Richard C. V. Tyser
- Biophysics top 2%
- Molecular Biology top 10%
- Congenital heart defects research 8
- Single-cell and spatial transcriptomics 5
- Pluripotent Stem Cells Research 3
- Cell Biology top 10%
- Cellular Mechanics and Interactions 2
- Physiology top 10%
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- Neonatal Respiratory Health Research 3
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- Cardiomyopathy and Myosin Studies 3
- Cardiac electrophysiology and arrhythmias 2
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- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Shankar SrinivasJohn C. MarioniAntonio ScialdoneXimena Ibarra-SoriaBerthold GöttgensBenjamin D. SimonsJennifer NicholsLudovic Vallier
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Richard C. V. Tyser
15 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Biophysics 129
- Molecular Biology 1.2k
- Cell Biology 126
- Cancer Research 110
- Physiology 32
Countries citing papers authored by Richard C. V. Tyser
This map shows the geographic impact of Richard C. V. Tyser'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 Richard C. V. Tyser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard C. V. Tyser more than expected).
Fields of papers citing papers by Richard C. V. Tyser
This network shows the impact of papers produced by Richard C. V. Tyser. 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 Richard C. V. Tyser. The network helps show where Richard C. V. Tyser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard C. V. Tyser, 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 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 100 | |
| 8 | Single-cell transcriptomic characterization of a gastrulating human embryobreakdown → | 2021 | 240 |
| 9 | Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesisbreakdown → | 2021 | 169 |
| 10 | 2020 | 1 | |
| 11 | A single-cell molecular map of mouse gastrulation and early organogenesisbreakdown → | 2019 | 546 |
| 12 | 2019 | 20 | |
| 13 | 2017 | 85 | |
| 14 | 2016 | 78 | |
| 15 | 2015 | 37 | |
| 16 | 2014 | 4 | |
| 17 | 2010 | 60 |
About Richard C. V. Tyser
Richard C. V. Tyser is a scholar working on Geriatrics and Gerontology, Molecular Biology and Physiology, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Congenital heart defects research (8 papers), Single-cell and spatial transcriptomics (5 papers), Pluripotent Stem Cells Research (3 papers), Neonatal Respiratory Health Research (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Cellular Mechanics and Interactions (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Biophysics (129 citations), Molecular Biology (1.2k citations) and Cell Biology (126 citations). Richard C. V. Tyser has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Shankar Srinivas, John C. Marioni, Antonio Scialdone, Ximena Ibarra-Soria, Berthold Göttgens, Benjamin D. Simons, Jennifer Nichols, Ludovic Vallier, Carolina Guibentif and Jonathan A. Griffiths. Their work appears in journals such as Nature, Science and Nature Biotechnology.
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.