Christopher P. Day
Impact in
- Hepatology top 0.02%
- Liver Disease and Transplantation
- Liver Diseases and Immunity
- Hepatitis C virus research
- Epidemiology top 0.01%
- Liver Disease Diagnosis and Treatment
Papers in
- Hepatology 62
- Liver Disease and Transplantation 34
- Hepatitis C virus research 17
- Liver Diseases and Immunity 16
- Epidemiology 128
- Liver Disease Diagnosis and Treatment 122
- Co-authors
- Quentin M. AnsteeGiovanni TargherAlastair D. BurtAnn K. DalyGuruprasad P. AithalOliver JamesEnzo BonoraAnna Mae Diehl
- Journals
- Journal of Hepatology (26 papers)Hepatology (20 papers)Gut (14 papers)Gastroenterology (11 papers)Seminars in Liver Disease (5 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Christopher P. Day
185 papers receiving 30.3k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Hepatology 10.2k
- Epidemiology 23.0k
- Endocrinology, Diabetes and Metabolism 9.9k
- Pharmacology 2.9k
- Pathology and Forensic Medicine 5.0k
Countries citing papers authored by Christopher P. Day
This map shows the geographic impact of Christopher P. Day'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 Christopher P. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher P. Day more than expected).
Fields of papers citing papers by Christopher P. Day
This network shows the impact of papers produced by Christopher P. Day. 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 Christopher P. Day. The network helps show where Christopher P. Day may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher P. Day, 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 | 2024 | 1 | |
| 2 | 2020 | 7 | |
| 3 | 2016 | 79 | |
| 4 | 2016 | 69 | |
| 5 | 2016 | 1 | |
| 6 | 2012 | 9 | |
| 7 | 2011 | 62 | |
| 8 | 2011 | 57 | |
| 9 | 2010 | 143 | |
| 10 | 2009 | 75 | |
| 11 | 2008 | 6 | |
| 12 | 2004 | 71 | |
| 13 | 2001 | 79 | |
| 14 | 2000 | 46 | |
| 15 | 1999 | 140 | |
| 16 | 1998 | 59 | |
| 17 | 1998 | 166 | |
| 18 | 1998 | 24 | |
| 19 | 1997 | 218 | |
| 20 | 1985 | 5 |
About Christopher P. Day
Christopher P. Day is a scholar working on Hepatology, Epidemiology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Pharmacology, having authored 186 papers that have together received 31.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (122 papers), Diet, Metabolism, and Disease (49 papers), Alcohol Consumption and Health Effects (49 papers), Liver Disease and Transplantation (34 papers), Drug-Induced Hepatotoxicity and Protection (17 papers), Hepatitis C virus research (17 papers), Liver Diseases and Immunity (16 papers) and Lipid metabolism and disorders (13 papers). The work is most often cited by research in Hepatology (10.2k citations), Epidemiology (23.0k citations), Endocrinology, Diabetes and Metabolism (9.9k citations), Pharmacology (2.9k citations) and Pathology and Forensic Medicine (5.0k citations). Christopher P. Day has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Quentin M. Anstee, Giovanni Targher, Alastair D. Burt, Ann K. Daly, Guruprasad P. Aithal, Oliver James, Enzo Bonora, Anna Mae Diehl, R. W. F. Campbell and Janet M. McComb. Their work appears in journals such as Journal of Hepatology, Hepatology, Gut, Gastroenterology and Seminars in Liver Disease.
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.