Robin Featherstone
- Nephrology top 2%
- Acute Kidney Injury Research 7
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- Meta-analysis and systematic reviews 14
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- Sepsis Diagnosis and Treatment 9
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- Neonatal Respiratory Health Research 8
- Respiratory Support and Mechanisms 5
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- Healthcare Systems and Technology 6
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- Pregnancy-related medical research 6
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- Infant Development and Preterm Care 5
- Co-authors
- Lisa HartlingBen VandermeerMegan NusplDonna M DrydenSean M. BagshawMeghan SebastianskiKassi ShaveManoj Kumar
- Journals
- BMJ Open (15 papers)Systematic Reviews (12 papers)Journal of the Medical Library Association JMLA (4 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Robin Featherstone
97 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Critical Care and Intensive Care Medicine 348
- Library and Information Sciences 63
- Nephrology 297
- Statistics, Probability and Uncertainty 282
- Endocrine and Autonomic Systems 212
Countries citing papers authored by Robin Featherstone
This map shows the geographic impact of Robin Featherstone'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 Robin Featherstone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Featherstone more than expected).
Fields of papers citing papers by Robin Featherstone
This network shows the impact of papers produced by Robin Featherstone. 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 Robin Featherstone. The network helps show where Robin Featherstone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robin Featherstone, 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 | 2020 | 0 | |
| 2 | 2020 | 42 | |
| 3 | 2020 | 90 | |
| 4 | 2019 | 32 | |
| 5 | 2019 | 0 | |
| 6 | 2019 | 4 | |
| 7 | 2019 | 2 | |
| 8 | 2018 | 15 | |
| 9 | 2018 | 16 | |
| 10 | 2018 | 1 | |
| 11 | 2017 | 29 | |
| 12 | 2017 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2016 | 4 | |
| 15 | 2016 | 14 | |
| 16 | 2016 | 61 | |
| 17 | 2015 | 11 | |
| 18 | 2015 | 56 | |
| 19 | 2015 | 24 | |
| 20 | 2013 | 11 |
About Robin Featherstone
Robin Featherstone is a scholar working on Statistics, Probability and Uncertainty, Nephrology, Health, Emergency Medical Services and Emergency Medicine, having authored 102 papers that have together received 3.5k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (14 papers), Sepsis Diagnosis and Treatment (9 papers), Neonatal Respiratory Health Research (8 papers), Acute Kidney Injury Research (7 papers), Healthcare Systems and Technology (6 papers), Pregnancy-related medical research (6 papers), Respiratory Support and Mechanisms (5 papers) and Infant Development and Preterm Care (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (348 citations), Library and Information Sciences (63 citations), Nephrology (297 citations), Statistics, Probability and Uncertainty (282 citations) and Endocrine and Autonomic Systems (212 citations). Robin Featherstone has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Lisa Hartling, Ben Vandermeer, Megan Nuspl, Donna M Dryden, Sean M. Bagshaw, Meghan Sebastianski, Kassi Shave, Manoj Kumar, Rshmi Khurana and Margie H. Davenport. Their work appears in journals such as BMJ Open, Systematic Reviews, Journal of the Medical Library Association JMLA, Journal of Clinical Epidemiology and Critical Care.
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.