocaña, Alberto, Javier Pérez‐Peña, Verónica Corrales‐Sánchez, et al.. (2016). Transcriptomic analyses identify association between mitotic kinases, PDZ-binding kinase and BUB1, and clinical outcome in breast cancer. Breast Cancer Research and Treatment. 156(1). 1–8. 7 indexed citations
16.
Ocaña, Alberto, Javier Pérez‐Peña, Gemma Serrano‐Heras, et al.. (2016). Abstract P3-14-11: Gene-expression analyses identify altered transcription factors and supports the antitumor activity of novel bromodomain inhibitors in triple negative breast cancer. Cancer Research. 76(4_Supplement). P3–14. 1 indexed citations
17.
Ocaña, Alberto, Javier Pérez‐Peña, Verónica Corrales‐Sánchez, et al.. (2016). In silico analyses identify gene-sets, associated with clinical outcome in ovarian cancer: role of mitotic kinases. Oncotarget. 7(16). 22865–22872. 21 indexed citations
18.
Nieto‐Jiménez, Cristina, et al.. (2016). DNA-damage related genes and clinical outcome in hormone receptor positive breast cancer. Oncotarget. 8(38). 62834–62841. 12 indexed citations
19.
Chioua, Mourad, Javier Pérez‐Peña, Ignacio Moraleda, et al.. (2015). Pyranopyrazolotacrines as Nonneurotoxic, Aβ-Anti-Aggregating and Neuroprotective Agents for Alzheimer's Disease. Future Medicinal Chemistry. 7(7). 845–855. 14 indexed citations
20.

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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