Tracey Hurrell
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 4
- Viral Infectious Diseases and Gene Expression in Insects 3
-
- Liver physiology and pathology 6
- Co-authors
- Kathryn S. Lilley (5 shared papers)Duncan Cromarty (5 shared papers)Magnus Ingelman‐Sundberg (3 shared papers)Andy Christoforou (2 shared papers)Lisa M. Breckels (2 shared papers)Claire M. Mulvey (2 shared papers)Laurent Gatto (2 shared papers)Delilah Hendriks (3 shared papers)
- Journals
- Nature Communications (3 papers)Scientific Reports (2 papers)Toxicological Sciences (2 papers)Journal of Personalized Medicine (1 paper)Tissue Engineering Part C Methods (1 paper)
- Partner nations
- South AfricaUnited KingdomSweden
In The Last Decade
Tracey Hurrell
18 papers receiving 456 citations
Peers
Comparison fields: 5 of 70
- Hepatology 130
- Pharmacology 53
- Spectroscopy 99
- Cell Biology 68
- Molecular Biology 220
Countries citing papers authored by Tracey Hurrell
This map shows the geographic impact of Tracey Hurrell'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 Tracey Hurrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracey Hurrell more than expected).
Fields of papers citing papers by Tracey Hurrell
This network shows the impact of papers produced by Tracey Hurrell. 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 Tracey Hurrell. The network helps show where Tracey Hurrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Tracey Hurrell, 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 | 2016 | 157 | |
| 2 | 2018 | 70 | |
| 3 | 2020 | 56 | |
| 4 | 2021 | 36 | |
| 5 | 2018 | 35 | |
| 6 | 2018 | 25 | |
| 7 | 2019 | 23 | |
| 8 | 2019 | 15 | |
| 9 | 2021 | 11 | |
| 10 | 2013 | 10 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2022 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2013 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 |
About Tracey Hurrell
Tracey Hurrell is a scholar working on Molecular Biology, Hepatology, Biomedical Engineering, Oncology and Pharmacology, having authored 19 papers that have together received 463 indexed citations. Recurring topics across this work include Liver physiology and pathology (6 papers), 3D Printing in Biomedical Research (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (4 papers), Pancreatic function and diabetes (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Hepatology (130 citations), Pharmacology (53 citations), Spectroscopy (99 citations), Cell Biology (68 citations) and Molecular Biology (220 citations). Tracey Hurrell has collaborated with scholars based in South Africa, United Kingdom and Sweden. Frequent co-authors include Kathryn S. Lilley, Duncan Cromarty, Magnus Ingelman‐Sundberg, Andy Christoforou, Lisa M. Breckels, Claire M. Mulvey, Laurent Gatto, Delilah Hendriks, Aikaterini Geladaki and Thomas Naake. Their work appears in journals such as Nature Communications, Scientific Reports, Toxicological Sciences, Journal of Personalized Medicine and Tissue Engineering Part C Methods.
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.