Natalie J. Graham

583 total citations
26 papers, 407 citations indexed

About

Natalie J. Graham is a scholar working on Genetics, Nature and Landscape Conservation and Molecular Biology. According to data from OpenAlex, Natalie J. Graham has authored 26 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 8 papers in Nature and Landscape Conservation and 7 papers in Molecular Biology. Recurrent topics in Natalie J. Graham's work include Genetic and phenotypic traits in livestock (11 papers), Forest ecology and management (8 papers) and Genetic diversity and population structure (8 papers). Natalie J. Graham is often cited by papers focused on Genetic and phenotypic traits in livestock (11 papers), Forest ecology and management (8 papers) and Genetic diversity and population structure (8 papers). Natalie J. Graham collaborates with scholars based in New Zealand, Australia and United States. Natalie J. Graham's co-authors include Emily Telfer, Jaroslav Klápště, Heidi S. Dungey, Phillip Wilcox, Mari Suontama, Yongjun Li, C. B. Low, Russell McKinley, Till Bärnighausen and Adrian Puren and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Natalie J. Graham

25 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie J. Graham New Zealand 13 215 132 130 67 56 26 407
Leonardo De Sousa Venezuela 12 313 1.5× 12 0.1× 59 0.5× 168 2.5× 23 0.4× 57 489
Ben J. Ward United Kingdom 9 49 0.2× 27 0.2× 152 1.2× 70 1.0× 58 1.0× 10 360
Jullie M. Sarmiento-Ramírez Spain 6 15 0.1× 173 1.3× 55 0.4× 25 0.4× 20 0.4× 6 282
David E. Alquezar‐Planas Australia 9 115 0.5× 11 0.1× 88 0.7× 183 2.7× 24 0.4× 17 320
Zhuocheng Zhou China 6 88 0.4× 68 0.5× 57 0.4× 75 1.1× 42 0.8× 10 257
Amy E. Kendig United States 8 75 0.3× 27 0.2× 115 0.9× 8 0.1× 23 0.4× 18 242
M. L. Wolcott Australia 13 508 2.4× 58 0.4× 45 0.3× 11 0.2× 4 0.1× 30 668
Wendy L. Gorman United States 10 142 0.7× 51 0.4× 55 0.4× 142 2.1× 78 1.4× 19 495
Brian Golding Canada 12 172 0.8× 14 0.1× 275 2.1× 182 2.7× 48 0.9× 24 604
Bodil N. Cass United States 10 137 0.6× 20 0.2× 145 1.1× 83 1.2× 98 1.8× 20 1.4k

Countries citing papers authored by Natalie J. Graham

Since Specialization
Citations

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

Fields of papers citing papers by Natalie J. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie J. Graham

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie J. Graham. A scholar is included among the top collaborators of Natalie J. 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 Natalie J. Graham. Natalie J. 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.
Sturrock, Shane, Tancred Frickey, Jules S. Freeman, et al.. (2025). Pinus radiata genome reveals a downward demographic trajectory and opportunities for genomics-assisted breeding. G3 Genes Genomes Genetics. 15(8). 1 indexed citations
2.
3.
Potts, BM, et al.. (2022). Genomic selection for resistance to mammalian bark stripping and associated chemical compounds in radiata pine. G3 Genes Genomes Genetics. 12(11). 5 indexed citations
4.
Freeman, Jules S., Gancho T. Slavov, Tancred Frickey, et al.. (2022). High density linkage maps, genetic architecture, and genomic prediction of growth and wood properties in Pinus radiata. BMC Genomics. 23(1). 731–731. 4 indexed citations
5.
Klápště, Jaroslav, Emily Telfer, Heidi S. Dungey, & Natalie J. Graham. (2022). Chasing genetic correlation breakers to stimulate population resilience to climate change. Scientific Reports. 12(1). 8238–8238. 3 indexed citations
6.
Graham, Natalie J., Emily Telfer, Tancred Frickey, et al.. (2022). Development and Validation of a 36K SNP Array for Radiata Pine (Pinus radiata D.Don). Forests. 13(2). 176–176. 12 indexed citations
7.
Klápště, Jaroslav, Emily Telfer, Natalie J. Graham, et al.. (2021). The Use of “Genotyping-by-Sequencing” to Recover Shared Genealogy in Genetically Diverse Eucalyptus Populations. Forests. 12(7). 904–904. 4 indexed citations
8.
Suontama, Mari, et al.. (2020). Indication of Quantitative Multiple Disease Resistance to Foliar Pathogens in Pinus radiata D.Don in New Zealand. Frontiers in Plant Science. 11. 1044–1044. 6 indexed citations
9.
Klápště, Jaroslav, Heidi S. Dungey, Natalie J. Graham, & Emily Telfer. (2020). Effect of trait’s expression level on single-step genomic evaluation of resistance to Dothistroma needle blight. BMC Plant Biology. 20(1). 205–205. 11 indexed citations
10.
Klápště, Jaroslav, Heidi S. Dungey, Emily Telfer, et al.. (2020). Marker Selection in Multivariate Genomic Prediction Improves Accuracy of Low Heritability Traits. Frontiers in Genetics. 11. 499094–499094. 25 indexed citations
11.
Li, Yongjun, Jaroslav Klápště, Emily Telfer, et al.. (2019). Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information. BMC Genomics. 20(1). 1026–1026. 28 indexed citations
12.
Telfer, Emily, Natalie J. Graham, Yongjun Li, et al.. (2019). A high-density exome capture genotype-by-sequencing panel for forestry breeding in Pinus radiata. PLoS ONE. 14(9). e0222640–e0222640. 29 indexed citations
13.
Telfer, Emily, et al.. (2018). Approaches to variant discovery for conifer transcriptome sequencing. PLoS ONE. 13(11). e0205835–e0205835. 19 indexed citations
14.
Suontama, Mari, Jaroslav Klápště, Emily Telfer, et al.. (2018). Efficiency of genomic prediction across two Eucalyptus nitens seed orchards with different selection histories. Heredity. 122(3). 370–379. 35 indexed citations
15.
Klápště, Jaroslav, Mari Suontama, Emily Telfer, et al.. (2017). Exploration of genetic architecture through sib-ship reconstruction in advanced breeding population of Eucalyptus nitens. PLoS ONE. 12(9). e0185137–e0185137. 32 indexed citations
16.
Hlela, Carol, Natalie J. Graham, Ahmed Iqbal Bhigjee, et al.. (2013). Human T cell lymphotropic virus type 1- associated infective dermatitis in KwaZulu Natal, South Africa. BMC Dermatology. 13(1). 11–11. 8 indexed citations
17.
Telfer, Emily, et al.. (2013). Extraction of high purity genomic DNA from pine for use in a high-throughput Genotyping Platform. New Zealand journal of forestry science. 43(1). 3–3. 29 indexed citations
18.
Graham, Natalie J. & Pat Crawford. (2012). Instructor-Led Engagement and Immersion Programs: Transformative Experiences of Study Abroad. Journal of higher education outreach & engagement. 16(3). 107–110. 9 indexed citations
19.
Bärnighausen, Till, Claudia Wallrauch, Alex Welte, et al.. (2008). HIV Incidence in Rural South Africa: Comparison of Estimates from Longitudinal Surveillance and Cross-Sectional cBED Assay Testing. PLoS ONE. 3(11). e3640–e3640. 63 indexed citations
20.
Greenspoon, Susan A., et al.. (2006). Automated PCR setup for forensic casework samples using the Normalization Wizard and PCR Setup robotic methods. Forensic Science International. 164(2-3). 240–248. 17 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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