John P. Hamilton

12.3k total citations · 3 hit papers
84 papers, 5.7k citations indexed

About

John P. Hamilton is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, John P. Hamilton has authored 84 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Plant Science, 37 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in John P. Hamilton's work include Plant Disease Resistance and Genetics (22 papers), Plant Pathogens and Resistance (22 papers) and Genomics and Phylogenetic Studies (19 papers). John P. Hamilton is often cited by papers focused on Plant Disease Resistance and Genetics (22 papers), Plant Pathogens and Resistance (22 papers) and Genomics and Phylogenetic Studies (19 papers). John P. Hamilton collaborates with scholars based in United States, United Kingdom and Canada. John P. Hamilton's co-authors include C. Robin Buell, Brieanne Vaillancourt, Brian J. Haas, Kevin L. Childs, Matthew A. Campbell, Haining Lin, Joshua C. Wood, Jennifer R. Wortman, David S. Douches and Françoise Thibaud‐Nissen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

John P. Hamilton

79 papers receiving 5.6k citations

Hit Papers

The TIGR Rice Genome Annotation Resource: improvements an... 2006 2026 2012 2019 2006 2020 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John P. Hamilton United States 40 4.1k 3.0k 812 527 411 84 5.7k
Kevin L. Childs United States 37 4.0k 1.0× 3.1k 1.1× 1.1k 1.4× 178 0.3× 187 0.5× 85 5.8k
Vidya S. Gupta India 44 4.6k 1.1× 3.4k 1.1× 1.3k 1.5× 352 0.7× 359 0.9× 218 6.9k
Brieanne Vaillancourt United States 29 2.4k 0.6× 1.8k 0.6× 852 1.0× 320 0.6× 129 0.3× 55 3.5k
Pierre Broun United States 24 5.2k 1.3× 4.5k 1.5× 629 0.8× 253 0.5× 203 0.5× 31 6.9k
Panagiotis Madesis Greece 32 2.0k 0.5× 1.8k 0.6× 421 0.5× 409 0.8× 283 0.7× 186 3.5k
Anne Frary Türkiye 31 4.7k 1.1× 2.1k 0.7× 1.2k 1.5× 305 0.6× 308 0.7× 98 5.7k
Yuepeng Han China 40 3.5k 0.9× 3.4k 1.1× 403 0.5× 292 0.6× 230 0.6× 145 5.2k
Sanwen Huang China 56 7.4k 1.8× 4.8k 1.6× 2.5k 3.1× 792 1.5× 434 1.1× 162 9.8k
Linchun Shi China 27 1.3k 0.3× 3.1k 1.1× 700 0.9× 380 0.7× 447 1.1× 78 4.5k

Countries citing papers authored by John P. Hamilton

Since Specialization
Citations

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

Fields of papers citing papers by John P. Hamilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Hamilton. 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 John P. Hamilton. The network helps show where John P. Hamilton may publish in the future.

Co-authorship network of co-authors of John P. Hamilton

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Hamilton. A scholar is included among the top collaborators of John P. Hamilton 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 John P. Hamilton. John P. Hamilton 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.
Xin, Haoyang, John P. Hamilton, Chao Fang, et al.. (2025). Jan and mini‐Jan, a model system for potato functional genomics. Plant Biotechnology Journal. 23(4). 1243–1256. 1 indexed citations
2.
Wood, Joshua C., et al.. (2025). An allelic resolution gene atlas for tetraploid potato provides insights into tuberization and stress resilience. The Plant Journal. 124(3). e70557–e70557.
3.
Childs, Kevin L., Kenneth V. Pecota, G. Craig Yencho, et al.. (2025). A Reference-Quality NLRome for the Hexaploid Sweetpotato and Diploid Wild Relatives. Molecular Plant-Microbe Interactions. 38(6). 978–992.
4.
Colinas, Maite, Joshua C. Wood, Anja David, et al.. (2025). Discovery of iridoid cyclase completes the iridoid pathway in asterids. Nature Plants. 11(11). 2204–2216.
5.
Hamilton, John P., Dongyan Zhao, Brieanne Vaillancourt, et al.. (2024). Chromosome‐scale Salvia hispanica L. (Chia) genome assembly reveals rampant Salvia interspecies introgression. The Plant Genome. 17(3). e20494–e20494. 1 indexed citations
6.
Hamilton, John P., et al.. (2024). The physiological and molecular responses of potato tuberization to projected future elevated temperatures. PLANT PHYSIOLOGY. 197(1). 3 indexed citations
8.
Hamilton, John P., Brieanne Vaillancourt, Joshua C. Wood, et al.. (2023). Chromosome-scale genome assembly of the ‘Munstead’ cultivar of Lavandula angustifolia. BMC Genomic Data. 24(1). 75–75. 7 indexed citations
9.
Lau, Kin H., John P. Hamilton, Brieanne Vaillancourt, et al.. (2023). Uncovering a miltiradiene biosynthetic gene cluster in the Lamiaceae reveals a dynamic evolutionary trajectory. Nature Communications. 14(1). 343–343. 27 indexed citations
10.
Kitavi, Mercy, Dorcus C. Gemenet, Joshua C. Wood, et al.. (2023). Identification of genes associated with abiotic stress tolerance in sweetpotato using weighted gene co‐expression network analysis. Plant Direct. 7(10). e532–e532. 3 indexed citations
12.
Hamilton, John P., Brieanne Vaillancourt, Joshua C. Wood, & C. Robin Buell. (2023). Chromosome-scale assembly of the Verbenaceae species Queen’s Wreath (Petrea volubilis L.). BMC Genomic Data. 24(1). 14–14. 3 indexed citations
13.
Li, Xiaowei, R. Tanaka, Joshua C. Wood, et al.. (2022). Combining GWAS and TWAS to identify candidate causal genes for tocochromanol levels in maize grain. Genetics. 221(4). 24 indexed citations
14.
Tanaka, R., Xiaowei Li, Laura E. Tibbs‐Cortes, et al.. (2022). Leveraging prior biological knowledge improves prediction of tocochromanols in maize grain. The Plant Genome. 16(4). e20276–e20276. 2 indexed citations
15.
Tanaka, R., Joshua C. Wood, Nicholas Kaczmar, et al.. (2022). Transcriptome‐wide association and prediction for carotenoids and tocochromanols in fresh sweet corn kernels. The Plant Genome. 15(2). e20197–e20197. 13 indexed citations
16.
Baseggio, Matheus, Nicholas Kaczmar, John P. Hamilton, et al.. (2021). Genome-wide association study suggests an independent genetic basis of zinc and cadmium concentrations in fresh sweet corn kernels. G3 Genes Genomes Genetics. 11(8). 12 indexed citations
17.
Leisner, Courtney P., John P. Hamilton, Emily Crisovan, et al.. (2018). Genome sequence of M6, a diploid inbred clone of the high‐glycoalkaloid‐producing tuber‐bearing potato species Solanum chacoense, reveals residual heterozygosity. The Plant Journal. 94(3). 562–570. 95 indexed citations
18.
Diepenbrock, Christine, Catherine B. Kandianis, Alexander E. Lipka, et al.. (2017). Novel Loci Underlie Natural Variation in Vitamin E Levels in Maize Grain. The Plant Cell. 29(10). 2374–2392. 83 indexed citations
19.
Hamilton, John P., et al.. (2015). Generating first time visiting consumer website traffic: a live case study. ResearchOnline at James Cook University (James Cook University). 88. 1 indexed citations
20.
Thibaud‐Nissen, Françoise, Matthew A. Campbell, John P. Hamilton, Wei Zhu, & C. Robin Buell. (2007). EuCAP, a Eukaryotic Community Annotation Package, and its application to the rice genome. BMC Genomics. 8(1). 388–388. 5 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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