Cliff Rowe
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Ultrasound and Hyperthermia Applications 5
- 3D Printing in Biomedical Research 3
- Co-authors
- Christopher E. Goldring (10 shared papers)Neil R. Kitteringham (6 shared papers)B. Kevin Park (4 shared papers)Neil A. Hanley (4 shared papers)Karen Piper Hanley (3 shared papers)Tomasz Kostrzewski (2 shared papers)David Hughes (2 shared papers)Emma M. Large (2 shared papers)
- Journals
- Journal of Proteome Research (2 papers)Hepatology (2 papers)The Journal of the Acoustical Society of America (2 papers)Molecular Therapy (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Cliff Rowe
20 papers receiving 722 citations
Peers
Comparison fields: 5 of 90
- Hepatology 282
- Pharmacology 109
- Biomedical Engineering 220
- Epidemiology 133
- Molecular Biology 257
Countries citing papers authored by Cliff Rowe
This map shows the geographic impact of Cliff Rowe'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 Cliff Rowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cliff Rowe more than expected).
Fields of papers citing papers by Cliff Rowe
This network shows the impact of papers produced by Cliff Rowe. 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 Cliff Rowe. The network helps show where Cliff Rowe may publish in the future.
Co-authors
The 25 scholars most cited alongside Cliff Rowe, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 109 | |
| 2 | 2013 | 102 | |
| 3 | 2016 | 95 | |
| 4 | 2012 | 74 | |
| 5 | 2016 | 53 | |
| 6 | 2010 | 48 | |
| 7 | 2015 | 44 | |
| 8 | 2010 | 37 | |
| 9 | 2009 | 33 | |
| 10 | 2017 | 28 | |
| 11 | 2015 | 25 | |
| 12 | 2007 | 22 | |
| 13 | 2013 | 22 | |
| 14 | 2012 | 18 | |
| 15 | 2018 | 14 | |
| 16 | 2022 | 9 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2010 | 1 |
About Cliff Rowe
Cliff Rowe is a scholar working on Molecular Biology, Biomedical Engineering, Hepatology, Surgery and Oncology, having authored 21 papers that have together received 740 indexed citations. Recurring topics across this work include Liver physiology and pathology (5 papers), Ultrasound and Hyperthermia Applications (5 papers), Pancreatic function and diabetes (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Ultrasound and Cavitation Phenomena (3 papers), 3D Printing in Biomedical Research (3 papers), Virus-based gene therapy research (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (282 citations), Pharmacology (109 citations), Biomedical Engineering (220 citations), Epidemiology (133 citations) and Molecular Biology (257 citations). Cliff Rowe has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Christopher E. Goldring, Neil R. Kitteringham, B. Kevin Park, Neil A. Hanley, Karen Piper Hanley, Tomasz Kostrzewski, David Hughes, Emma M. Large, Roz Jenkins and Andrew Berry. Their work appears in journals such as Journal of Proteome Research, Hepatology, The Journal of the Acoustical Society of America, Molecular Therapy and Scientific Reports.
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.