Phil Snell
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- Pluripotent Stem Cells Research
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Developmental Biology and Gene Regulation
- CRISPR and Genetic Engineering
- Genetics top 10%
Papers in
-
- Pluripotent Stem Cells Research 6
- Renal and related cancers 3
- Genomics and Chromatin Dynamics 2
- Molecular Biology Techniques and Applications 2
- Developmental Biology and Gene Regulation 2
- CRISPR and Genetic Engineering 2
-
- Reproductive Biology and Fertility 3
- Co-authors
- Greg Elgar (4 shared papers)Sarah Smith (3 shared papers)Julie E. Cooke (3 shared papers)Yvonne J. K. Edwards (3 shared papers)Debbie K. Goode (3 shared papers)Heather Callaway (3 shared papers)Adam Woolfe (3 shared papers)Gayle K. McEwen (3 shared papers)
- Journals
- Development (3 papers)Nature Biotechnology (1 paper)Life Science Alliance (1 paper)Nature (1 paper)PLoS Biology (1 paper)
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
Phil Snell
11 papers receiving 1.1k citations
Phil Snell's Hit Papers
Peers
Comparison fields: 5 of 79
- Molecular Biology 949
- Genetics 299
- Aging 16
- Developmental Biology 15
- Cancer Research 73
Countries citing papers authored by Phil Snell
This map shows the geographic impact of Phil Snell'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 Phil Snell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Snell more than expected).
Fields of papers citing papers by Phil Snell
This network shows the impact of papers produced by Phil Snell. 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 Phil Snell. The network helps show where Phil Snell may publish in the future.
Co-authors
The 25 scholars most cited alongside Phil Snell, 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 | Highly Conserved Non-Coding Sequences Are Associated with Vertebrate Development Hit paper breakdown → | 2004 | 766 |
| 2 | 2020 | 187 | |
| 3 | 2007 | 57 | |
| 4 | 2020 | 48 | |
| 5 | 2007 | 38 | |
| 6 | 2024 | 24 | |
| 7 | 2023 | 23 | |
| 8 | 2021 | 17 | |
| 9 | 2023 | 9 | |
| 10 | 2005 | 6 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 0 |
About Phil Snell
Phil Snell is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Genetics and Cell Biology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Renal and related cancers (3 papers), Reproductive Biology and Fertility (3 papers), Genomics and Chromatin Dynamics (2 papers), Prenatal Screening and Diagnostics (2 papers), Molecular Biology Techniques and Applications (2 papers), Developmental Biology and Gene Regulation (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Biology (949 citations), Genetics (299 citations), Aging (16 citations), Developmental Biology (15 citations) and Cancer Research (73 citations). Phil Snell has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Greg Elgar, Sarah Smith, Julie E. Cooke, Yvonne J. K. Edwards, Debbie K. Goode, Heather Callaway, Adam Woolfe, Gayle K. McEwen, Klaudia Walter and Walter R. Gilks. Their work appears in journals such as Development, Nature Biotechnology, Life Science Alliance, Nature and PLoS Biology.
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.