Kay Samuel
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
-
- Pluripotent Stem Cells Research 11
- CRISPR and Genetic Engineering 6
- Angiogenesis and VEGF in Cancer 4
- Hepatology 13
- Liver physiology and pathology 11
- Co-authors
- Stuart J. Forbes (9 shared papers)John P. Iredale (8 shared papers)David C. Hay (9 shared papers)James A. Ross (7 shared papers)Catherine Payne (6 shared papers)Zara Hannoun (4 shared papers)James R. Black (4 shared papers)Judy Fletcher (4 shared papers)
- Journals
- Experimental Cell Research (5 papers)British Journal of Haematology (3 papers)Hepatology (3 papers)Journal of Hepatology (3 papers)Journal of Cell Science (3 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Kay Samuel
62 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 105
- Hepatology 711
- Genetics 236
- Molecular Biology 1.5k
- Surgery 872
- Immunology 282
Countries citing papers authored by Kay Samuel
This map shows the geographic impact of Kay Samuel'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 Kay Samuel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Samuel more than expected).
Fields of papers citing papers by Kay Samuel
This network shows the impact of papers produced by Kay Samuel. 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 Kay Samuel. The network helps show where Kay Samuel may publish in the future.
Co-authors
The 25 scholars most cited alongside Kay Samuel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 350 | |
| 2 | 2009 | 346 | |
| 3 | 2003 | 229 | |
| 4 | 2015 | 216 | |
| 5 | 2010 | 151 | |
| 6 | 2012 | 117 | |
| 7 | 2011 | 105 | |
| 8 | 1996 | 104 | |
| 9 | 1992 | 95 | |
| 10 | 2002 | 74 | |
| 11 | 2005 | 73 | |
| 12 | 2006 | 71 | |
| 13 | 2016 | 59 | |
| 14 | 2006 | 56 | |
| 15 | 2020 | 44 | |
| 16 | 2015 | 42 | |
| 17 | 1993 | 38 | |
| 18 | 2010 | 38 | |
| 19 | 2019 | 35 | |
| 20 | 2019 | 33 |
About Kay Samuel
Kay Samuel is a scholar working on Molecular Biology, Hepatology, Surgery, Oncology and Pharmacology, having authored 64 papers that have together received 2.8k indexed citations. Recurring topics across this work include Liver physiology and pathology (11 papers), Pluripotent Stem Cells Research (11 papers), Pancreatic function and diabetes (7 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), CRISPR and Genetic Engineering (6 papers), Immunotherapy and Immune Responses (5 papers), Angiogenesis and VEGF in Cancer (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Hepatology (711 citations), Genetics (236 citations), Molecular Biology (1.5k citations), Surgery (872 citations) and Immunology (282 citations). Kay Samuel has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Stuart J. Forbes, John P. Iredale, David C. Hay, James A. Ross, Catherine Payne, Zara Hannoun, James R. Black, Judy Fletcher, Peter Hayes and Philip N. Newsome. Their work appears in journals such as Experimental Cell Research, British Journal of Haematology, Hepatology, Journal of Hepatology and Journal of Cell Science.
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.