Chris Denning
- Molecular Biology top 2%
- Pluripotent Stem Cells Research 51
- CRISPR and Genetic Engineering 35
- Congenital heart defects research 9
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- Neuroscience and Neural Engineering 26
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- Cardiomyopathy and Myosin Studies 10
- Cardiac electrophysiology and arrhythmias 8
- Biomedical Engineering top 1%
- 3D Printing in Biomedical Research 28
- Biophysics top 1%
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- Tissue Engineering and Regenerative Medicine 18
- Co-authors
- Lorraine YoungDivya RajamohanD. N. AndersonElena MatsaChristine L. MummeryEmily DickIan R. MellorJames G.W. Smith
- Journals
- Stem Cells and Development (6 papers)International Journal of Environmental Research and Public Health (5 papers)Stem Cell Reports (4 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Chris Denning
113 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 3.5k
- Cellular and Molecular Neuroscience 872
- Cardiology and Cardiovascular Medicine 845
- Biomedical Engineering 1.6k
- Biophysics 209
Countries citing papers authored by Chris Denning
This map shows the geographic impact of Chris Denning'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 Chris Denning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Denning more than expected).
Fields of papers citing papers by Chris Denning
This network shows the impact of papers produced by Chris Denning. 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 Chris Denning. The network helps show where Chris Denning may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chris Denning, 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 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 4 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 51 | |
| 9 | 2020 | 14 | |
| 10 | 2019 | 9 | |
| 11 | 2018 | 16 | |
| 12 | 2018 | 18 | |
| 13 | 2016 | 89 | |
| 14 | 2016 | 44 | |
| 15 | 2013 | 7 | |
| 16 | 2013 | 58 | |
| 17 | 2010 | 21 | |
| 18 | 2009 | 12 | |
| 19 | 2003 | 58 | |
| 20 | 2001 | 55 |
About Chris Denning
Chris Denning is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Molecular Biology, having authored 121 papers that have together received 5.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (51 papers), CRISPR and Genetic Engineering (35 papers), 3D Printing in Biomedical Research (28 papers), Neuroscience and Neural Engineering (26 papers), Tissue Engineering and Regenerative Medicine (18 papers), Cardiomyopathy and Myosin Studies (10 papers), Congenital heart defects research (9 papers) and Cardiac electrophysiology and arrhythmias (8 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Cellular and Molecular Neuroscience (872 citations) and Cardiology and Cardiovascular Medicine (845 citations). Chris Denning has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Lorraine Young, Divya Rajamohan, D. N. Anderson, Elena Matsa, Christine L. Mummery, Emily Dick, Ian R. Mellor, James G.W. Smith, Cinzia Allegrucci and Helen Priddle. Their work appears in journals such as Stem Cells and Development, International Journal of Environmental Research and Public Health, Stem Cell Reports, Biotechnology and Bioengineering and European Heart Journal.
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.