Richard C. V. Tyser
- Molecular Biology top 10%
- Immunology
- Biophysics top 2%
- Cell Biology top 10%
- Surgery
- Co-authors
- Shankar SrinivasJohn C. MarioniAntonio ScialdoneXimena Ibarra-SoriaBerthold GöttgensBenjamin D. SimonsJennifer NicholsLudovic Vallier
- Topics
- Congenital heart defects research (8 papers)Single-cell and spatial transcriptomics (5 papers)Pluripotent Stem Cells Research (3 papers)
- Journals
- NatureScienceNature Biotechnology
- 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
- Molecular Biology 1.2k
- Immunology 136
- Biophysics 129
- Cell Biology 126
- Surgery 124
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 of co-authors of Richard C. V. Tyser
This figure shows the co-authorship network connecting the top 25 collaborators of Richard C. V. Tyser. A scholar is included among the top collaborators of Richard C. V. Tyser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard C. V. Tyser. Richard C. V. Tyser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 100 | |
| 8 | Single-cell transcriptomic characterization of a gastrulating human embryobreakdown → | 240 |
| 9 | Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesisbreakdown → | 169 |
| 10 | 1 | |
| 11 | A single-cell molecular map of mouse gastrulation and early organogenesisbreakdown → | 546 |
| 12 | 20 | |
| 13 | 85 | |
| 14 | 78 | |
| 15 | 37 | |
| 16 | 4 | |
| 17 | 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) and Pluripotent Stem Cells Research (3 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.