James R. Tucker

966 total citations
47 papers, 725 citations indexed

About

James R. Tucker is a scholar working on Plant Science, Cell Biology and Genetics. According to data from OpenAlex, James R. Tucker has authored 47 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 14 papers in Cell Biology and 13 papers in Genetics. Recurrent topics in James R. Tucker's work include Wheat and Barley Genetics and Pathology (27 papers), Mycotoxins in Agriculture and Food (18 papers) and Plant Pathogens and Fungal Diseases (14 papers). James R. Tucker is often cited by papers focused on Wheat and Barley Genetics and Pathology (27 papers), Mycotoxins in Agriculture and Food (18 papers) and Plant Pathogens and Fungal Diseases (14 papers). James R. Tucker collaborates with scholars based in Canada, United States and Tanzania. James R. Tucker's co-authors include Ana Badea, Curtis L. Fritz, W. G. Dilantha Fernando, A. Tekauz, Ashley Holt, Daniel J. Salkeld, Peng Gong, W. G. Legge, Abbot Oghenekaro and J. Adam Carter and has published in prestigious journals such as Journal of Clinical Microbiology, Emerging infectious diseases and Frontiers in Plant Science.

In The Last Decade

James R. Tucker

45 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James R. Tucker Canada 18 440 176 140 139 118 47 725
Bart van de Vossenberg Netherlands 17 458 1.0× 142 0.8× 84 0.6× 31 0.2× 75 0.6× 43 782
Bruno Gomes Brazil 16 211 0.5× 90 0.5× 132 0.9× 59 0.4× 181 1.5× 49 795
Benoît Barrès France 18 680 1.5× 291 1.7× 208 1.5× 23 0.2× 38 0.3× 34 1.0k
Zhenguo Du China 15 763 1.7× 48 0.3× 83 0.6× 16 0.1× 73 0.6× 64 1.1k
Daniela de Angeli Dutra New Zealand 12 194 0.4× 30 0.2× 29 0.2× 204 1.5× 105 0.9× 39 582
Francisco M. Ochoa‐Corona United States 18 656 1.5× 81 0.5× 24 0.2× 16 0.1× 60 0.5× 61 860
Hélène Lucas France 19 913 2.1× 23 0.1× 43 0.3× 171 1.2× 129 1.1× 30 1.2k
Simona Palermo Italy 10 511 1.2× 220 1.3× 19 0.1× 30 0.2× 43 0.4× 14 731
Frederic Bertels Germany 13 440 1.0× 138 0.8× 216 1.5× 8 0.1× 63 0.5× 25 1.0k
Daniel Gargani France 19 936 2.1× 43 0.2× 35 0.3× 31 0.2× 31 0.3× 37 1.2k

Countries citing papers authored by James R. Tucker

Since Specialization
Citations

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

Fields of papers citing papers by James R. Tucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Tucker. 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 James R. Tucker. The network helps show where James R. Tucker may publish in the future.

Co-authorship network of co-authors of James R. Tucker

This figure shows the co-authorship network connecting the top 25 collaborators of James R. Tucker. A scholar is included among the top collaborators of James R. Tucker 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 James R. Tucker. James R. Tucker 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.
Bakker, Matthew G., James R. Tucker, W. G. Dilantha Fernando, et al.. (2025). Comparison of Bacterial Endophytes in Barley Grains Infected and Non‐Infected With Fusarium Head Blight Using Metabarcoding. Plant Pathology. 74(8). 2241–2255.
2.
Bakker, Matthew G., et al.. (2024). Microbiome dynamics during malting of barley grains infested by Fusarium graminearum strains. Plant Pathology. 73(7). 1886–1900. 3 indexed citations
3.
Tucker, James R., et al.. (2024). Impacts of pathogen strain and barley cultivar on Fusarium head blight in barley and during malting. Plant Pathology. 73(7). 1874–1885. 5 indexed citations
4.
5.
6.
Tucker, James R., et al.. (2024). Genome‐wide association study of adult plant resistance to spot blotch in an elite Canadian two‐row barley germplasm collection. Plant Pathology. 73(6). 1446–1457. 2 indexed citations
7.
Waller, Lance A., et al.. (2023). A Shared Latent Process Model to Correct for Preferential Sampling in Disease Surveillance Systems. Journal of Agricultural Biological and Environmental Statistics. 28(3). 483–501. 2 indexed citations
8.
Badea, Ana, James R. Tucker, Ali S. Sabra, et al.. (2023). Endogenic Phenolic Compounds of Barley as Potential Biomarkers Related to Grain Mycotoxin Production and Cultivar Selection. Biology. 12(10). 1306–1306. 4 indexed citations
9.
Islam, Nazrul, Mitali Banik, Srinivas Sura, James R. Tucker, & Xiben Wang. (2022). Implications of Crop Rotation and Fungicide on Fusarium and Mycotoxin Spectra in Manitoba Barley, 2017–2019. Toxins. 14(7). 463–463. 8 indexed citations
10.
Tucker, James R., Anita L. Brûlé‐Babel, Colin W. Hiebert, et al.. (2022). Genetic structure and genome-wide association study of a genomic panel of two-row, spring barley (Hordeum vulgare L.) with differential reaction to Fusarium head blight (Fusarium graminearum Schwabe) and deoxynivalenol production. Canadian Journal of Plant Pathology. 44(6). 874–891. 5 indexed citations
11.
Tucker, James R., et al.. (2021). GPTransformer: A Transformer-Based Deep Learning Method for Predicting Fusarium Related Traits in Barley. Frontiers in Plant Science. 12. 761402–761402. 25 indexed citations
12.
Carter, J. Adam, et al.. (2020). Genome-Wide Analysis of Gene Expression Provides New Insights into Waterlogging Responses in Barley (Hordeum vulgare L.). Plants. 9(2). 240–240. 55 indexed citations
13.
Tucker, James R., et al.. (2018). The Deer Mouse (Peromyscus maniculatus) as an Enzootic Reservoir of Plague in California. EcoHealth. 15(3). 566–576. 8 indexed citations
14.
Legge, W. G., Ana Badea, James R. Tucker, et al.. (2017). AAC Connect barley. BioOne Complete (BioOne). 3 indexed citations
15.
Novak, Mark G., Jeannine M. Petersen, Paul S. Mead, et al.. (2016). Investigation of and Response to 2 Plague Cases, Yosemite National Park, California, USA, 2015. Emerging infectious diseases. 22(12). 19 indexed citations
16.
Tucker, James R., et al.. (2011). Avian Hosts of Ixodes pacificus (Acari: Ixodidae) and the Detection of Borrelia burgdorferi in Larvae Feeding on the Oregon Junco. Journal of Medical Entomology. 48(4). 852–859. 11 indexed citations
17.
Holt, Ashley, Daniel J. Salkeld, Curtis L. Fritz, James R. Tucker, & Peng Gong. (2009). Spatial analysis of plague in California: niche modeling predictions of the current distribution and potential response to climate change. International Journal of Health Geographics. 8(1). 38–38. 77 indexed citations
18.
Tucker, James R., et al.. (2006). An Avian Contribution to the Presence of <I>Ixodes pacificus</I> (Acari: Ixodidae) and <I>Borrelia burgdorferi</I> on the Sutter Buttes of California. Journal of Medical Entomology. 43(2). 368–374. 18 indexed citations
19.
Tucker, James R., et al.. (2006). An Avian Contribution to the Presence of Ixodes pacificus (Acari: Ixodidae) and Borrelia burgdorferi on the Sutter Buttes of California. Journal of Medical Entomology. 43(2). 368–374. 5 indexed citations
20.
Wise, I.L., James R. Tucker, & R.J. Lamb. (2000). Damage to wheat seeds caused by a plant bug, Lygus lineolaris L.. Canadian Journal of Plant Science. 80(2). 459–461. 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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