C. Neil
Impact in
- Genetics top 10%
- Animal Genetics and Reproduction
- Virus-based gene therapy research
Papers in
-
- Congenital heart defects research 6
- CRISPR and Genetic Engineering 5
- Pluripotent Stem Cells Research 3
- Developmental Biology and Gene Regulation 3
- RNA and protein synthesis mechanisms 3
- S100 Proteins and Annexins 2
- Single-cell and spatial transcriptomics 2
- Genetics 8
- Animal Genetics and Reproduction 6
- Co-authors
- Daniel M Fatovich (6 shared papers)Glenn Arendts (5 shared papers)Stephen Macdonald (4 shared papers)Bruce Whitelaw (7 shared papers)Simon Lillico (4 shared papers)Simon G.A. Brown (3 shared papers)Tim King (4 shared papers)William A. Ritchie (4 shared papers)
- Journals
- Inflammation Research (3 papers)Journal of Critical Care (2 papers)PLoS ONE (2 papers)G3 Genes Genomes Genetics (1 paper)Gene Therapy (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
C. Neil
27 papers receiving 905 citations
C. Neil's Hit Papers
Peers
Comparison fields: 5 of 90
- Critical Care and Intensive Care Medicine 41
- Genetics 245
- Molecular Biology 578
- Nephrology 29
- Cardiology and Cardiovascular Medicine 75
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 151 | |
| 2 | Spatially organized cellular communities form the developing human heart Hit paper breakdown → | 2024 | 85 |
| 3 | 2014 | 83 | |
| 4 | 2012 | 78 | |
| 5 | 2021 | 69 | |
| 6 | 1997 | 59 | |
| 7 | 2021 | 57 | |
| 8 | 2018 | 51 | |
| 9 | 2017 | 47 | |
| 10 | 2019 | 40 | |
| 11 | 2019 | 39 | |
| 12 | 2008 | 29 | |
| 13 | 2017 | 29 | |
| 14 | 2011 | 25 | |
| 15 | 2016 | 21 | |
| 16 | 2019 | 10 | |
| 17 | 2016 | 10 | |
| 18 | 2024 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2005 | 7 |
About C. Neil
C. Neil is a scholar working on Molecular Biology, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 27 papers that have together received 929 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (6 papers), Congenital heart defects research (6 papers), CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (3 papers), Developmental Biology and Gene Regulation (3 papers), RNA and protein synthesis mechanisms (3 papers), S100 Proteins and Annexins (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (41 citations), Genetics (245 citations), Molecular Biology (578 citations), Nephrology (29 citations) and Cardiology and Cardiovascular Medicine (75 citations). C. Neil has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Daniel M Fatovich, Glenn Arendts, Stephen Macdonald, Bruce Whitelaw, Simon Lillico, Simon G.A. Brown, Tim King, William A. Ritchie, Erika Bosio and Qingquan Zhang. Their work appears in journals such as Inflammation Research, Journal of Critical Care, PLoS ONE, G3 Genes Genomes Genetics and Gene Therapy.
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.