C Cave
Impact in
- Hepatology top 10%
- Hepatitis C virus research
-
- Growth Hormone and Insulin-like Growth Factors
- Diabetes Management and Education
Papers in
-
- Growth Hormone and Insulin-like Growth Factors 4
- Diabetes Management and Education 1
- Genetics 2
- Glioma Diagnosis and Treatment 2
- Co-authors
- Jonathan Shepherd (3 shared papers)Norman R Waugh (2 shared papers)Ruairidh Milne (6 shared papers)Jacqueline Dinnes (3 shared papers)John Gabbay (2 shared papers)Alison Price (1 shared paper)Emma Loveman (4 shared papers)J Bryant (4 shared papers)
- Journals
- Health Technology Assessment (6 papers)Journal of Endocrinology (1 paper)British Journal of Cancer (1 paper)PubMed (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
C Cave
10 papers receiving 713 citations
Peers
Comparison fields: 5 of 78
- Hepatology 108
- Endocrinology, Diabetes and Metabolism 180
- Genetics 58
- Statistics, Probability and Uncertainty 38
- Economics and Econometrics 78
Countries citing papers authored by C Cave
This map shows the geographic impact of C Cave'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 C Cave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Cave more than expected).
Fields of papers citing papers by C Cave
This network shows the impact of papers produced by C Cave. 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 C Cave. The network helps show where C Cave may publish in the future.
Co-authors
The 18 scholars most cited alongside C Cave, 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 | 2004 | 182 | |
| 2 | 2005 | 180 | |
| 3 | 2003 | 136 | |
| 4 | 2002 | 124 | |
| 5 | 2002 | 56 | |
| 6 | 2001 | 35 | |
| 7 | Clinical effectiveness and cost-effectiveness of growth hormone in adults in relation to impact on quality of life: a systematic review and economic evaluation. | 2002 | 20 |
| 8 | 2002 | 15 | |
| 9 | Pegylated interferon α-2a and -2b in combination with ribavirin in the treatment of chronic hepatitis C: a systematic review and economic evaluation | 2004 | 9 |
| 10 | 2002 | 8 |
About C Cave
C Cave is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Hepatology, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 10 papers that have together received 765 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Glioma Diagnosis and Treatment (2 papers), Hepatitis C virus research (2 papers), Sepsis Diagnosis and Treatment (1 paper), Meta-analysis and systematic reviews (1 paper), Diabetes Management and Education (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Hepatology (108 citations), Endocrinology, Diabetes and Metabolism (180 citations), Genetics (58 citations), Statistics, Probability and Uncertainty (38 citations) and Economics and Econometrics (78 citations). C Cave has collaborated with scholars based in United Kingdom. Frequent co-authors include Jonathan Shepherd, Norman R Waugh, Ruairidh Milne, Jacqueline Dinnes, John Gabbay, Alison Price, Emma Loveman, J Bryant, Brian H. Cuthbertson and Liz Payne. Their work appears in journals such as Health Technology Assessment, Journal of Endocrinology, British Journal of Cancer and PubMed.
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.