C Cave
- Hepatology top 10%
- Hepatitis C virus research 2
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- Growth Hormone and Insulin-like Growth Factors 5
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- Liver Disease Diagnosis and Treatment 2
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- Glioma Diagnosis and Treatment 2
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- Childhood Cancer Survivors' Quality of Life 2
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- Brain Metastases and Treatment 2
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- Radiomics and Machine Learning in Medical Imaging 1
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- Heme Oxygenase-1 and Carbon Monoxide 1
- Co-authors
- Jonathan ShepherdNorman WaughRuairidh MilneJacqueline DinnesJohn GabbayHå̊kan BrodinAlison PriceJ Bryant
- Journals
- Health Technology Assessment (6 papers)British Journal of Cancer (1 paper)Journal of Hospital Infection (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
C Cave
14 papers receiving 754 citations
Peers
Comparison fields: 5 of 118
- Hepatology 112
- Endocrinology, Diabetes and Metabolism 195
- Family Practice 15
- Epidemiology 236
- Genetics 63
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-authorship network
The 24 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 | 2022 | 4 | |
| 2 | 2005 | 177 | |
| 3 | 2004 | 174 | |
| 4 | Pegylated interferon α-2a and -2b in combination with ribavirin in the treatment of chronic hepatitis C: a systematic review and economic evaluation | 2004 | 7 |
| 5 | 2003 | 17 | |
| 6 | 2003 | 129 | |
| 7 | 2002 | 54 | |
| 8 | 2002 | 12 | |
| 9 | 2002 | 7 | |
| 10 | 2002 | 122 | |
| 11 | 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 | 19 |
| 12 | 2001 | 33 | |
| 13 | 1977 | 26 | |
| 14 | 1974 | 11 |
About C Cave
C Cave is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology and Genetics, having authored 14 papers that have together received 792 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Glioma Diagnosis and Treatment (2 papers), Brain Metastases and Treatment (2 papers), Hepatitis C virus research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Heme Oxygenase-1 and Carbon Monoxide (1 paper). The work is most often cited by research in Hepatology (112 citations), Endocrinology, Diabetes and Metabolism (195 citations) and Family Practice (15 citations). C Cave has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Jonathan Shepherd, Norman Waugh, Ruairidh Milne, Jacqueline Dinnes, John Gabbay, Hå̊kan Brodin, Alison Price, J Bryant, Emma Loveman and Diana Chase. Their work appears in journals such as Health Technology Assessment, British Journal of Cancer, Journal of Hospital Infection, Neuropsychologia and Journal of Endocrinology.
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.