Daniel Oliver

569 citations
11 papers · 305 · h-index 9

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • CRISPR and Genetic Engineering
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer

Papers in

    • CRISPR and Genetic Engineering 5
    • Genomics and Chromatin Dynamics 3
    • RNA regulation and disease 2
    • RNA Research and Splicing 2
    • Epigenetics and DNA Methylation 1
    • Chromosomal and Genetic Variations 3

Daniel Oliver

10 papers receiving 298 citations

Peers

Daniel Oliver
Comparison fields: 5 of 59
  • Aging 27
  • Molecular Biology 239
  • Cancer Research 31
  • Genetics 60
  • Nephrology 9
Replace Sarai Pacheco with:
Sarai Pacheco Spain
Rashmi U. Pathak India
Sarah J. Radford United States
Jennifer L. Semotok Canada
Sungjin Moon South Korea
Wei‐Siang Liau United States
Uwem C. Bassey United States
Susan M. Hiatt United States
Sally Fujiyama‐Nakamura Japan
Birgitta Gläser Germany
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Citations per field
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Sarai Pacheco · 1×
Citations per year

Countries citing papers authored by Daniel Oliver

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201972
2 201548
3 201545
4 201038
5 202028
6 200926
7 201426
8 201513
9 20198
10 20241
11 20240

About Daniel Oliver

Daniel Oliver is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Surgery, having authored 11 papers that have together received 305 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Chromatin Dynamics (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), MicroRNA in disease regulation (2 papers), RNA regulation and disease (2 papers), RNA Research and Splicing (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Aging (27 citations), Molecular Biology (239 citations), Cancer Research (31 citations), Genetics (60 citations) and Nephrology (9 citations). Daniel Oliver has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Wei Yan, Shuiqiao Yuan, Omar S. Akbari, Chi-Yun Pai, Andrew Schuster, Huili Zheng, Brian J. Sheehan, Ronglih Liao, Andyna Vernet and Xiaoming Sun. Their work appears in journals such as eLife, BMC Cell Biology, PLoS ONE, Mobile DNA and Scientific Reports.

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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