Efren Sandoval

2.9k citations
4 papers · 393 · h-index 4

Impact in

  • Genetics top 10%
    • Genomics and Rare Diseases
    • Genetic Associations and Epidemiology
    • Genomic variations and chromosomal abnormalities

Papers in

    • Pluripotent Stem Cells Research 2
    • Epigenetics and DNA Methylation 1
    • Cancer-related gene regulation 1
    • CRISPR and Genetic Engineering 1
    • Genomics and Phylogenetic Studies 1
    • Genomic variations and chromosomal abnormalities 3
    • Genomics and Rare Diseases 2
    • Genetic Associations and Epidemiology 1

Efren Sandoval

4 papers receiving 390 citations

Peers

Efren Sandoval
Comparison fields: 5 of 80
  • Genetics 183
  • Aging 7
  • Molecular Biology 258
  • Cancer Research 47
  • Health Informatics 2
Replace Cheng Cui with:
Cheng Cui United States
Thomas Juettemann United Kingdom
Jennifer Doig United Kingdom
Dongchan Yang South Korea
George J. Kargul United States
Tristin Liu United States
Zachary Zappala United States
Qiaoyan Yang China
Aaron Hardin United States
Advait Limaye United States
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Citations per field
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Citations per year

Countries citing papers authored by Efren Sandoval

Since Specialization
Citations

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

Fields of papers citing papers by Efren Sandoval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Efren Sandoval, 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 Efren Sandoval Line = papers co-authored together Efren Sandoval links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 2016195
2 201797
3 202076
4 201725

About Efren Sandoval

Efren Sandoval is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 393 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (3 papers), Genomics and Rare Diseases (2 papers), Pluripotent Stem Cells Research (2 papers), Epigenetics and DNA Methylation (1 paper), Cancer-related gene regulation (1 paper), Genetic Associations and Epidemiology (1 paper), CRISPR and Genetic Engineering (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Genetics (183 citations), Aging (7 citations), Molecular Biology (258 citations), Cancer Research (47 citations) and Health Informatics (2 citations). Efren Sandoval has collaborated with scholars based in United States. Frequent co-authors include William Biggs, Naisha Shah, Chad Garner, Ahmed Moustafa, J. Craig Venter, Suzanne Brewerton, Amalio Telenti, Martin M. Fabani, Franz Josef Och and Julia di Iulio. Their work appears in journals such as Cell stem cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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