David William Howells
Impact in
- Neurology top 0.1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Traumatic Brain Injury and Neurovascular Disturbances
- Neurological Disease Mechanisms and Treatments
- Small Animals top 0.02%
- Animal testing and alternatives
Papers in
- Neurology 39
- Neuroinflammation and Neurodegeneration Mechanisms 26
- Neurological Disease Mechanisms and Treatments 15
- Parkinson's Disease Mechanisms and Treatments 12
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- Animal testing and alternatives 34
- Co-authors
- Malcolm Robert Macleod (51 shared papers)Geoffrey Alan Donnan (53 shared papers)Emily S. Sena (35 shared papers)Michelle J. Porritt (18 shared papers)Victoria E. O’Collins (17 shared papers)Peter Batchelor (19 shared papers)Laura L. Horky (3 shared papers)Sarah S. J. Rewell (15 shared papers)
- Journals
- Journal of Cerebral Blood Flow & Metabolism (18 papers)International Journal of Stroke (12 papers)Stroke (11 papers)PLoS Biology (7 papers)The Lancet (6 papers)
- Partner nations
- AustraliaUnited KingdomNetherlands
In The Last Decade
David William Howells
196 papers receiving 28.0k citations
David William Howells's Hit Papers
Peers
Comparison fields: 5 of 205
- Neurology 3.5k
- Small Animals 2.5k
- Developmental Neuroscience 1.2k
- Neurology 2.6k
- Cellular and Molecular Neuroscience 3.1k
Countries citing papers authored by David William Howells
This map shows the geographic impact of David William Howells'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 David William Howells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David William Howells more than expected).
Fields of papers citing papers by David William Howells
This network shows the impact of papers produced by David William Howells. 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 David William Howells. The network helps show where David William Howells may publish in the future.
Co-authors
The 25 scholars most cited alongside David William Howells, 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 197 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research Hit paper breakdown → | 2020 | 4115 |
| 2 | The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research Hit paper breakdown → | 2020 | 3296 |
| 3 | Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0 Hit paper breakdown → | 2020 | 1891 |
| 4 | 1,026 Experimental treatments in acute stroke Hit paper breakdown → | 2006 | 1206 |
| 5 | Update of the Stroke Therapy Academic Industry Roundtable Preclinical Recommendations Hit paper breakdown → | 2009 | 1130 |
| 6 | How to increase value and reduce waste when research priorities are set Hit paper breakdown → | 2014 | 1086 |
| 7 | Can Animal Models of Disease Reliably Inform Human Studies? Hit paper breakdown → | 2010 | 1059 |
| 8 | The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research* Hit paper breakdown → | 2020 | 996 |
| 9 | A call for transparent reporting to optimize the predictive value of preclinical research Hit paper breakdown → | 2012 | 961 |
| 10 | The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research Hit paper breakdown → | 2020 | 727 |
| 11 | Pooling of Animal Experimental Data Reveals Influence of Study Design and Publication Bias Hit paper breakdown → | 2004 | 570 |
| 12 | 1999 | 521 | |
| 13 | Publication Bias in Reports of Animal Stroke Studies Leads to Major Overstatement of Efficacy Hit paper breakdown → | 2010 | 472 |
| 14 | The ARRIVE guidelines 2.0: updated guidelines for reporting animal research Hit paper breakdown → | 2020 | 455 |
| 15 | 2000 | 433 | |
| 16 | Meta-analysis of data from animal studies: A practical guide Hit paper breakdown → | 2013 | 404 |
| 17 | 2007 | 402 | |
| 18 | Extending thrombolysis to 4·5–9 h and wake-up stroke using perfusion imaging: a systematic review and meta-analysis of individual patient data Hit paper breakdown → | 2019 | 384 |
| 19 | 2019 | 320 | |
| 20 | 2007 | 308 |
About David William Howells
David William Howells is a scholar working on Neurology, Small Animals, Statistics, Probability and Uncertainty, Clinical Biochemistry and Neurology, having authored 197 papers that have together received 28.6k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (38 papers), Animal testing and alternatives (34 papers), Neuroinflammation and Neurodegeneration Mechanisms (26 papers), Meta-analysis and systematic reviews (24 papers), Metabolism and Genetic Disorders (20 papers), Nerve injury and regeneration (17 papers), Neurological Disease Mechanisms and Treatments (15 papers) and Parkinson's Disease Mechanisms and Treatments (12 papers). The work is most often cited by research in Neurology (3.5k citations), Small Animals (2.5k citations), Developmental Neuroscience (1.2k citations), Neurology (2.6k citations) and Cellular and Molecular Neuroscience (3.1k citations). David William Howells has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include Malcolm Robert Macleod, Geoffrey Alan Donnan, Emily S. Sena, Michelle J. Porritt, Victoria E. O’Collins, Peter Batchelor, Laura L. Horky, Sarah S. J. Rewell, H. Bart van der Worp and Bart H. van der Worp. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, International Journal of Stroke, Stroke, PLoS Biology and The Lancet.
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.