Phil Snell

1.7k total citations · 1 hit paper
12 papers, 1.1k citations indexed

About

Phil Snell is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Phil Snell has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Phil Snell's work include Pluripotent Stem Cells Research (6 papers), Reproductive Biology and Fertility (3 papers) and Renal and related cancers (3 papers). Phil Snell is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), Reproductive Biology and Fertility (3 papers) and Renal and related cancers (3 papers). Phil Snell collaborates with scholars based in United Kingdom, Belgium and Egypt. Phil Snell's co-authors include Greg Elgar, Sarah Smith, Gayle K. McEwen, Julie E. Cooke, Heather Callaway, Debbie K. Goode, Adam Woolfe, Yvonne J. K. Edwards, Irina Abnizova and Walter R. Gilks and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Phil Snell

10 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Highly Conserved Non-Coding Sequences Are Associated with Vertebrate Development

2004 723 citations Adam Woolfe, Martin Goodson et al. PLoS Biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Phil Snell United Kingdom	9	982	303	209	78	76	12	1.1k
Aydan Bulut-Karslıoğlu Germany	12	1.2k 1.2×	140 0.5×	321 1.5×	119 1.5×	66 0.9×	20	1.4k
Makiko Tsutsumi Japan	18	587 0.6×	311 1.0×	142 0.7×	52 0.7×	180 2.4×	46	959
Darío G. Lupiáñez Germany	15	1.2k 1.2×	449 1.5×	332 1.6×	182 2.3×	41 0.5×	28	1.5k
Ângela Gonçalves United Kingdom	12	1.2k 1.2×	270 0.9×	308 1.5×	330 4.2×	40 0.5×	18	1.5k
Makio Fujioka Japan	10	733 0.7×	194 0.6×	116 0.6×	98 1.3×	145 1.9×	14	1.0k
Kevin A. Peterson United States	16	919 0.9×	191 0.6×	69 0.3×	71 0.9×	18 0.2×	23	1.0k
Alexander W. Bruce Czechia	18	1.2k 1.3×	302 1.0×	55 0.3×	116 1.5×	208 2.7×	31	1.6k
Julie Brind’Amour Canada	16	1.1k 1.2×	246 0.8×	211 1.0×	100 1.3×	84 1.1×	26	1.3k
Alexey Ruzov United Kingdom	16	1.3k 1.3×	337 1.1×	64 0.3×	96 1.2×	26 0.3×	47	1.4k
Isabelle Stévant Switzerland	16	985 1.0×	489 1.6×	59 0.3×	155 2.0×	184 2.4×	26	1.3k

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-authorship network of co-authors of Phil Snell

This figure shows the co-authorship network connecting the top 25 collaborators of Phil Snell. A scholar is included among the top collaborators of Phil Snell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phil Snell. Phil Snell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

McCarthy, Afshan, Leila Mureşan, Kay Elder, et al.. (2025). Live imaging of late-stage preimplantation human embryos reveals de novo mitotic errors. Nature Biotechnology.

2.

Balestrini, Paula A., Afshan McCarthy, Liani Devito, et al.. (2024). Transcription factor-based transdifferentiation of human embryonic to trophoblast stem cells. Development. 151(17).

3.

Khoei, Heidar Heidari, Harunobu Kagawa, Saurabh J. Pradhan, et al.. (2024). mTOR activity paces human blastocyst stage developmental progression. Cell. 187(23). 6566–6583.e22. 18 indexed citations

4.

Alanis‐Lobato, Gregorio, Thomas E. Bartlett, Claire Simon, et al.. (2023). MICA: a multi-omics method to predict gene regulatory networks in early human embryos. Life Science Alliance. 7(1). e202302415–e202302415. 9 indexed citations

5.

Gerri, Claudia, Afshan McCarthy, Claire Simon, et al.. (2023). A conserved role of the Hippo signalling pathway in initiation of the first lineage specification event across mammals. Development. 150(8). 23 indexed citations

6.

Lea, Rebecca A., Afshan McCarthy, Stefan Boeing, et al.. (2021). KLF17 promotes human naïve pluripotency but is not required for its establishment. Development. 148(22). 15 indexed citations

7.

Gerri, Claudia, Afshan McCarthy, Gregorio Alanis‐Lobato, et al.. (2020). Initiation of a conserved trophectoderm program in human, cow and mouse embryos. Nature. 587(7834). 443–447. 180 indexed citations

8.

Wamaitha, Sissy E., Gregorio Alanis‐Lobato, Claudia Gerri, et al.. (2020). IGF1-mediated human embryonic stem cell self-renewal recapitulates the embryonic niche. Nature Communications. 11(1). 764–764. 46 indexed citations

9.

Woolfe, Adam, Debbie K. Goode, Julie E. Cooke, et al.. (2007). CONDOR: a database resource of developmentally associated conserved non-coding elements. BMC Developmental Biology. 7(1). 100–100. 56 indexed citations

10.

Ikeda, Daisuke, Yosuke Ono, Phil Snell, et al.. (2007). Divergent evolution of the myosin heavy chain gene family in fish and tetrapods: evidence from comparative genomic analysis. Physiological Genomics. 32(1). 1–15. 36 indexed citations

11.

Edwards, Yvonne J. K., Klaudia Walter, Gayle K. McEwen, et al.. (2005). Characterisation of conserved non-coding sequences in vertebrate genomes using bioinformatics, statistics and functional studies. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 1(1). 46–58. 6 indexed citations

12.

Woolfe, Adam, Martin Goodson, Debbie K. Goode, et al.. (2004). Highly Conserved Non-Coding Sequences Are Associated with Vertebrate Development. PLoS Biology. 3(1). e7–e7. 723 indexed citations breakdown →

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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