Cliff Rowe

3.1k citations
21 papers · 781 · h-index 15

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism

Papers in

Cliff Rowe

21 papers receiving 758 citations

Peers

Cliff Rowe
Comparison fields: 5 of 87
  • Hepatology 270
  • Pharmacology 110
  • Biomedical Engineering 226
  • Epidemiology 128
  • Molecular Biology 253
Replace Benjamin J. Dwyer with:
Benjamin J. Dwyer United Kingdom
Ping Sun China
Anna-Karin Sjögren Sweden
Jorge Abarca‐Quinones Belgium
Feizhou Huang China
Jaione Simón-Santamaría Norway
Marijke Baekeland Belgium
Jiandong Zhao China
Praveen Radhakrishnan Germany
Cliff Rowe relative to Benjamin J. Dwyer United Kingdom Benjamin J. Dwyer's profile →
Citations per field
00.5×3.2×
Benjamin J. Dwyer · 1×
Citations per year

Countries citing papers authored by Cliff Rowe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Cliff Rowe Line = papers co-authored together Cliff Rowe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017115
2 2013103
3 2016101
4 201275
5 201654
6 201049
7 201546
8 201040
9 200937
10 201731
11 201529
12 200726
13 201322
14 201220
15 201814
16 20229
17 20236
18 20141
19 20171
20 20221

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 781 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (5 papers), Liver physiology and pathology (5 papers), Ultrasound and Cavitation Phenomena (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Pancreatic function and diabetes (3 papers), Pluripotent Stem Cells Research (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (270 citations), Pharmacology (110 citations), Biomedical Engineering (226 citations), Epidemiology (128 citations) and Molecular Biology (253 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, Neil A. Hanley, Emma M. Large, Tomasz Kostrzewski, David Hughes, Karen Piper Hanley, Roz Jenkins, B. Kevin Park and Andrew Berry. Their work appears in journals such as Hepatology, Journal of Proteome Research, The Journal of the Acoustical Society of America, Molecular Therapy and Blood.

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.

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