Julie Graham

2.7k total citations · 1 hit paper
63 papers, 1.8k citations indexed

About

Julie Graham is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Julie Graham has authored 63 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Plant Science, 23 papers in Molecular Biology and 22 papers in Cell Biology. Recurrent topics in Julie Graham's work include Berry genetics and cultivation research (51 papers), Plant Pathogens and Fungal Diseases (22 papers) and Plant Physiology and Cultivation Studies (13 papers). Julie Graham is often cited by papers focused on Berry genetics and cultivation research (51 papers), Plant Pathogens and Fungal Diseases (22 papers) and Plant Physiology and Cultivation Studies (13 papers). Julie Graham collaborates with scholars based in United Kingdom, United States and New Zealand. Julie Graham's co-authors include R.J. McNicol, Alison J. Karley, Carolyn Mitchell, R.M. Brennan, M. Woodhead, K. F. Smith, Christine A. Hackett, Susan McCallum, Katrin Mackenzie and Kylie T. Greig and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and New Phytologist.

In The Last Decade

Julie Graham

62 papers receiving 1.6k citations

Hit Papers

Plant Defense against Herbivorous Pests: Exploiting Resis... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julie Graham United Kingdom 27 1.5k 734 407 238 162 63 1.8k
James Polashock United States 29 1.7k 1.1× 797 1.1× 621 1.5× 179 0.8× 182 1.1× 97 2.2k
Jenny Morris United Kingdom 32 2.4k 1.6× 930 1.3× 219 0.5× 156 0.7× 144 0.9× 70 2.8k
Ksenija Gašić United States 23 1.7k 1.1× 913 1.2× 264 0.6× 33 0.1× 81 0.5× 74 2.1k
Changsong Zou China 18 1.7k 1.1× 1.2k 1.6× 114 0.3× 101 0.4× 51 0.3× 30 2.1k
Kim S. Lewers United States 22 1.2k 0.8× 557 0.8× 286 0.7× 39 0.2× 159 1.0× 55 1.5k
Raymond J. Schnell United States 23 869 0.6× 506 0.7× 95 0.2× 118 0.5× 89 0.5× 84 2.0k
Stefano La Malfa Italy 26 1.7k 1.1× 910 1.2× 301 0.7× 79 0.3× 225 1.4× 129 2.3k
Patricio Hinrichsen Chile 21 1.3k 0.9× 579 0.8× 166 0.4× 62 0.3× 64 0.4× 93 1.7k
Marcel C. Van Verk Netherlands 15 2.2k 1.5× 934 1.3× 130 0.3× 274 1.2× 30 0.2× 19 2.6k
Walter S. De Jong United States 30 2.5k 1.7× 851 1.2× 227 0.6× 57 0.2× 221 1.4× 70 3.0k

Countries citing papers authored by Julie Graham

Since Specialization
Citations

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

Fields of papers citing papers by Julie Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie Graham

This figure shows the co-authorship network connecting the top 25 collaborators of Julie Graham. A scholar is included among the top collaborators of Julie Graham 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 Julie Graham. Julie Graham 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.
McDougall, Gordon J., Gary Dobson, Colin J. Alexander, et al.. (2023). Quantitative trait loci mapping of polyphenol metabolites from a ‘Latham’ x ‘Glen Moy’ red raspberry (Rubus idaeus L) cross. Metabolomics. 19(8). 71–71.
2.
Karley, Alison J., et al.. (2023). Raspberry plant stress detection using hyperspectral imaging. Plant Direct. 7(3). e490–e490. 10 indexed citations
3.
Hackett, Christine A., et al.. (2021). Seeing the wood for the trees: hyperspectral imaging for high throughput QTL detection in raspberry, a perennial crop species. SHILAP Revista de lepidopterología. 1(1). 1–11. 3 indexed citations
4.
Schlautman, Brandon, Luis Díaz‐García, Giovanny Covarrubias‐Pazaran, et al.. (2017). Comparative genetic mapping reveals synteny and collinearity between the American cranberry and diploid blueberry genomes. Molecular Breeding. 38(1). 14 indexed citations
5.
Mitchell, Carolyn, R.M. Brennan, Julie Graham, & Alison J. Karley. (2016). Plant Defense against Herbivorous Pests: Exploiting Resistance and Tolerance Traits for Sustainable Crop Protection. Frontiers in Plant Science. 7. 1132–1132. 263 indexed citations breakdown →
6.
Simpson, Craig G., D. W. Cullen, Christine A. Hackett, et al.. (2016). Mapping and expression of genes associated with raspberry fruit ripening and softening. Theoretical and Applied Genetics. 130(3). 557–572. 23 indexed citations
7.
8.
Paterson, Alistair, et al.. (2012). Environmental and seasonal influences on red raspberry flavour volatiles and identification of quantitative trait loci (QTL) and candidate genes. Theoretical and Applied Genetics. 126(1). 33–48. 35 indexed citations
9.
Reed, Barbara M., et al.. (2010). Microsatellite Markers for Raspberry and Blackberry. Journal of the American Society for Horticultural Science. 135(3). 271–278. 42 indexed citations
10.
Woodhead, M., et al.. (2010). Functional Markers for Red Raspberry. Journal of the American Society for Horticultural Science. 135(5). 418–427. 19 indexed citations
11.
McCallum, Susan, M. Woodhead, Christine A. Hackett, et al.. (2010). Genetic and environmental effects influencing fruit colour and QTL analysis in raspberry. Theoretical and Applied Genetics. 121(4). 611–627. 50 indexed citations
12.
Graham, Julie, M. Woodhead, Joanne Russell, et al.. (2009). New Insight into Wild Red Raspberry Populations using Simple Sequence Repeat Markers. Journal of the American Society for Horticultural Science. 134(1). 109–119. 10 indexed citations
13.
Kassim, Angzzas Sari Mohd, Alistair Paterson, Susan McCallum, et al.. (2009). Environmental and seasonal influences on red raspberry anthocyanin antioxidant contents and identification of quantitative traits loci (QTL). Molecular Nutrition & Food Research. 53(5). 625–634. 81 indexed citations
14.
Stewart, Derek, et al.. (2007). Metabolomic approach to identifying bioactive compounds in berries: Advances toward fruit nutritional enhancement. Molecular Nutrition & Food Research. 51(6). 645–651. 54 indexed citations
15.
Graham, Julie, et al.. (2004). The construction of a genetic linkage map of red raspberry (Rubus idaeus subsp. idaeus) based on AFLPs, genomic-SSR and EST-SSR markers. Theoretical and Applied Genetics. 109(4). 740–749. 128 indexed citations
16.
Stafne, Eric T., et al.. (2004). Simple Sequence Repeat (SSR) Markers for Raspberry and Blackberry. HortScience. 39(4). 785D–785. 1 indexed citations
17.
Graham, Julie, et al.. (2003). Agrobacterium-Mediated Transformation of Soft Fruit Rubus, Ribes, and Fragaria. Humana Press eBooks. 44. 129–134. 3 indexed citations
18.
Graham, Julie, B. Marshall, & G. R. Squire. (2003). Genetic differentiation over a spatial environmental gradient in wild Rubus ideaus populations. New Phytologist. 157(3). 667–675. 43 indexed citations
19.
Marshall, B., Richard Harrison, Julie Graham, et al.. (2001). Spatial trends of phenotypic diversity between colonies of wild raspberry Rubus idaeus. New Phytologist. 151(3). 671–682. 12 indexed citations
20.
Graham, Julie & R.J. McNicol. (1995). An examination of the ability of RAPD markers to determine the relationships within and between Rubus species. Theoretical and Applied Genetics. 90(7-8). 1128–1132. 71 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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