D. Collett
- Transplantation top 0.2%
- Renal Transplantation Outcomes and Treatments 25
- Statistics and Probability top 0.2%
- Statistical Methods and Inference 15
- Statistical Methods and Bayesian Inference 9
- Hepatology top 1%
- Liver Disease and Transplantation 14
-
- Organ Donation and Transplantation 19
- Surgery top 1%
- Organ Transplantation Techniques and Outcomes 28
-
- Bayesian Methods and Mixture Models 7
-
- Polyomavirus and related diseases 5
- Co-authors
- Geoffrey J. McLachlanChristopher J.E. WatsonJohn W. TukeyDavid C. HoaglinFrederick MostellerJames NeubergerRobert J. BakerJ. A. Nelder
- Journals
- Transplantation (17 papers)American Journal of Transplantation (4 papers)The Lancet (4 papers)
- Partner nations
- United KingdomUnited StatesIsrael
In The Last Decade
D. Collett
99 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 223
- Transplantation 1.3k
- Statistics and Probability 1.1k
- Hepatology 743
- Public Health, Environmental and Occupational Health 1.6k
- Surgery 2.1k
Countries citing papers authored by D. Collett
This map shows the geographic impact of D. Collett'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 D. Collett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Collett more than expected).
Fields of papers citing papers by D. Collett
This network shows the impact of papers produced by D. Collett. 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 D. Collett. The network helps show where D. Collett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Collett, 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 | 12 | |
| 2 | 2019 | 10 | |
| 3 | 2018 | 43 | |
| 4 | 2017 | 107 | |
| 5 | 2016 | 6 | |
| 6 | 2015 | 235 | |
| 7 | 2014 | 11 | |
| 8 | 2013 | 12 | |
| 9 | 2012 | 187 | |
| 10 | 2012 | 19 | |
| 11 | 2012 | 3 | |
| 12 | Organ allocation in the United Kingdom. | 2010 | 2 |
| 13 | 2010 | 247 | |
| 14 | Kidney donation and transplantation in the UK from 1998 to 2007. | 2008 | 8 |
| 15 | 2008 | 10 | |
| 16 | 2008 | 9 | |
| 17 | Development of a UK score for patients with end-stage liver disease | 2007 | 25 |
| 18 | 2006 | 60 | |
| 19 | 2006 | 138 | |
| 20 | 2004 | 81 |
About D. Collett
D. Collett is a scholar working on Transplantation, Statistics and Probability, Hepatology, Public Health, Environmental and Occupational Health and Surgery, having authored 100 papers that have together received 9.4k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (28 papers), Renal Transplantation Outcomes and Treatments (25 papers), Organ Donation and Transplantation (19 papers), Statistical Methods and Inference (15 papers), Liver Disease and Transplantation (14 papers), Statistical Methods and Bayesian Inference (9 papers), Bayesian Methods and Mixture Models (7 papers) and Polyomavirus and related diseases (5 papers). The work is most often cited by research in Transplantation (1.3k citations), Statistics and Probability (1.1k citations), Hepatology (743 citations), Public Health, Environmental and Occupational Health (1.6k citations) and Surgery (2.1k citations). D. Collett has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Geoffrey J. McLachlan, Christopher J.E. Watson, John W. Tukey, David C. Hoaglin, Frederick Mosteller, James Neuberger, Robert J. Baker, J. A. Nelder, Rachel Johnson and J. Andrew Bradley. Their work appears in journals such as Transplantation, American Journal of Transplantation, The Lancet, Statistics in Medicine and BMJ Open.
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.