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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- Pregnancy and preeclampsia studies 3
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- Bioinformatics and Genomic Networks 4
- RNA Research and Splicing 4
- Gene Regulatory Network Analysis 3
- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 2
- Gene expression and cancer classification 2
- Co-authors
- Edmund J. Crampin (13 shared papers)Cristin Gregor Print (10 shared papers)David Budden (5 shared papers)Joseph Cursons (6 shared papers)Robyn L. Oldfield (1 shared paper)Mike Dragunow (1 shared paper)Peter Bergin (1 shared paper)Sheryl Xia Feng (1 shared paper)
- Journals
- PLoS ONE (3 papers)Briefings in Bioinformatics (2 papers)Epigenetics & Chromatin (2 papers)Journal of Neurochemistry (1 paper)Biophysical Journal (1 paper)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Daniel Hurley
25 papers receiving 737 citations
Peers
Comparison fields: 5 of 95
- Neurology 105
- Obstetrics and Gynecology 59
- Developmental Neuroscience 25
- Molecular Biology 383
- Cancer Research 76
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 137 | |
| 2 | 2017 | 95 | |
| 3 | 2011 | 62 | |
| 4 | 2018 | 43 | |
| 5 | 2015 | 42 | |
| 6 | 2015 | 39 | |
| 7 | 2013 | 35 | |
| 8 | 2016 | 33 | |
| 9 | 2016 | 30 | |
| 10 | 2012 | 30 | |
| 11 | 2014 | 28 | |
| 12 | 2014 | 27 | |
| 13 | 2012 | 24 | |
| 14 | 2014 | 23 | |
| 15 | 2016 | 21 | |
| 16 | 2014 | 18 | |
| 17 | 2013 | 14 | |
| 18 | 2005 | 11 | |
| 19 | 2014 | 10 | |
| 20 | 2015 | 6 |
About Daniel Hurley
Daniel Hurley is a scholar working on Obstetrics and Gynecology, Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience and Information Systems and Management, having authored 25 papers that have together received 741 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), RNA Research and Splicing (4 papers), Gene Regulatory Network Analysis (3 papers), Genomics and Chromatin Dynamics (3 papers), Pregnancy and preeclampsia studies (3 papers), Neonatal Respiratory Health Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Neurology (105 citations), Obstetrics and Gynecology (59 citations), Developmental Neuroscience (25 citations), Molecular Biology (383 citations) and Cancer Research (76 citations). Daniel Hurley has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Edmund J. Crampin, Cristin Gregor Print, David Budden, Joseph Cursons, Robyn L. Oldfield, Mike Dragunow, Peter Bergin, Sheryl Xia Feng, Richard L. M. Faull and Justin Rustenhoven. Their work appears in journals such as PLoS ONE, Briefings in Bioinformatics, Epigenetics & Chromatin, Journal of Neurochemistry and Biophysical Journal.
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.