Guillermo E. Rivas

452 citations
13 papers · 358 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Genetic Syndromes and Imprinting

Papers in

    • Epigenetics and DNA Methylation 6
    • Genomics and Chromatin Dynamics 2
    • Gene expression and cancer classification 2
    • Genetic Syndromes and Imprinting 5

Guillermo E. Rivas

13 papers receiving 350 citations

Peers

Guillermo E. Rivas
Comparison fields: 5 of 60
  • Cancer Research 127
  • Genetics 107
  • Molecular Biology 251
  • Health, Toxicology and Mutagenesis 41
  • Pediatrics, Perinatology and Child Health 54
Replace Kamilla Schlade‐Bartusiak with:
Kamilla Schlade‐Bartusiak Canada
Andreas Plesch Germany
Andrew J. Pellatt United States
Christine B. Ambrosone United States
Fulvio D’Angelo Italy
Jeff Yuenger United States
Guiqiang Du China
Pablo Ruíz-Flores Mexico
Roy Joseph Singapore
Majdina Isovic Canada
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Citations per field
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Kamilla Schlade‐Bartusiak · 1×
Citations per year

Countries citing papers authored by Guillermo E. Rivas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Guillermo E. Rivas Line = papers co-authored together Guillermo E. Rivas links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2009118
2 201160
3 200840
4 201028
5 201027
6 200426
7 201024
8 201215
9 200811
10 20114
11 20232
12 20052
13 20051

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 358 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), Genomics and Chromatin Dynamics (2 papers), Gene expression and cancer classification (2 papers), Pharmacological Effects and Toxicity Studies (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Cancer Research (127 citations), Genetics (107 citations), Molecular Biology (251 citations), Health, Toxicology and Mutagenesis (41 citations) and Pediatrics, Perinatology and Child Health (54 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 James A. Stewart. Their work appears in journals such as Epigenetics, Breast Cancer Research, PLoS ONE, 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.

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