N.J. Cooper
Impact in
-
- Meta-analysis and systematic reviews
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
Papers in
-
- Influenza Virus Research Studies 2
- Respiratory viral infections research 2
- Co-authors
- Alex J. Sutton (5 shared papers)A. E. Ades (3 shared papers)G. Lu (2 shared papers)Andrew Briggs (1 shared paper)Deborah M Caldwell (1 shared paper)Nicky J. Welton (2 shared papers)Keith R. Abrams (3 shared papers)Ray Ashleigh (1 shared paper)
- Journals
- Health Technology Assessment (3 papers)Statistics in Medicine (2 papers)Value in Health (1 paper)Medical Oncology (1 paper)Reproduction (1 paper)
- Partner nations
- United KingdomAustralia
In The Last Decade
N.J. Cooper
12 papers receiving 447 citations
Peers
Comparison fields: 5 of 99
- Statistics, Probability and Uncertainty 89
- Statistics and Probability 88
- Pharmacy 19
- Economics and Econometrics 95
- Endocrinology, Diabetes and Metabolism 53
Countries citing papers authored by N.J. Cooper
This map shows the geographic impact of N.J. Cooper'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 N.J. Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.J. Cooper more than expected).
Fields of papers citing papers by N.J. Cooper
This network shows the impact of papers produced by N.J. Cooper. 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 N.J. Cooper. The network helps show where N.J. Cooper may publish in the future.
Co-authors
The 25 scholars most cited alongside N.J. Cooper, 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 | 2007 | 90 | |
| 2 | 2009 | 86 | |
| 3 | 2006 | 69 | |
| 4 | 2012 | 66 | |
| 5 | 2006 | 57 | |
| 6 | 2008 | 46 | |
| 7 | Making Communities More Flood Resilient: The Role of Cost Benefit Analysis and Other Decision-support Tools in Disaster Risk Reduction | 2014 | 25 |
| 8 | 2021 | 13 | |
| 9 | 1998 | 6 | |
| 10 | Extratesticular sperm maturation in the brush-tail possum, Trichosurus vulpecula. | 1998 | 5 |
| 11 | 2013 | 2 | |
| 12 | 2025 | 2 |
About N.J. Cooper
N.J. Cooper is a scholar working on Epidemiology, Sociology and Political Science, Reproductive Medicine, Statistics and Probability and Surgery, having authored 12 papers that have together received 467 indexed citations. Recurring topics across this work include Sperm and Testicular Function (2 papers), Influenza Virus Research Studies (2 papers), Respiratory viral infections research (2 papers), Animal Genetics and Reproduction (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Obesity and Health Practices (1 paper), Statistical Methods and Bayesian Inference (1 paper) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (89 citations), Statistics and Probability (88 citations), Pharmacy (19 citations), Economics and Econometrics (95 citations) and Endocrinology, Diabetes and Metabolism (53 citations). N.J. Cooper has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Alex J. Sutton, A. E. Ades, G. Lu, Andrew Briggs, Deborah M Caldwell, Nicky J. Welton, Keith R. Abrams, Ray Ashleigh, A. Nasim and John S. Butterfield. Their work appears in journals such as Health Technology Assessment, Statistics in Medicine, Value in Health, Medical Oncology and Reproduction.
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.