C. Neil
Impact in
- Cell Biology top 0.5%
- Zebrafish Biomedical Research Applications
- Molecular Biology top 2%
- Congenital heart defects research
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Angiogenesis and VEGF in Cancer
- Epigenetics and DNA Methylation
Papers in ⓘ
- Cell Biology 16
- Zebrafish Biomedical Research Applications 14
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- Congenital heart defects research 31
- CRISPR and Genetic Engineering 7
- Angiogenesis and VEGF in Cancer 6
- Co-authors
- Didier Y. R. Stainier (13 shared papers)David Traver (2 shared papers)Julien Bertrand (2 shared papers)Buyung Santoso (1 shared paper)Robin M. Shaw (6 shared papers)Brian L. Black (3 shared papers)Sarah De Val (2 shared papers)Guson Kang (2 shared papers)
- Journals
- Development (6 papers)Developmental Biology (5 papers)Nature (4 papers)Inflammation Research (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
C. Neil
74 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cell Biology 2.0k
- Molecular Biology 3.9k
- Cardiology and Cardiovascular Medicine 829
- Immunology 599
- Hematology 278
Countries citing papers authored by C. Neil
This map shows the geographic impact of C. Neil'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 C. Neil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Neil more than expected).
Fields of papers citing papers by C. Neil
This network shows the impact of papers produced by C. Neil. 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 C. Neil. The network helps show where C. Neil may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Neil, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Haematopoietic stem cells derive directly from aortic endothelium during development Hit paper breakdown → | 2010 | 774 |
| 2 | 2009 | 356 | |
| 3 | 2008 | 310 | |
| 4 | 2007 | 305 | |
| 5 | 2008 | 267 | |
| 6 | 2013 | 236 | |
| 7 | 2008 | 207 | |
| 8 | 2013 | 204 | |
| 9 | 2010 | 193 | |
| 10 | 2007 | 193 | |
| 11 | 2013 | 151 | |
| 12 | 2013 | 133 | |
| 13 | 2009 | 122 | |
| 14 | 2011 | 117 | |
| 15 | 2007 | 100 | |
| 16 | 2004 | 91 | |
| 17 | 2016 | 89 | |
| 18 | 2012 | 85 | |
| 19 | 2010 | 85 | |
| 20 | 2014 | 83 |
About C. Neil
C. Neil is a scholar working on Cell Biology, Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology and Genetics, having authored 76 papers that have together received 5.7k indexed citations. Recurring topics across this work include Congenital heart defects research (31 papers), Cardiomyopathy and Myosin Studies (14 papers), Zebrafish Biomedical Research Applications (14 papers), Congenital Heart Disease Studies (10 papers), CRISPR and Genetic Engineering (7 papers), Cardiac electrophysiology and arrhythmias (6 papers), Angiogenesis and VEGF in Cancer (6 papers) and Animal Genetics and Reproduction (6 papers). The work is most often cited by research in Cell Biology (2.0k citations), Molecular Biology (3.9k citations), Cardiology and Cardiovascular Medicine (829 citations), Immunology (599 citations) and Hematology (278 citations). C. Neil has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Didier Y. R. Stainier, David Traver, Julien Bertrand, Buyung Santoso, Robin M. Shaw, Brian L. Black, Sarah De Val, Guson Kang, Lily Yeh Jan and Herwig Baier. Their work appears in journals such as Development, Developmental Biology, Nature, Inflammation Research and PLoS ONE.
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.