Dave Bower
Impact in
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- Animal testing and alternatives
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- Computational Drug Discovery Methods
Papers in
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- Animal testing and alternatives 3
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- Computational Drug Discovery Methods 3
- Co-authors
- ADRIAN M. GRANT (2 shared papers)John Alexander Brebner (2 shared papers)Graham Mowatt (2 shared papers)John Cairns (2 shared papers)Kevin P. Cross (5 shared papers)Glenn J. Myatt (4 shared papers)Arianna Bassan (2 shared papers)Manuela Pavan (2 shared papers)
- Journals
- Trends in biotechnology (1 paper)International Journal of Technology Assessment in Health Care (1 paper)Toxicology Letters (1 paper)SAR and QSAR in environmental research (1 paper)Computational Toxicology (2 papers)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Dave Bower
7 papers receiving 46 citations
Peers
Comparison fields: 5 of 37
- Small Animals 10
- Computational Theory and Mathematics 14
- Medical Laboratory Technology 1
- Health, Toxicology and Mutagenesis 9
- Economics and Econometrics 12
Countries citing papers authored by Dave Bower
This map shows the geographic impact of Dave Bower'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 Dave Bower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave Bower more than expected).
Fields of papers citing papers by Dave Bower
This network shows the impact of papers produced by Dave Bower. 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 Dave Bower. The network helps show where Dave Bower may publish in the future.
Co-authors
The 20 scholars most cited alongside Dave Bower, 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 | 1998 | 20 | |
| 2 | 2021 | 9 | |
| 3 | 2013 | 6 | |
| 4 | 2021 | 5 | |
| 5 | 2017 | 4 | |
| 6 | 1989 | 4 | |
| 7 | 2001 | 3 | |
| 8 | 2015 | 1 |
About Dave Bower
Dave Bower is a scholar working on Small Animals, Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Chemical Health and Safety and Statistics, Probability and Uncertainty, having authored 8 papers that have together received 52 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Animal testing and alternatives (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Healthcare cost, quality, practices (1 paper), Chemical Safety and Risk Management (1 paper), ECG Monitoring and Analysis (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Small Animals (10 citations), Computational Theory and Mathematics (14 citations), Medical Laboratory Technology (1 citation), Health, Toxicology and Mutagenesis (9 citations) and Economics and Econometrics (12 citations). Dave Bower has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include ADRIAN M. GRANT, John Alexander Brebner, Graham Mowatt, John Cairns, Kevin P. Cross, Glenn J. Myatt, Arianna Bassan, Manuela Pavan, Donald P. Quigley and Robert A. Jolly. Their work appears in journals such as Trends in biotechnology, International Journal of Technology Assessment in Health Care, Toxicology Letters, SAR and QSAR in environmental research and Computational Toxicology.
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.