Phil Howell

1.6k total citations
29 papers, 1.0k citations indexed

About

Phil Howell is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Phil Howell has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 15 papers in Genetics and 3 papers in Agronomy and Crop Science. Recurrent topics in Phil Howell's work include Wheat and Barley Genetics and Pathology (15 papers), Genetics and Plant Breeding (15 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Phil Howell is often cited by papers focused on Wheat and Barley Genetics and Pathology (15 papers), Genetics and Plant Breeding (15 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Phil Howell collaborates with scholars based in United Kingdom, Mexico and Bangladesh. Phil Howell's co-authors include Ian Mackay, James Cockram, Alison R. Bentley, Andy Greenland, Robert Jackson, John M. Hickey, Richard Horsnell, Gemma A. Rose, W. Powell and Gregor Gorjanc and has published in prestigious journals such as Genetics, New Phytologist and PLoS Biology.

In The Last Decade

Phil Howell

27 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phil Howell United Kingdom 16 918 562 124 79 39 29 1.0k
Camila Ferreira Azevedo Brazil 15 631 0.7× 451 0.8× 75 0.6× 68 0.9× 37 0.9× 104 863
Renaud Rincent France 20 1.1k 1.2× 888 1.6× 156 1.3× 106 1.3× 73 1.9× 40 1.3k
Jesús Moreno‐González Spain 17 975 1.1× 779 1.4× 147 1.2× 106 1.3× 20 0.5× 34 1.1k
Philomin Juliana Mexico 23 1.4k 1.6× 909 1.6× 167 1.3× 119 1.5× 58 1.5× 56 1.6k
Jaime Cuevas Mexico 15 1.5k 1.6× 1.3k 2.3× 119 1.0× 127 1.6× 71 1.8× 28 1.8k
Timothy Beissinger United States 16 747 0.8× 650 1.2× 75 0.6× 260 3.3× 37 0.9× 31 1.1k
R. Chris Gaynor United Kingdom 18 1.0k 1.1× 998 1.8× 108 0.9× 105 1.3× 34 0.9× 29 1.3k
Akio Onogi Japan 15 562 0.6× 530 0.9× 77 0.6× 117 1.5× 15 0.4× 41 805
Brigitte Gouesnard France 17 966 1.1× 667 1.2× 169 1.4× 124 1.6× 43 1.1× 34 1.1k
Sébastien Praud France 18 955 1.0× 391 0.7× 218 1.8× 121 1.5× 40 1.0× 23 1.0k

Countries citing papers authored by Phil Howell

Since Specialization
Citations

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

Fields of papers citing papers by Phil Howell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil Howell

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

All Works

20 of 20 papers shown
1.
Ray, Rumiana V., et al.. (2025). Harnessing primary, secondary and tertiary genepools for durable wheat disease resistance. Theoretical and Applied Genetics. 138(11). 270–270.
2.
Barber, Tobias, Phil Howell, Beata Orman-Ligeza, et al.. (2024). An eight-founder wheat MAGIC population allows fine-mapping of flowering time loci and provides novel insights into the genetic control of flowering time. Theoretical and Applied Genetics. 137(12). 277–277. 3 indexed citations
3.
Hawkesford, Malcolm J., et al.. (2024). Genetic variation in leaf photosynthesis and associated traits in elite and landrace-derived genotypes in wheat. The Journal of Agricultural Science. 162(6). 573–583. 1 indexed citations
4.
Horsnell, Richard, Amanda Burridge, Keith A. Gardner, et al.. (2024). A new winter wheat genetic resource harbors untapped diversity from synthetic hexaploid wheat. Theoretical and Applied Genetics. 137(3). 73–73. 5 indexed citations
5.
Fradgley, Nick, Keith A. Gardner, Alison R. Bentley, et al.. (2023). Multi-trait ensemble genomic prediction and simulations of recurrent selection highlight importance of complex trait genetic architecture for long-term genetic gains in wheat. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 5(1). 19 indexed citations
6.
Horsnell, Richard, Fiona Leigh, Amanda Burridge, et al.. (2023). A wheat chromosome segment substitution line series supports characterization and use of progenitor genetic variation. The Plant Genome. 17(1). e20288–e20288. 5 indexed citations
7.
Jackson, Robert, Alison R. Bentley, Jacob Lage, et al.. (2023). Phenomic and genomic prediction of yield on multiple locations in winter wheat. Frontiers in Genetics. 14. 1164935–1164935. 15 indexed citations
8.
Scott, Michael, Nick Fradgley, Alison R. Bentley, et al.. (2021). Limited haplotype diversity underlies polygenic trait architecture across 70 years of wheat breeding. Genome biology. 22(1). 137–137. 50 indexed citations
9.
Mackay, Ian, James Cockram, Phil Howell, & W. Powell. (2020). Understanding the classics: the unifying concepts of transgressive segregation, inbreeding depression and heterosis and their central relevance for crop breeding. Plant Biotechnology Journal. 19(1). 26–34. 80 indexed citations
10.
Tkacz, Andrzej, Francesco Pini, Thomas R. Turner, et al.. (2020). Agricultural Selection of Wheat Has Been Shaped by Plant-Microbe Interactions. Frontiers in Microbiology. 11. 132–132. 58 indexed citations
11.
Fradgley, Nick, Keith A. Gardner, James Cockram, et al.. (2019). A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders. PLoS Biology. 17(2). e3000071–e3000071. 55 indexed citations
12.
Edwards, Stefan McKinnon, Robert Jackson, Alison R. Bentley, et al.. (2019). The effects of training population design on genomic prediction accuracy in wheat. Theoretical and Applied Genetics. 132(7). 1943–1952. 74 indexed citations
13.
Bentley, Alison R., Marco Scutari, N. Gosman, et al.. (2014). Applying association mapping and genomic selection to the dissection of key traits in elite European wheat. Theoretical and Applied Genetics. 127(12). 2619–2633. 76 indexed citations
14.
Howard, Thomas P., Brendan Fahy, Fiona Leigh, et al.. (2014). Use of advanced recombinant lines to study the impact and potential of mutations affecting starch synthesis in barley. Journal of Cereal Science. 59(2). 196–202. 12 indexed citations
15.
Bentley, Alison R., Richard Horsnell, Christian Werner, et al.. (2013). Short, natural, and extended photoperiod response in BC2F4 lines of bread wheat with different Photoperiod-1 (Ppd-1) alleles. Journal of Experimental Botany. 64(7). 1783–1793. 52 indexed citations
16.
Howard, Thomas P., Brendan Fahy, Fiona Leigh, et al.. (2012). Barley mutants with low rates of endosperm starch synthesis have low grain dormancy and high susceptibility to preharvest sprouting. New Phytologist. 194(1). 158–167. 20 indexed citations
17.
18.
Howell, Phil. (1981). The Risks from Exotic Potato Viruses1. EPPO Bulletin. 11(3). 243–249. 4 indexed citations
19.
20.
Howell, Phil. (1973). The relationship between winter temperatures and the extent of potato leaf-roll virus in seed potatoes in Scotland. Potato Research. 16(1). 30–42. 8 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Camila Ferreira Azevedo Breakdown of academic impact, for papers by Renaud Rincent Breakdown of academic impact, for papers by Jesús Moreno‐González Breakdown of academic impact, for papers by Philomin Juliana Breakdown of academic impact, for papers by Jaime Cuevas Breakdown of academic impact, for papers by Timothy Beissinger Breakdown of academic impact, for papers by R. Chris Gaynor Breakdown of academic impact, for papers by Akio Onogi Breakdown of academic impact, for papers by Brigitte Gouesnard Breakdown of academic impact, for papers by Sébastien Praud
Rankless by CCL
2026