Phil Snell

1.7k citations
12 papers · 1.1k indexed · 1 hit paper · h-index 9

Impact in

    • 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

Phil Snell

10 papers receiving 1.1k citations

Hit Papers

Highly Conserved Non-Coding Sequences Are Associated with Vertebrate Development 2004 · 723 citations
7230+7+14Years since publication200400600

Peers

Phil Snell
Comparison fields: 5 of 80
  • Molecular Biology 982
  • Genetics 303
  • Aging 17
  • Developmental Biology 16
  • Plant Science 209
Replace Darío G. Lupiáñez with:
Darío G. Lupiáñez Germany
Kevin A. Peterson United States
Miguel Maroto United Kingdom
Natalia Soshnikova Germany
Michaela Neusser Germany
Debbie K. Goode United Kingdom
Tyler H. Garvin United States
Zehra Ali United Kingdom
Yacine Graba France
Anna L. Keyte United States
Phil Snell relative to Darío G. Lupiáñez Germany Darío G. Lupiáñez's profile →
Citations per field
00.5×1.5×
Darío G. Lupiáñez · 1×
Citations per year

Countries citing papers authored by Phil Snell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Phil Snell Line = papers co-authored together Phil Snell links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Highly Conserved Non-Coding Sequences Are Associated with Vertebrate Development
Hit paper breakdown →
2004723
2 2020180
3 200756
4 202046
5 200736
6 202323
7 202418
8 202115
9 20239
10 20056
11 20240
12 20250

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 1.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Renal and related cancers (3 papers), Genomics and Chromatin Dynamics (3 papers), Reproductive Biology and Fertility (3 papers), Prenatal Screening and Diagnostics (2 papers), Congenital heart defects research (2 papers), Molecular Biology Techniques and Applications (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Biology (982 citations), Genetics (303 citations), Aging (17 citations), Developmental Biology (16 citations) and Plant Science (209 citations). Phil Snell has collaborated with scholars based in United Kingdom, United States and Egypt. Frequent co-authors include Greg Elgar, Julie E. Cooke, Adam Woolfe, Gayle K. McEwen, Heather Callaway, Debbie K. Goode, Sarah Smith, Yvonne J. K. Edwards, Irina Abnizova and Klaudia Walter. Their work appears in journals such as Development, Comparative Biochemistry and Physiology Part D Genomics and Proteomics, PLoS Biology, Nature Communications and BMC Developmental 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.

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