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 4
- Bioinformatics and Genomic Networks 4
- Genomics and Chromatin Dynamics 3
- Gene Regulatory Network Analysis 3
- Gene expression and cancer classification 2
- Epigenetics and DNA Methylation 2
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- MicroRNA in disease regulation 2
- Co-authors
- Edmund J. Crampin (13 shared papers)Cristin G. Print (10 shared papers)David Budden (5 shared papers)Robyn Oldfield (1 shared paper)Richard L. M. Faull (1 shared paper)Sheryl Feng (1 shared paper)Deidre Jansson (1 shared paper)Mike Dragunow (1 shared paper)
- Journals
- PLoS ONE (3 papers)Briefings in Bioinformatics (2 papers)Epigenetics & Chromatin (2 papers)Journal of Neuroinflammation (1 paper)The Plant Journal (1 paper)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Daniel Hurley
26 papers receiving 698 citations
Peers
Comparison fields: 5 of 95
- Neurology 99
- Obstetrics and Gynecology 54
- Developmental Neuroscience 21
- Cancer Research 74
- Molecular Biology 359
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 | 131 | |
| 2 | 2017 | 90 | |
| 3 | 2011 | 57 | |
| 4 | 2015 | 39 | |
| 5 | 2018 | 37 | |
| 6 | 2015 | 36 | |
| 7 | 2013 | 34 | |
| 8 | 2016 | 32 | |
| 9 | 2012 | 30 | |
| 10 | 2016 | 29 | |
| 11 | 2014 | 26 | |
| 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, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 702 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Bioinformatics and Genomic Networks (4 papers), Pregnancy and preeclampsia studies (3 papers), Genomics and Chromatin Dynamics (3 papers), Gene Regulatory Network Analysis (3 papers), Gene expression and cancer classification (2 papers), Epigenetics and DNA Methylation (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Neurology (99 citations), Obstetrics and Gynecology (54 citations), Developmental Neuroscience (21 citations), Cancer Research (74 citations) and Molecular Biology (359 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, Robyn Oldfield, Richard L. M. Faull, Sheryl Feng, Deidre Jansson, Mike Dragunow, Joseph Cursons and Peter Bergin. Their work appears in journals such as PLoS ONE, Briefings in Bioinformatics, Epigenetics & Chromatin, Journal of Neuroinflammation and The Plant 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.