Paul W. Burridge
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- Chemotherapy-induced cardiotoxicity and mitigation 17
- Cardiac electrophysiology and arrhythmias 7
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- Neuroscience and Neural Engineering 11
- Molecular Biology top 1%
- Pluripotent Stem Cells Research 49
- CRISPR and Genetic Engineering 27
- Congenital heart defects research 9
- Surgery top 2%
- Tissue Engineering and Regenerative Medicine 11
- Biomedical Engineering top 1%
- 3D Printing in Biomedical Research 18
- Co-authors
- Joseph C. WuJoseph GoldElena MatsaJared M. ChurkoArun SharmaAntje EbertGordon KellerFeng Lan
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Paul W. Burridge
82 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cardiology and Cardiovascular Medicine 1.7k
- Cellular and Molecular Neuroscience 1.2k
- Molecular Biology 4.4k
- Surgery 1.7k
- Biomedical Engineering 1.6k
Countries citing papers authored by Paul W. Burridge
This map shows the geographic impact of Paul W. Burridge'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 Paul W. Burridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul W. Burridge more than expected).
Fields of papers citing papers by Paul W. Burridge
This network shows the impact of papers produced by Paul W. Burridge. 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 Paul W. Burridge. The network helps show where Paul W. Burridge may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul W. Burridge, 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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 76 | |
| 9 | 2021 | 59 | |
| 10 | 2021 | 5 | |
| 11 | 2020 | 20 | |
| 12 | 2020 | 24 | |
| 13 | 2017 | 287 | |
| 14 | 2017 | 109 | |
| 15 | Human induced pluripotent stem cell–derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicitybreakdown → | 2016 | 533 |
| 16 | 2016 | 60 | |
| 17 | Chemically defined generation of human cardiomyocytesbreakdown → | 2014 | 1122 |
| 18 | 2014 | 75 | |
| 19 | 2012 | 94 | |
| 20 | 2011 | 319 |
About Paul W. Burridge
Paul W. Burridge is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience, having authored 84 papers that have together received 6.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (49 papers), CRISPR and Genetic Engineering (27 papers), 3D Printing in Biomedical Research (18 papers), Chemotherapy-induced cardiotoxicity and mitigation (17 papers), Tissue Engineering and Regenerative Medicine (11 papers), Neuroscience and Neural Engineering (11 papers), Congenital heart defects research (9 papers) and Cardiac electrophysiology and arrhythmias (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.7k citations), Cellular and Molecular Neuroscience (1.2k citations) and Molecular Biology (4.4k citations). Paul W. Burridge has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Joseph C. Wu, Joseph Gold, Elena Matsa, Jared M. Churko, Arun Sharma, Antje Ebert, Gordon Keller, Feng Lan, Nicholas M. Mordwinkin and Praveen Shukla. Their work appears in journals such as Nature, Circulation and Journal of Clinical Investigation.
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.