Philip Snell
Impact in
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Single-cell and spatial transcriptomics
- Metabolomics and Mass Spectrometry Studies
- Epigenetics and DNA Methylation
- Obstetrics and Gynecology top 10%
Papers in
-
- Pluripotent Stem Cells Research 5
- Renal and related cancers 4
- Genomics and Chromatin Dynamics 2
- Metabolomics and Mass Spectrometry Studies 2
- Microbial Metabolic Engineering and Bioproduction 2
- Surgery 1
- Co-authors
- Kay Elder (5 shared papers)Leila Christie (4 shared papers)Greg Elgar (4 shared papers)Xiaoming Hu (2 shared papers)Paul Blakeley (2 shared papers)Ignacio del Valle (1 shared paper)Paul Robson (2 shared papers)Norah M. E. Fogarty (2 shared papers)
- Journals
- OMICS A Journal of Integrative Biology (2 papers)Nature Communications (1 paper)Thrombosis and Haemostasis (1 paper)Genomics (1 paper)Mammalian Genome (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Philip Snell
11 papers receiving 928 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 740
- Obstetrics and Gynecology 35
- Genetics 127
- Public Health, Environmental and Occupational Health 121
- Immunology 86
Countries citing papers authored by Philip Snell
This map shows the geographic impact of Philip 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 Philip Snell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Snell more than expected).
Fields of papers citing papers by Philip Snell
This network shows the impact of papers produced by Philip 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 Philip Snell. The network helps show where Philip Snell may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip 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 | 2015 | 345 | |
| 2 | 2011 | 186 | |
| 3 | 2004 | 94 | |
| 4 | 2021 | 81 | |
| 5 | 2003 | 69 | |
| 6 | 2001 | 55 | |
| 7 | 2005 | 52 | |
| 8 | 2004 | 30 | |
| 9 | 2003 | 21 | |
| 10 | 2017 | 3 | |
| 11 | 2020 | 3 |
About Philip Snell
Philip Snell is a scholar working on Molecular Biology, Surgery, Aquatic Science, Public Health, Environmental and Occupational Health and Hematology, having authored 11 papers that have together received 939 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Renal and related cancers (4 papers), Genomics and Chromatin Dynamics (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Fish Biology and Ecology Studies (1 paper), T-cell and B-cell Immunology (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Molecular Biology (740 citations), Obstetrics and Gynecology (35 citations), Genetics (127 citations), Public Health, Environmental and Occupational Health (121 citations) and Immunology (86 citations). Philip Snell has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Kay Elder, Leila Christie, Greg Elgar, Xiaoming Hu, Paul Blakeley, Ignacio del Valle, Paul Robson, Norah M. E. Fogarty, Sissy E. Wamaitha and Kathy K. Niakan. Their work appears in journals such as OMICS A Journal of Integrative Biology, Nature Communications, Thrombosis and Haemostasis, Genomics and Mammalian Genome.
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.