Daniel Barker
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Physiology top 5%
- Asthma and respiratory diseases
Papers in
- Physiology 20
- Smoking Behavior and Cessation 8
- Asthma and respiratory diseases 8
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- Pregnancy and Medication Impact 5
- Co-authors
- Patrick McElduff (6 shared papers)Peter G. Gibson (9 shared papers)Catherine D’Este (5 shared papers)Catherine Chojenta (5 shared papers)Deborah Loxton (5 shared papers)Michael J. Campbell (2 shared papers)Lisa G. Wood (2 shared papers)Kypros Kypri (2 shared papers)
- Journals
- BMJ Open (4 papers)Implementation Science (4 papers)Neuromodulation Technology at the Neural Interface (2 papers)Frontiers in Psychiatry (2 papers)BMC Health Services Research (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Daniel Barker
108 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 159
- Modeling and Simulation 93
- Physiology 329
- Public Health, Environmental and Occupational Health 234
- General Health Professions 177
- Pediatrics, Perinatology and Child Health 130
Countries citing papers authored by Daniel Barker
This map shows the geographic impact of Daniel Barker'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 Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Barker more than expected).
Fields of papers citing papers by Daniel Barker
This network shows the impact of papers produced by Daniel Barker. 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 Barker. The network helps show where Daniel Barker may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Barker, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 188 | |
| 2 | 2010 | 125 | |
| 3 | 2016 | 106 | |
| 4 | 2020 | 95 | |
| 5 | 2020 | 76 | |
| 6 | 2020 | 76 | |
| 7 | 2018 | 63 | |
| 8 | 2013 | 54 | |
| 9 | 2019 | 54 | |
| 10 | 2008 | 50 | |
| 11 | 2021 | 47 | |
| 12 | 2012 | 44 | |
| 13 | 2013 | 43 | |
| 14 | 2006 | 41 | |
| 15 | 2016 | 41 | |
| 16 | 2010 | 40 | |
| 17 | 2019 | 30 | |
| 18 | 2021 | 29 | |
| 19 | 2013 | 29 | |
| 20 | 2017 | 26 |
About Daniel Barker
Daniel Barker is a scholar working on Physiology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, General Health Professions and Oncology, having authored 111 papers that have together received 2.0k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (8 papers), Asthma and respiratory diseases (8 papers), Pregnancy and Medication Impact (5 papers), Cancer survivorship and care (4 papers), Pancreatic function and diabetes (4 papers), COVID-19 epidemiological studies (4 papers), Health Policy Implementation Science (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). The work is most often cited by research in Modeling and Simulation (93 citations), Physiology (329 citations), Public Health, Environmental and Occupational Health (234 citations), General Health Professions (177 citations) and Pediatrics, Perinatology and Child Health (130 citations). Daniel Barker has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Patrick McElduff, Peter G. Gibson, Catherine D’Este, Catherine Chojenta, Deborah Loxton, Michael J. Campbell, Lisa G. Wood, Kypros Kypri, Joanne Smart and Hayley A. Scott. Their work appears in journals such as BMJ Open, Implementation Science, Neuromodulation Technology at the Neural Interface, Frontiers in Psychiatry and BMC Health Services Research.
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.