Guillermo E. Rivas
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Genetic Syndromes and Imprinting
Papers in
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- Epigenetics and DNA Methylation 6
- Gene expression and cancer classification 1
- Genetics 7
- Genetic Syndromes and Imprinting 5
- Genetics and Neurodevelopmental Disorders 1
- BRCA gene mutations in cancer 1
- Co-authors
- Garrett P. Larson (7 shared papers)Piroska E. Szabó (5 shared papers)Purnima Singh (5 shared papers)Pål Sætrom (2 shared papers)David Smith (2 shared papers)Gerd P. Pfeifer (3 shared papers)Theodore G. Krontiris (3 shared papers)Diana A. Tran (2 shared papers)
- Journals
- Epigenetics (2 papers)PLoS ONE (2 papers)Cancer Research (2 papers)Breast Cancer Research (2 papers)Frontiers in Veterinary Science (1 paper)
- Partner nations
- United StatesNorwaySpain
In The Last Decade
Guillermo E. Rivas
13 papers receiving 353 citations
Peers
Comparison fields: 5 of 53
- Cancer Research 106
- Genetics 99
- Molecular Biology 216
- Pediatrics, Perinatology and Child Health 50
- Health, Toxicology and Mutagenesis 38
Countries citing papers authored by Guillermo E. Rivas
This map shows the geographic impact of Guillermo E. Rivas'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 Guillermo E. Rivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo E. Rivas more than expected).
Fields of papers citing papers by Guillermo E. Rivas
This network shows the impact of papers produced by Guillermo E. Rivas. 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 Guillermo E. Rivas. The network helps show where Guillermo E. Rivas may publish in the future.
Co-authors
The 25 scholars most cited alongside Guillermo E. Rivas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 119 | |
| 2 | 2011 | 61 | |
| 3 | 2008 | 40 | |
| 4 | 2010 | 28 | |
| 5 | 2010 | 27 | |
| 6 | 2004 | 26 | |
| 7 | 2010 | 24 | |
| 8 | 2012 | 15 | |
| 9 | 2008 | 11 | |
| 10 | 2011 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2005 | 2 | |
| 13 | 2005 | 1 |
About Guillermo E. Rivas
Guillermo E. Rivas is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Cancer Research and Oncology, having authored 13 papers that have together received 361 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Genetic Syndromes and Imprinting (5 papers), Prenatal Screening and Diagnostics (4 papers), MicroRNA in disease regulation (2 papers), Acute Myeloid Leukemia Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Gene expression and cancer classification (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Cancer Research (106 citations), Genetics (99 citations), Molecular Biology (216 citations), Pediatrics, Perinatology and Child Health (50 citations) and Health, Toxicology and Mutagenesis (38 citations). Guillermo E. Rivas has collaborated with scholars based in United States, Norway and Spain. Frequent co-authors include Garrett P. Larson, Piroska E. Szabó, Purnima Singh, Pål Sætrom, David Smith, Gerd P. Pfeifer, Theodore G. Krontiris, Diana A. Tran, Khursheed Iqbal and John M. Kirkwood. Their work appears in journals such as Epigenetics, PLoS ONE, Cancer Research, Breast Cancer Research and Frontiers in Veterinary Science.
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.