Phil Grayson

1.0k total citations · 1 hit paper
17 papers, 564 citations indexed

About

Phil Grayson is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Phil Grayson has authored 17 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Phil Grayson's work include Genomics and Phylogenetic Studies (5 papers), Genetic diversity and population structure (5 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Phil Grayson is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Genetic diversity and population structure (5 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Phil Grayson collaborates with scholars based in United States, Canada and Austria. Phil Grayson's co-authors include Scott V. Edwards, Timothy B. Sackton, Allan J. Baker, Alison Cloutier, Michèle Clamp, Julia A. Clarke, Alberto Civetta, Jun S. Liu, Zhirui Hu and Nicole E. Wheeler and has published in prestigious journals such as Science, Environmental Science & Technology and Nature Biotechnology.

In The Last Decade

Phil Grayson

17 papers receiving 552 citations

Hit Papers

Improved cytosine base editors generated from TadA variants 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phil Grayson United States 11 291 272 87 85 84 17 564
S.J. Charter United States 8 295 1.0× 191 0.7× 98 1.1× 70 0.8× 57 0.7× 11 686
Sara Keeble United States 11 144 0.5× 280 1.0× 80 0.9× 67 0.8× 114 1.4× 15 402
Sergio Cardoso Spain 18 273 0.9× 458 1.7× 38 0.4× 94 1.1× 110 1.3× 48 693
Olga Kardailsky New Zealand 12 221 0.8× 364 1.3× 112 1.3× 38 0.4× 82 1.0× 21 558
Fritjof Lammers Germany 7 128 0.4× 141 0.5× 137 1.6× 23 0.3× 42 0.5× 8 325
Oxana Kolomiets Russia 16 273 0.9× 411 1.5× 58 0.7× 413 4.9× 89 1.1× 87 693
P.G. Johnston Australia 17 374 1.3× 488 1.8× 90 1.0× 278 3.3× 40 0.5× 31 683
Brad Gulko United States 7 543 1.9× 661 2.4× 59 0.7× 91 1.1× 52 0.6× 7 952
Phillip George United States 8 156 0.5× 86 0.3× 51 0.6× 91 1.1× 64 0.8× 14 362
Laurits Skov Denmark 10 217 0.7× 492 1.8× 55 0.6× 104 1.2× 63 0.8× 13 690

Countries citing papers authored by Phil Grayson

Since Specialization
Citations

This map shows the geographic impact of Phil Grayson'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 Grayson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Grayson more than expected).

Fields of papers citing papers by Phil Grayson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phil Grayson. 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 Grayson. The network helps show where Phil Grayson may publish in the future.

Co-authorship network of co-authors of Phil Grayson

This figure shows the co-authorship network connecting the top 25 collaborators of Phil Grayson. A scholar is included among the top collaborators of Phil Grayson 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 Grayson. Phil Grayson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Edwards, Scott V., Alison Cloutier, Phil Grayson, et al.. (2024). A nuclear genome assembly of an extinct flightless bird, the little bush moa. Science Advances. 10(21). eadj6823–eadj6823. 1 indexed citations
2.
Lam, Dieter K., Patrícia R. Feliciano, Amena Arif, et al.. (2023). Improved cytosine base editors generated from TadA variants. Nature Biotechnology. 41(5). 686–697. 79 indexed citations breakdown →
3.
Lawrence, Michael, Phil Grayson, Jennifer D. Jeffrey, et al.. (2023). Transcriptomic impacts and potential routes of detoxification in a lampricide-tolerant teleost exposed to TFM and niclosamide. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 46. 101074–101074. 3 indexed citations
4.
Lawrence, Michael, Phil Grayson, Jennifer D. Jeffrey, et al.. (2023). Differences in the transcriptome response in the gills of sea lamprey acutely exposed to 3-trifluoromethyl-4-nitrophenol (TFM), niclosamide or a TFM:niclosamide mixture. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 48. 101122–101122. 1 indexed citations
6.
Lawrence, Michael, Phil Grayson, Jennifer D. Jeffrey, et al.. (2022). Variation in the Transcriptome Response and Detoxification Gene Diversity Drives Pesticide Tolerance in Fishes. Environmental Science & Technology. 56(17). 12137–12147. 8 indexed citations
7.
Xu, Luohao, Simon Yung Wa Sin, Phil Grayson, Scott V. Edwards, & Timothy B. Sackton. (2019). Evolutionary Dynamics of Sex Chromosomes of Paleognathous Birds. Genome Biology and Evolution. 11(8). 2376–2390. 35 indexed citations
8.
Cloutier, Alison, Timothy B. Sackton, Phil Grayson, et al.. (2019). Whole-Genome Analyses Resolve the Phylogeny of Flightless Birds (Palaeognathae) in the Presence of an Empirical Anomaly Zone. Systematic Biology. 68(6). 937–955. 82 indexed citations
9.
Young, John J., Phil Grayson, Scott V. Edwards, & Clifford J. Tabin. (2019). Attenuated Fgf Signaling Underlies the Forelimb Heterochrony in the Emu Dromaius novaehollandiae. Current Biology. 29(21). 3681–3691.e5. 21 indexed citations
10.
Lamichhaney, Sangeet, Daren C. Card, Phil Grayson, et al.. (2019). Integrating natural history collections and comparative genomics to study the genetic architecture of convergent evolution. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1777). 20180248–20180248. 32 indexed citations
11.
Sackton, Timothy B., Phil Grayson, Alison Cloutier, et al.. (2019). Convergent regulatory evolution and loss of flight in paleognathous birds. Science. 364(6435). 74–78. 172 indexed citations
12.
Grayson, Phil, Simon Yung Wa Sin, Timothy B. Sackton, & Scott V. Edwards. (2017). Comparative Genomics as a Foundation for Evo-Devo Studies in Birds. Methods in molecular biology. 1650. 11–46. 14 indexed citations
13.
Grayson, Phil. (2015). Izumo1 and Juno: the evolutionary origins and coevolution of essential sperm–egg binding partners. Royal Society Open Science. 2(12). 150296–150296. 45 indexed citations
14.
Grayson, Phil & Alberto Civetta. (2013). Positive selection in the adhesion domain of Mus sperm Adam genes through gene duplications and function-driven gene complex formations. BMC Evolutionary Biology. 13(1). 217–217. 10 indexed citations
15.
Grayson, Phil, Barb Glassey, & Scott Forbes. (2013). Does Brood Parasitism Induce Paternal Care in a Polygynous Host?. Ethology. 119(6). 489–495. 9 indexed citations
16.
Grayson, Phil & Alberto Civetta. (2012). Positive Selection and the Evolution ofizumoGenes in Mammals. PubMed. 2012. 1–7. 22 indexed citations
17.
Schurman, Jennifer V., Yelena P. Wu, Phil Grayson, & Craig A. Friesen. (2010). A Pilot Study to Assess the Efficacy of Biofeedback-Assisted Relaxation Training as an Adjunct Treatment for Pediatric Functional Dyspepsia Associated with Duodenal Eosinophilia. Journal of Pediatric Psychology. 35(8). 837–847. 25 indexed citations

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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