Daniel Oliver
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- CRISPR and Genetic Engineering
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
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- CRISPR and Genetic Engineering 5
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- RNA regulation and disease 2
- Advanced biosensing and bioanalysis techniques 1
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- Chromosomal and Genetic Variations 4
- Co-authors
- Wei Yan (7 shared papers)Shuiqiao Yuan (4 shared papers)Omar S. Akbari (2 shared papers)Chi-Yun Pai (2 shared papers)Andrew Schuster (2 shared papers)Huili Zheng (3 shared papers)Brian J. Sheehan (1 shared paper)Joseph V. Bonventre (1 shared paper)
- Journals
- PLoS ONE (2 papers)BMC Cell Biology (2 papers)Scientific Reports (1 paper)Journal of Biological Chemistry (1 paper)RNA (1 paper)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Daniel Oliver
10 papers receiving 281 citations
Peers
Comparison fields: 5 of 59
- Aging 27
- Molecular Biology 232
- Cancer Research 32
- Genetics 57
- Nephrology 9
Countries citing papers authored by Daniel Oliver
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 70 | |
| 2 | 2015 | 46 | |
| 3 | 2015 | 37 | |
| 4 | 2010 | 36 | |
| 5 | 2020 | 27 | |
| 6 | 2014 | 26 | |
| 7 | 2009 | 25 | |
| 8 | 2015 | 12 | |
| 9 | 2019 | 8 | |
| 10 | 2024 | 1 |
About Daniel Oliver
Daniel Oliver is a scholar working on Molecular Biology, Plant Science, Genetics, Surgery and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 288 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Chromosomal and Genetic Variations (4 papers), Genomics and Chromatin Dynamics (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), RNA Research and Splicing (2 papers), RNA regulation and disease (2 papers), Pancreatic function and diabetes (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Aging (27 citations), Molecular Biology (232 citations), Cancer Research (32 citations), Genetics (57 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, Joseph V. Bonventre, Shimyn Slomovic and Matthew J. Pezone. Their work appears in journals such as PLoS ONE, BMC Cell Biology, Scientific Reports, Journal of Biological Chemistry and RNA.
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.