Renee Rubio

1.7k total citations
16 papers, 656 citations indexed

About

Renee Rubio is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Renee Rubio has authored 16 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Renee Rubio's work include Cancer-related molecular mechanisms research (6 papers), Molecular Biology Techniques and Applications (5 papers) and Gene expression and cancer classification (5 papers). Renee Rubio is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Molecular Biology Techniques and Applications (5 papers) and Gene expression and cancer classification (5 papers). Renee Rubio collaborates with scholars based in United States, Canada and France. Renee Rubio's co-authors include John Quackenbush, Kristina M. Holton, Yaoyu E. Wang, Aedín C. Culhane, Mick Correll, Eliza Wickham‐Garcia, Craig April, Ursula A. Matulonis, Jian‐Bing Fan and Fieda Abderazzaq and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

In The Last Decade

Renee Rubio

15 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renee Rubio United States 12 429 248 131 59 53 16 656
Laurence Lasorsa France 7 369 0.9× 176 0.7× 136 1.0× 62 1.1× 33 0.6× 7 580
Ritu Kulshrestha India 10 432 1.0× 290 1.2× 119 0.9× 60 1.0× 95 1.8× 35 647
Samah El Ghamrasni Canada 12 523 1.2× 274 1.1× 208 1.6× 30 0.5× 82 1.5× 16 752
Kathryn N. Phoenix United States 11 538 1.3× 259 1.0× 236 1.8× 20 0.3× 45 0.8× 16 758
Crystal M. Weyman United States 15 506 1.2× 175 0.7× 84 0.6× 21 0.4× 50 0.9× 26 658
Paul‐Joseph Aspuria United States 13 547 1.3× 197 0.8× 242 1.8× 29 0.5× 115 2.2× 22 808
Massimo Bogliolo Spain 16 608 1.4× 165 0.7× 122 0.9× 50 0.8× 37 0.7× 28 740
Sónia Moniz Portugal 14 452 1.1× 188 0.8× 153 1.2× 83 1.4× 111 2.1× 18 817
Yang An China 13 407 0.9× 292 1.2× 129 1.0× 37 0.6× 141 2.7× 55 678

Countries citing papers authored by Renee Rubio

Since Specialization
Citations

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

Fields of papers citing papers by Renee Rubio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renee Rubio

This figure shows the co-authorship network connecting the top 25 collaborators of Renee Rubio. A scholar is included among the top collaborators of Renee Rubio 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 Renee Rubio. Renee Rubio 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.
Lozano‐Calderón, Santiago A., Cassandra C. Garbutt, Jason Kim, et al.. (2019). Clinical and Molecular Analysis of Pathologic Fracture-associated Osteosarcoma: MicroRNA profile Is Different and Correlates with Prognosis. Clinical Orthopaedics and Related Research. 477(9). 2114–2126. 17 indexed citations
2.
Danielson, Kirsty, Renee Rubio, Fieda Abderazzaq, Saumya Das, & Yaoyu E. Wang. (2017). High Throughput Sequencing of Extracellular RNA from Human Plasma. PLoS ONE. 12(1). e0164644–e0164644. 56 indexed citations
3.
Olsen, Catharina, Renee Rubio, Frank Emmert‐Streib, et al.. (2015). Using shRNA experiments to validate gene regulatory networks. Genomics Data. 4. 123–126.
4.
Olsen, Catharina, Renee Rubio, Frank Emmert‐Streib, et al.. (2014). Inference and validation of predictive gene networks from biomedical literature and gene expression data. Genomics. 103(5-6). 329–336. 26 indexed citations
5.
Kelly, Andrew D., Katherine E. Hill, Mick Correll, et al.. (2013). Next-generation sequencing and microarray-based interrogation of microRNAs from formalin-fixed, paraffin-embedded tissue: Preliminary assessment of cross-platform concordance. Genomics. 102(1). 8–14. 23 indexed citations
6.
Bentink, Stefan, Benjamin Haibe‐Kains, Thomas S. Risch, et al.. (2012). Angiogenic mRNA and microRNA Gene Expression Signature Predicts a Novel Subtype of Serous Ovarian Cancer. PLoS ONE. 7(2). e30269–e30269. 76 indexed citations
7.
Fountzilas, Elena, Andrew D. Kelly, Antonio R. Pérez‐Atayde, et al.. (2012). A microRNA activity map of human mesenchymal tumors: connections to oncogenic pathways; an integrative transcriptomic study. BMC Genomics. 13(1). 332–332. 4 indexed citations
8.
Milbury, Coren A., Mick Correll, John Quackenbush, Renee Rubio, & G. Mike Makrigiorgos. (2011). COLD-PCR Enrichment of Rare Cancer Mutations prior to Targeted Amplicon Resequencing. Clinical Chemistry. 58(3). 580–589. 51 indexed citations
9.
Tseveleki, Vivian, Renee Rubio, Sotirios–Spyridon Vamvakas, et al.. (2010). Comparative gene expression analysis in mouse models for multiple sclerosis, Alzheimer's disease and stroke for identifying commonly regulated and disease-specific gene changes. Genomics. 96(2). 82–91. 69 indexed citations
10.
Zhao, Bo, Jessica C. Mar, Seiji Maruo, et al.. (2010). Epstein–Barr virus nuclear antigen 3C regulated genes in lymphoblastoid cell lines. Proceedings of the National Academy of Sciences. 108(1). 337–342. 42 indexed citations
11.
Chen, Dung‐Tsa, Aejaz Nasir, Aedín C. Culhane, et al.. (2009). Proliferative genes dominate malignancy-risk gene signature in histologically-normal breast tissue. Breast Cancer Research and Treatment. 119(2). 335–346. 115 indexed citations
12.
April, Craig, Brandy Klotzle, Thomas Royce, et al.. (2009). Whole-Genome Gene Expression Profiling of Formalin-Fixed, Paraffin-Embedded Tissue Samples. PLoS ONE. 4(12). e8162–e8162. 95 indexed citations
13.
Quackenbush, John, Jian‐Bing Fan, Michelle S. Hirsch, et al.. (2008). Molecular fingerprints and mechanisms of chemoresistance in ovarian cancer. Cancer Research. 68. 4128–4128. 1 indexed citations
14.
Kitami, Toshimori, Renee Rubio, William E. O’Brien, John Quackenbush, & Joseph H. Nadeau. (2008). Gene-environment interactions reveal a homeostatic role for cholesterol metabolism during dietary folate perturbation in mice. Physiological Genomics. 35(2). 182–190. 12 indexed citations
15.
Mar, Jessica C., Renee Rubio, & John Quackenbush. (2006). Inferring steady state single-cell gene expression distributions from analysis of mesoscopic samples. Genome biology. 7(12). R119–R119. 10 indexed citations
16.
Hackl, Hubert, Thomas R. Burkard, Alexander Sturn, et al.. (2005). Molecular processes during fat cell development revealed by gene expression profiling and functional annotation. Genome biology. 6(13). R108–R108. 59 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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