Christopher Tait
Impact in
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
-
- Gastrointestinal motility and disorders
Papers in
- Surgery 5
- Organ Transplantation Techniques and Outcomes 2
- Co-authors
- Gregory S. Sayuk (1 shared paper)Nolan A. Wages (2 shared papers)Vinod K. Rustgi (8 shared papers)Carlos D. Minacapelli (7 shared papers)Carolyn Catalano (4 shared papers)Kapil Gupta (5 shared papers)Abhishek Bhurwal (5 shared papers)Andrew R. Tee (1 shared paper)
- Journals
- Journal of Biopharmaceutical Statistics (2 papers)World Journal of Gastroenterology (2 papers)Clinics in Liver Disease (1 paper)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)European Journal of Internal Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Christopher Tait
14 papers receiving 237 citations
Peers
Comparison fields: 5 of 74
- Statistics and Probability 44
- Gastroenterology 29
- Hepatology 37
- Endocrine and Autonomic Systems 20
- Physiology 49
Countries citing papers authored by Christopher Tait
This map shows the geographic impact of Christopher Tait'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 Tait with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Tait more than expected).
Fields of papers citing papers by Christopher Tait
This network shows the impact of papers produced by Christopher Tait. 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 Tait. The network helps show where Christopher Tait may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Tait, 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 | 2021 | 52 | |
| 2 | 2014 | 44 | |
| 3 | 2021 | 36 | |
| 4 | 2022 | 30 | |
| 5 | 2010 | 27 | |
| 6 | 2021 | 22 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 7 | |
| 9 | 2019 | 5 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 2 | |
| 12 | Cardiovascular disease history and risk factors in hemophilia patients | 2012 | 1 |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 1982 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2021 | 0 |
About Christopher Tait
Christopher Tait is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Hepatology, Epidemiology and Physiology, having authored 17 papers that have together received 242 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Liver Disease and Transplantation (2 papers), Statistical Methods in Clinical Trials (2 papers), Circadian rhythm and melatonin (2 papers), Diet and metabolism studies (2 papers), Dietary Effects on Health (2 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Statistics and Probability (44 citations), Gastroenterology (29 citations), Hepatology (37 citations), Endocrine and Autonomic Systems (20 citations) and Physiology (49 citations). Christopher Tait has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Gregory S. Sayuk, Nolan A. Wages, Vinod K. Rustgi, Carlos D. Minacapelli, Carolyn Catalano, Kapil Gupta, Abhishek Bhurwal, Andrew R. Tee, Catherine Scott and Stephen C. Land. Their work appears in journals such as Journal of Biopharmaceutical Statistics, World Journal of Gastroenterology, Clinics in Liver Disease, American Journal of Physiology-Lung Cellular and Molecular Physiology and European Journal of Internal Medicine.
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.