David C. Hay
Impact in
- Hepatology top 0.5%
- Liver physiology and pathology
- Molecular Biology top 2%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
Papers in
- Hepatology 48
- Liver physiology and pathology 48
-
- Pluripotent Stem Cells Research 48
- CRISPR and Genetic Engineering 14
- Co-authors
- John P. IredaleJames A. RossStuart J. ForbesBaltasar Lucendo‐VillarinDagmara SzkolnickaJames R. BlackJudy FletcherZara Hannoun
- Journals
- Journal of Visualized Experiments (10 papers)Archives of Toxicology (4 papers)Philosophical Transactions of the Royal Society B Biological Sciences (4 papers)Cells (4 papers)iScience (4 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
David C. Hay
119 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Hepatology 1.7k
- Molecular Biology 2.7k
- Surgery 1.7k
- Biomedical Engineering 1.2k
- Pharmacology 179
Countries citing papers authored by David C. Hay
This map shows the geographic impact of David C. Hay'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 David C. Hay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Hay more than expected).
Fields of papers citing papers by David C. Hay
This network shows the impact of papers produced by David C. Hay. 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 David C. Hay. The network helps show where David C. Hay may publish in the future.
Co-authors
The 25 scholars most cited alongside David C. Hay, 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 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 57 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 5 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 20 | |
| 11 | 2019 | 34 | |
| 12 | 2018 | 30 | |
| 13 | 2015 | 1 | |
| 14 | 2013 | 8 | |
| 15 | 2012 | 2 | |
| 16 | 2012 | 9 | |
| 17 | 2011 | 23 | |
| 18 | A SIMPLE POLYURETHANE MATRIX PROMOTES HEPATIC ENDODERM VIABILITY AND INDUCIBLE DRUG METABOLISM: IMPLICATIONS FOR DRUG TOXICOLOGY TESTING AND THE DESIGN OF LIVER SUPPORT DEVICES | 2009 | 1 |
| 19 | 2008 | 19 | |
| 20 | 2007 | 117 |
About David C. Hay
David C. Hay is a scholar working on Hepatology, Molecular Biology, Surgery, Biomedical Engineering and Pharmacology, having authored 125 papers that have together received 4.6k indexed citations. Recurring topics across this work include Liver physiology and pathology (48 papers), Pluripotent Stem Cells Research (48 papers), 3D Printing in Biomedical Research (33 papers), Pancreatic function and diabetes (28 papers), CRISPR and Genetic Engineering (14 papers), Tissue Engineering and Regenerative Medicine (11 papers), Biomedical Ethics and Regulation (8 papers) and Liver Disease Diagnosis and Treatment (8 papers). The work is most often cited by research in Hepatology (1.7k citations), Molecular Biology (2.7k citations), Surgery (1.7k citations), Biomedical Engineering (1.2k citations) and Pharmacology (179 citations). David C. Hay has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include John P. Iredale, James A. Ross, Stuart J. Forbes, Baltasar Lucendo‐Villarin, Dagmara Szkolnicka, James R. Black, Judy Fletcher, Zara Hannoun, J. F. Clark and Tom Burdon. Their work appears in journals such as Journal of Visualized Experiments, Archives of Toxicology, Philosophical Transactions of the Royal Society B Biological Sciences, Cells and iScience.
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.