Daniel Hurley
Impact in
- Neurology top 10%
- Barrier Structure and Function Studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
Papers in
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- RNA Research and Splicing 5
- Bioinformatics and Genomic Networks 5
- Genomics and Chromatin Dynamics 4
- Gene Regulatory Network Analysis 4
- Epigenetics and DNA Methylation 3
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- MicroRNA in disease regulation 3
- Co-authors
- Edmund J. Crampin (13 shared papers)Cristin G. Print (10 shared papers)David Budden (5 shared papers)Joseph Cursons (6 shared papers)Justin Rustenhoven (1 shared paper)Deidre Jansson (1 shared paper)Edward Mee (1 shared paper)Richard L. M. Faull (1 shared paper)
- Journals
- PLoS ONE (3 papers)Epigenetics & Chromatin (2 papers)Briefings in Bioinformatics (2 papers)The Plant Journal (1 paper)Molecular Cancer (1 paper)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Daniel Hurley
26 papers receiving 686 citations
Peers
Comparison fields: 5 of 98
- Neurology 101
- Obstetrics and Gynecology 61
- Molecular Biology 392
- Cancer Research 80
- Developmental Neuroscience 21
Countries citing papers authored by Daniel Hurley
This map shows the geographic impact of Daniel Hurley'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 Hurley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hurley more than expected).
Fields of papers citing papers by Daniel Hurley
This network shows the impact of papers produced by Daniel Hurley. 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 Hurley. The network helps show where Daniel Hurley may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Hurley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 129 | |
| 2 | 2017 | 87 | |
| 3 | 2011 | 57 | |
| 4 | 2015 | 39 | |
| 5 | 2018 | 37 | |
| 6 | 2015 | 35 | |
| 7 | 2013 | 34 | |
| 8 | 2016 | 31 | |
| 9 | 2012 | 30 | |
| 10 | 2016 | 28 | |
| 11 | 2014 | 25 | |
| 12 | 2014 | 25 | |
| 13 | 2012 | 23 | |
| 14 | 2014 | 22 | |
| 15 | 2016 | 20 | |
| 16 | 2014 | 18 | |
| 17 | 2013 | 13 | |
| 18 | 2005 | 11 | |
| 19 | 2014 | 10 | |
| 20 | 2015 | 6 |
About Daniel Hurley
Daniel Hurley is a scholar working on Molecular Biology, Cancer Research, Obstetrics and Gynecology, Cell Biology and Immunology, having authored 26 papers that have together received 693 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Bioinformatics and Genomic Networks (5 papers), Genomics and Chromatin Dynamics (4 papers), Gene Regulatory Network Analysis (4 papers), MicroRNA in disease regulation (3 papers), Skin and Cellular Biology Research (3 papers), Epigenetics and DNA Methylation (3 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Neurology (101 citations), Obstetrics and Gynecology (61 citations), Molecular Biology (392 citations), Cancer Research (80 citations) and Developmental Neuroscience (21 citations). Daniel Hurley has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Edmund J. Crampin, Cristin G. Print, David Budden, Joseph Cursons, Justin Rustenhoven, Deidre Jansson, Edward Mee, Richard L. M. Faull, Robyn Oldfield and Sheryl Feng. Their work appears in journals such as PLoS ONE, Epigenetics & Chromatin, Briefings in Bioinformatics, The Plant Journal and Molecular Cancer.
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.