Justin Preece

3.0k total citations
14 papers, 386 citations indexed

About

Justin Preece is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Justin Preece has authored 14 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Genetics. Recurrent topics in Justin Preece's work include Genomics and Phylogenetic Studies (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). Justin Preece is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). Justin Preece collaborates with scholars based in United States, United Kingdom and India. Justin Preece's co-authors include Pankaj Jaiswal, Justin Elser, Laurel Cooper, Chris Mungall, Dennis Wm. Stevenson, Barry Smith, Siniša Todorović, Sushma Naithani, Ramona Walls and John H. Doonan and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The Plant Journal.

In The Last Decade

Justin Preece

14 papers receiving 374 citations

Peers

Justin Preece
Laurel Cooper United States
Katica Ilic United States
Daniel Arend Germany
Chen Sun China
Gavin Kennedy Australia
Laurel Cooper United States
Justin Preece
Citations per year, relative to Justin Preece Justin Preece (= 1×) peers Laurel Cooper

Countries citing papers authored by Justin Preece

Since Specialization
Citations

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

Fields of papers citing papers by Justin Preece

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Preece

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

All Works

14 of 14 papers shown
1.
Gupta, Parul, Matthew Geniza, Justin Elser, et al.. (2023). Reference genome of the nutrition-rich orphan crop chia (Salvia hispanica) and its implications for future breeding. Frontiers in Plant Science. 14. 1272966–1272966. 8 indexed citations
2.
Gupta, Parul, Sushma Naithani, Justin Preece, et al.. (2022). Plant Reactome and PubChem: The Plant Pathway and (Bio)Chemical Entity Knowledgebases. Methods in molecular biology. 2443. 511–525. 8 indexed citations
3.
Sullivan, Christopher M., et al.. (2021). A cost‐effective maize ear phenotyping platform enables rapid categorization and quantification of kernels. The Plant Journal. 106(2). 566–579. 26 indexed citations
4.
Naithani, Sushma, Parul Gupta, Justin Preece, et al.. (2018). Involving community in genes and pathway curation. Database. 2019. 8 indexed citations
5.
Cooper, Laurel, Marie‐Angélique Laporte, Justin Elser, et al.. (2017). The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics. Nucleic Acids Research. 46(D1). D1168–D1180. 114 indexed citations
6.
Naithani, Sushma, Justin Preece, Peter D’Eustachio, et al.. (2016). Plant Reactome: a resource for plant pathways and comparative analysis. Nucleic Acids Research. 45(D1). D1029–D1039. 41 indexed citations
7.
Jaiswal, Pankaj, Laurel Cooper, Justin Elser, et al.. (2016). Planteome: A resource for Common Reference Ontologies and Applications for Plant Biology. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 2 indexed citations
8.
Cooper, Laurel, Justin Elser, Justin Preece, et al.. (2016). The Planteome project. University of Birmingham Research Portal (University of Birmingham). 1 indexed citations
9.
Preece, Justin, et al.. (2014). AISO: Annotation of Image Segments with Ontologies. Journal of Biomedical Semantics. 5(1). 50–50. 11 indexed citations
10.
Fox, Samuel E., Matthew Geniza, Sushma Naithani, et al.. (2014). De Novo Transcriptome Assembly and Analyses of Gene Expression during Photomorphogenesis in Diploid Wheat Triticum monococcum. PLoS ONE. 9(5). e96855–e96855. 46 indexed citations
12.
Fox, Samuel E., Justin Preece, Jeffrey A. Kimbrel, et al.. (2013). Sequencing and de novo transcriptome assembly of Brachypodium sylvaticum (Poaceae). Applications in Plant Sciences. 1(3). 24 indexed citations
13.
Walls, Ramona, Laurel Cooper, Justin Elser, et al.. (2012). Ontologies as integrative tools for plant science. American Journal of Botany. 99(8). 1263–1275. 68 indexed citations
14.
Smita, Shuchi, Sangram K. Lenka, Amit Katiyar, et al.. (2011). QlicRice: a web interface for abiotic stress responsive QTL and loci interaction channels in rice. Database. 2011. bar037–bar037. 16 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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