Matthew Geniza

1.1k total citations
12 papers, 178 citations indexed

About

Matthew Geniza is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Matthew Geniza has authored 12 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Matthew Geniza's work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Plant Disease Resistance and Genetics (3 papers) and Genomics and Phylogenetic Studies (3 papers). Matthew Geniza is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (4 papers), Plant Disease Resistance and Genetics (3 papers) and Genomics and Phylogenetic Studies (3 papers). Matthew Geniza collaborates with scholars based in United States, Germany and United Kingdom. Matthew Geniza's co-authors include Pankaj Jaiswal, Sushma Naithani, Justin Preece, Justin Elser, Paul Kersey, Tyler S. Radniecki, Jeremy Phillips, Cläre von Neubeck, Christine Kelly and Cathy Gresham and has published in prestigious journals such as PLoS ONE, Emerging infectious diseases and Frontiers in Plant Science.

In The Last Decade

Matthew Geniza

12 papers receiving 174 citations

Peers

Matthew Geniza

GENET

Zijie Shen China

Monica I. Espinosa Australia

Amanda Ooi Saudi Arabia

Joshua G. Philips Australia

J. Mailliot France

Lorenza Sannino Italy

Sara Selma Spain

Zhong Zhuang China

Maurizio La Mura United Kingdom

Zijie Shen China

Matthew Geniza

217 ×2.5

197 ×2.7

20 ×0.7

19 ×0.7

16 ×0.6

GENET

Citations per year, relative to Matthew Geniza Matthew Geniza (= 1×) peers Zijie Shen

Countries citing papers authored by Matthew Geniza

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Geniza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Geniza

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

All Works

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12 of 12 papers shown

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

Al-Bader, Noor, et al.. (2023). Loss of a Premature Stop Codon in the Rice Wall-Associated Kinase 91 (WAK91) Gene Is a Candidate for Improving Leaf Sheath Blight Disease Resistance. Genes. 14(9). 1673–1673. 5 indexed citations

Kaya, Devrim, et al.. (2022). Correlation between Clinical and Wastewater SARS-CoV-2 Genomic Surveillance, Oregon, USA. Emerging infectious diseases. 28(9). 1906–1908. 8 indexed citations

Radniecki, Tyler S., Devrim Kaya, Matthew Geniza, et al.. (2022). Detection of SARS-CoV-2 B.1.351 (Beta) Variant through Wastewater Surveillance before Case Detection in a Community, Oregon, USA. Emerging infectious diseases. 28(6). 1101–1109. 22 indexed citations

Gupta, Parul, et al.. (2021). Chia (Salvia hispanica) Gene Expression Atlas Elucidates Dynamic Spatio-Temporal Changes Associated With Plant Growth and Development. Frontiers in Plant Science. 12. 667678–667678. 13 indexed citations

Rhodes, Adelaide, Brent A. Kronmiller, Edward W. Davis, et al.. (2020). Pan-tissue transcriptome analysis of long noncoding RNAs in the American beaver Castor canadensis. BMC Genomics. 21(1). 153–153. 2 indexed citations

Geniza, Matthew & Pankaj Jaiswal. (2017). Tools for building de novo transcriptome assembly. Current Plant Biology. 11-12. 41–45. 32 indexed citations

Naithani, Sushma, Matthew Geniza, & Pankaj Jaiswal. (2016). Variant Effect Prediction Analysis Using Resources Available at Gramene Database. Methods in molecular biology. 1533. 279–297. 10 indexed citations

Neubeck, Cläre von, et al.. (2015). The effect of low dose ionizing radiation on homeostasis and functional integrity in an organotypic human skin model. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 775. 10–18. 11 indexed citations

10.

Wise, Mitchell L., Alfonso Cuesta‐Marcos, Matthew Geniza, et al.. (2015). Quantitative Trait Loci Associated with the Tocochromanol (Vitamin E) Pathway in Barley. PLoS ONE. 10(7). e0133767–e0133767. 16 indexed citations

11.

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.

Neubeck, Cläre von, Harish Shankaran, Matthew Geniza, et al.. (2013). Integrated experimental and computational approach to understand the effects of heavy ion radiation on skin homeostasis. Integrative Biology. 5(10). 1229–1243. 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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