Peter Clements
Impact in
- Small Animals top 5%
- Animal testing and alternatives
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- Cardiac electrophysiology and arrhythmias
Papers in
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- Animal testing and alternatives 5
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- Cardiac electrophysiology and arrhythmias 6
- Co-authors
- Brian R. Berridge (3 shared papers)Cheryl Y. Gregory (1 shared paper)Shomi S. Bhattacharya (1 shared paper)Frank R. Sale (2 shared papers)David R. Sargan (1 shared paper)Chris N. Denning (4 shared papers)Abraham Nyska (1 shared paper)Yoshimasa Okazaki (1 shared paper)
- Journals
- Toxicological Sciences (3 papers)Stem Cell Reports (2 papers)Mutagenesis (2 papers)Toxicologic Pathology (2 papers)Metallurgical Transactions B (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Peter Clements
26 papers receiving 560 citations
Peers
Comparison fields: 5 of 107
- Small Animals 61
- Cardiology and Cardiovascular Medicine 133
- Cellular and Molecular Neuroscience 80
- Molecular Biology 237
- Cancer Research 34
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 74 | |
| 2 | 2014 | 69 | |
| 3 | 2016 | 69 | |
| 4 | 2020 | 64 | |
| 5 | 2020 | 57 | |
| 6 | 1993 | 56 | |
| 7 | 2019 | 30 | |
| 8 | 2009 | 26 | |
| 9 | 2012 | 18 | |
| 10 | 2024 | 17 | |
| 11 | 2022 | 14 | |
| 12 | 1976 | 12 | |
| 13 | 2010 | 9 | |
| 14 | 1991 | 9 | |
| 15 | 1976 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 6 | |
| 20 | 2017 | 6 |
About Peter Clements
Peter Clements is a scholar working on Small Animals, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Immunology and Dermatology, having authored 28 papers that have together received 587 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (6 papers), Cardiac electrophysiology and arrhythmias (6 papers), Animal testing and alternatives (5 papers), Pluripotent Stem Cells Research (4 papers), 3D Printing in Biomedical Research (3 papers), Immunotoxicology and immune responses (3 papers), CRISPR and Genetic Engineering (2 papers) and Music Technology and Sound Studies (2 papers). The work is most often cited by research in Small Animals (61 citations), Cardiology and Cardiovascular Medicine (133 citations), Cellular and Molecular Neuroscience (80 citations), Molecular Biology (237 citations) and Cancer Research (34 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, Shomi S. Bhattacharya, Frank R. Sale, David R. Sargan, Chris N. Denning, Abraham Nyska, Yoshimasa Okazaki, Hirofumi Nagai and Paul W. Snyder. Their work appears in journals such as Toxicological Sciences, Stem Cell Reports, Mutagenesis, Toxicologic Pathology 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.