Peter Clements
Impact in
- Small Animals top 10%
- Animal testing and alternatives
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- Cardiac electrophysiology and arrhythmias
- Chemotherapy-induced cardiotoxicity and mitigation
Papers in ⓘ
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- Animal testing and alternatives 4
- Music 1
- Co-authors
- Brian R. Berridge (3 shared papers)Cheryl Y. Gregory (1 shared paper)David R. Sargan (1 shared paper)F. R. Sale (2 shared papers)Chris Denning (4 shared papers)Michael C. Boyle (1 shared paper)Monique Y. Wells (1 shared paper)Hirofumi Nagai (1 shared paper)
- Journals
- Mutagenesis (2 papers)Toxicologic Pathology (2 papers)Toxicological Sciences (2 papers)Stem Cell Reports (2 papers)Metallurgical Transactions B (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Peter Clements
21 papers receiving 411 citations
Peers
Comparison fields: 5 of 106
- Small Animals 38
- Cardiology and Cardiovascular Medicine 105
- Cellular and Molecular Neuroscience 59
- Molecular Biology 182
- Pharmacology 16
Countries citing papers authored by Peter Clements
This map shows the geographic impact of Peter Clements'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 Peter Clements with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Clements more than expected).
Fields of papers citing papers by Peter Clements
This network shows the impact of papers produced by Peter Clements. 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 Peter Clements. The network helps show where Peter Clements may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Clements, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 60 | |
| 2 | 2010 | 58 | |
| 3 | 1993 | 52 | |
| 4 | 2016 | 52 | |
| 5 | 2020 | 44 | |
| 6 | 2019 | 26 | |
| 7 | 2009 | 24 | |
| 8 | 2012 | 17 | |
| 9 | 2022 | 12 | |
| 10 | 1976 | 11 | |
| 11 | 2010 | 9 | |
| 12 | 1991 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 1976 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2020 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2018 | 3 |
About Peter Clements
Peter Clements is a scholar working on Small Animals, Music, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Dermatology, having authored 24 papers that have together received 421 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Animal testing and alternatives (4 papers), 3D Printing in Biomedical Research (3 papers), Pluripotent Stem Cells Research (3 papers), Computational Drug Discovery Methods (2 papers), Immunotoxicology and immune responses (2 papers) and Skin Protection and Aging (2 papers). The work is most often cited by research in Small Animals (38 citations), Cardiology and Cardiovascular Medicine (105 citations), Cellular and Molecular Neuroscience (59 citations), Molecular Biology (182 citations) and Pharmacology (16 citations). Peter Clements has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Brian R. Berridge, Cheryl Y. Gregory, David R. Sargan, F. R. Sale, Chris Denning, Michael C. Boyle, Monique Y. Wells, Hirofumi Nagai, Arne Hansen and Tessa de Korte. Their work appears in journals such as Mutagenesis, Toxicologic Pathology, Toxicological Sciences, Stem Cell Reports and Metallurgical Transactions B.
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.