Elena Piñeiro-Yáñez

15.1k total citations
13 papers, 269 citations indexed

About

Elena Piñeiro-Yáñez is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Elena Piñeiro-Yáñez has authored 13 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 5 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Elena Piñeiro-Yáñez's work include Cancer Genomics and Diagnostics (6 papers), Brain Metastases and Treatment (2 papers) and Bioinformatics and Genomic Networks (2 papers). Elena Piñeiro-Yáñez is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Brain Metastases and Treatment (2 papers) and Bioinformatics and Genomic Networks (2 papers). Elena Piñeiro-Yáñez collaborates with scholars based in Spain, United States and United Kingdom. Elena Piñeiro-Yáñez's co-authors include Fátima Al‐Shahrour, Patrick M. Helbling, Steffen Boettcher, Markus G. Manz, Rahel Gerosa, César Nombela‐Arrieta, Javier Perales-Patón, Gonzalo Goméz-López, Héctor Tejero and Pedro P. López‐Casas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Elena Piñeiro-Yáñez

13 papers receiving 269 citations

Peers

Elena Piñeiro-Yáñez
Comparison fields: 5 of 52
  • Molecular Biology 122
  • Cancer Research 98
  • Oncology 61
  • Immunology 61
  • Hematology 53
Liran Zhou United States
Mara Mazzoni Italy
Tetsuhiro Kasamatsu Japan
Desheng Kong China
Lorenza Maltese Italy
Chun Jin China
E. L. Woodward Sweden
Giacomo Tuana Italy
Siyu Gu China
Maciej Szydłowski Poland
Liran Zhou United States View profile →
Citations per field, relative to Elena Piñeiro-Yáñez
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Citations per year, relative to Elena Piñeiro-Yáñez
Elena Piñeiro-Yáñez · 1×

Countries citing papers authored by Elena Piñeiro-Yáñez

Since Specialization
Citations

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

Fields of papers citing papers by Elena Piñeiro-Yáñez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elena Piñeiro-Yáñez. 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 Elena Piñeiro-Yáñez. The network helps show where Elena Piñeiro-Yáñez may publish in the future.

Co-authorship network of co-authors of Elena Piñeiro-Yáñez

This figure shows the co-authorship network connecting the top 25 collaborators of Elena Piñeiro-Yáñez. A scholar is included among the top collaborators of Elena Piñeiro-Yáñez 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 Elena Piñeiro-Yáñez. Elena Piñeiro-Yáñez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Title Journal Authors Indexed citations
1 Type I interferon signaling pathway enhances immune-checkpoint inhibition in KRAS mutant lung tumors Proceedings of the National Academy of Sciences Ana Fernández‐Rodríguez, Coral Fustero‐Torre et al. 9
2 Hepatic nutrient and hormone signaling to mTORC1 instructs the postnatal metabolic zonation of the liver Nature Communications Nerea Deleyto-Seldas, Fernando Garcı́a et al. 4
3 PanDrugs2: prioritizing cancer therapies using integrated individual multi-omics data Nucleic Acids Research Elena Piñeiro-Yáñez, Hugo López-Fernández et al. 5
4 In Silico Drug Prescription for Targeting Cancer Patient Heterogeneity and Prediction of Clinical Outcome Cancers Elena Piñeiro-Yáñez, Gonzalo Goméz-López et al. 5
5 The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data BMC Cancer Pablo Fernández‐Navarro, Pilar López‐Nieva et al. 5
6 Global Transcriptomic Profiling of the Bone Marrow Stromal Microenvironment during Postnatal Development, Aging, and Inflammation Cell Reports Patrick M. Helbling, Elena Piñeiro-Yáñez et al. 92
7 vulcanSpot: a tool to prioritize therapeutic vulnerabilities in cancer Bioinformatics Javier Perales-Patón, Tomás Di Domenico et al. 4
8 Abstract 2746: Stat3 labels a subpopulation of reactive astrocytes required for brain metastasis Tumor Biology Neibla Priego, Lucía Zhu et al. 3
9 Abstract 2746: Stat3 labels a subpopulation of reactive astrocytes required for brain metastasis Cancer Research Neibla Priego, Lucía Zhu et al. 2
10 PanDrugs: a novel method to prioritize anticancer drug treatments according to individual genomic data Genome Medicine Elena Piñeiro-Yáñez, Miguel Reboiro‐Jato et al. 60
11 Pancreas Cancer Precision Treatment Using Avatar Mice from a Bioinformatics Perspective Public Health Genomics Javier Perales-Patón, Elena Piñeiro-Yáñez et al. 6
12 High burden of copy number alterations and c-MYC amplification in prostate cancer from BRCA2 germline mutation carriers Annals of Oncology Elena Castro, Sarah Jugurnauth-Little et al. 25
13 MicroRNA deep-sequencing reveals master regulators of follicular and papillary thyroid tumors Modern Pathology Veronika Mančíková, Esmeralda Castelblanco et al. 49

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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