Víctor González‐Rumayor

747 total citations
16 papers, 478 citations indexed

About

Víctor González‐Rumayor is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Víctor González‐Rumayor has authored 16 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Víctor González‐Rumayor's work include Cancer Genomics and Diagnostics (5 papers), Single-cell and spatial transcriptomics (3 papers) and Glioma Diagnosis and Treatment (2 papers). Víctor González‐Rumayor is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Single-cell and spatial transcriptomics (3 papers) and Glioma Diagnosis and Treatment (2 papers). Víctor González‐Rumayor collaborates with scholars based in Spain, United States and Sweden. Víctor González‐Rumayor's co-authors include Pedro Carmona‐Sáez, Jordi Martorell‐Marugán, Ángel Ayuso‐Sacido, Marta E. Alarcón‐Riquelme, Raúl López-Domínguez, Noemí Garcia‐Romero, Daniel Toro‐Domínguez, Josefa Carrión-Navarro, Adrián García-Moreno and Estela Sánchez‐Herrero and has published in prestigious journals such as Bioinformatics, International Journal of Molecular Sciences and Biosensors and Bioelectronics.

In The Last Decade

Víctor González‐Rumayor

15 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Víctor González‐Rumayor Spain 10 277 203 93 87 50 16 478
Virginia Di Paolo Italy 12 217 0.8× 138 0.7× 65 0.7× 62 0.7× 38 0.8× 22 372
Joanna Budna Poland 15 304 1.1× 168 0.8× 111 1.2× 170 2.0× 89 1.8× 60 737
Pezhman Fard‐Esfahani Iran 16 405 1.5× 277 1.4× 40 0.4× 80 0.9× 23 0.5× 44 670
Elisa Napolitano Ferreira Brazil 14 354 1.3× 207 1.0× 122 1.3× 188 2.2× 46 0.9× 37 616
Mark Wappett United Kingdom 10 256 0.9× 140 0.7× 56 0.6× 144 1.7× 57 1.1× 18 477
Kagenori Ito Japan 10 378 1.4× 235 1.2× 106 1.1× 76 0.9× 45 0.9× 24 524
Deepak Kumar Singh United States 14 543 2.0× 450 2.2× 57 0.6× 181 2.1× 77 1.5× 33 850
Nan Du China 15 438 1.6× 341 1.7× 148 1.6× 167 1.9× 55 1.1× 27 713
Wei-Chieh Huang Taiwan 12 393 1.4× 239 1.2× 61 0.7× 135 1.6× 67 1.3× 22 578
Miguel G. Silva Germany 9 533 1.9× 350 1.7× 69 0.7× 160 1.8× 89 1.8× 14 689

Countries citing papers authored by Víctor González‐Rumayor

Since Specialization
Citations

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

Fields of papers citing papers by Víctor González‐Rumayor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Víctor González‐Rumayor. 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 Víctor González‐Rumayor. The network helps show where Víctor González‐Rumayor may publish in the future.

Co-authorship network of co-authors of Víctor González‐Rumayor

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

All Works

16 of 16 papers shown
1.
Pujol-Canadell, Mònica, Juan S. López, E. Martinez, et al.. (2025). Correlation between DNA double strand breaks and cell death in peripheral blood lymphocytes from breast cancer patients. International Journal of Radiation Biology. 101(10). 1027–1037.
2.
3.
Sánchez, Marta, Ana Cristina Abreu, Pradeep K. Divakar, et al.. (2024). Electrospun nanofibers for localized drug release of a neuroprotective natural extract of Usnea ghattensis. European Journal of Pharmaceutics and Biopharmaceutics. 205. 114552–114552. 2 indexed citations
4.
Garcia‐Romero, Noemí, Josefa Carrión-Navarro, Raúl Torres, et al.. (2024). ddPCR Overcomes the CRISPR-Cas13a-Based Technique for the Detection of the BRAF p.V600E Mutation in Liquid Biopsies. International Journal of Molecular Sciences. 25(20). 10902–10902. 4 indexed citations
5.
Contreras‐Cáceres, Rafael, Gloria Perazzoli, Marco Filice, et al.. (2023). Improved antitumor activity through a tyramidyl maslinic acid derivative. Design and validation as drug-loaded electrospun polymeric nanofibers. European Journal of Pharmaceutics and Biopharmaceutics. 193. 241–253. 2 indexed citations
6.
Sánchez‐Herrero, Estela, et al.. (2022). Circulating Tumor DNA as a Cancer Biomarker: An Overview of Biological Features and Factors That may Impact on ctDNA Analysis. Frontiers in Oncology. 12. 943253–943253. 80 indexed citations
7.
Martorell‐Marugán, Jordi, Raúl López-Domínguez, Adrián García-Moreno, et al.. (2021). A comprehensive database for integrated analysis of omics data in autoimmune diseases. BMC Bioinformatics. 22(1). 343–343. 20 indexed citations
8.
Garcia‐Romero, Noemí, et al.. (2021). Clinical Utility of Liquid Biopsy-Based Actionable Mutations Detected via ddPCR. Biomedicines. 9(8). 906–906. 37 indexed citations
9.
Sánchez‐Herrero, Estela, Roberto Serna‐Blasco, Rosario García‐Campelo, et al.. (2021). NGS‐based liquid biopsy profiling identifies mechanisms of resistance to ALK inhibitors: a step toward personalized NSCLC treatment. Molecular Oncology. 15(9). 2363–2376. 14 indexed citations
10.
Rackov, Gorjana, Daniel Uribe, Claudia Quezada, et al.. (2020). Potential Therapeutic Effects of the Neural Stem Cell-Targeting Antibody Nilo1 in Patient-Derived Glioblastoma Stem Cells. Frontiers in Oncology. 10. 1665–1665. 4 indexed citations
11.
Martorell‐Marugán, Jordi, Víctor González‐Rumayor, & Pedro Carmona‐Sáez. (2019). mCSEA: detecting subtle differentially methylated regions. Bioinformatics. 35(18). 3257–3262. 35 indexed citations
12.
Garcia‐Romero, Noemí, Rodrigo Madurga, Gorjana Rackov, et al.. (2019). Polyethylene glycol improves current methods for circulating extracellular vesicle-derived DNA isolation. Journal of Translational Medicine. 17(1). 75–75. 88 indexed citations
13.
Puig, Pere, Nadina Erill, Isaac Subirana, et al.. (2019). Multiple immunofluorescence assay identifies upregulation of Active β-catenin in prostate cancer. BMC Research Notes. 12(1). 68–68. 2 indexed citations
14.
Garcia‐Romero, Noemí, Josefa Carrión-Navarro, Ana Ortiz de Méndivil, et al.. (2019). BRAF V600E Detection in Liquid Biopsies from Pediatric Central Nervous System Tumors. Cancers. 12(1). 66–66. 36 indexed citations
15.
Toro‐Domínguez, Daniel, Jordi Martorell‐Marugán, Raúl López-Domínguez, et al.. (2018). ImaGEO: integrative gene expression meta-analysis from GEO database. Bioinformatics. 35(5). 880–882. 105 indexed citations
16.
Santiago, Llipsy, Cheikh Menaa, Maykel Arias, et al.. (2016). Granzyme A Contributes to Inflammatory Arthritis in Mice Through Stimulation of Osteoclastogenesis. Arthritis & Rheumatology. 69(2). 320–334. 31 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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