Sally Vail

725 total citations
38 papers, 470 citations indexed

About

Sally Vail is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Sally Vail has authored 38 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 11 papers in Molecular Biology and 9 papers in Ecology. Recurrent topics in Sally Vail's work include Genetic and Environmental Crop Studies (9 papers), Remote Sensing in Agriculture (8 papers) and Nitrogen and Sulfur Effects on Brassica (8 papers). Sally Vail is often cited by papers focused on Genetic and Environmental Crop Studies (9 papers), Remote Sensing in Agriculture (8 papers) and Nitrogen and Sulfur Effects on Brassica (8 papers). Sally Vail collaborates with scholars based in Canada, China and United States. Sally Vail's co-authors include Sabine Banniza, Albert Vandenberg, A. Tullu, Steven J. Shirtliffe, Isobel A. P. Parkin, Kirstin E. Bett, Hema Duddu, Melissa Arcand, Katerina Theodoridou and Bobbi L. Helgason and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Soil Biology and Biochemistry.

In The Last Decade

Sally Vail

37 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sally Vail Canada 15 364 96 58 52 38 38 470
John D. Byrd United States 15 318 0.9× 96 1.0× 41 0.7× 68 1.3× 17 0.4× 35 457
Susanne Tittmann Germany 10 411 1.1× 135 1.4× 83 1.4× 20 0.4× 29 0.8× 17 475
Mitchell J. L. Morton Saudi Arabia 9 454 1.2× 101 1.1× 136 2.3× 19 0.4× 44 1.2× 10 576
Andreas Fischbach Germany 7 558 1.5× 153 1.6× 98 1.7× 16 0.3× 58 1.5× 8 615
Pieter Badenhorst Australia 14 362 1.0× 130 1.4× 154 2.7× 28 0.5× 65 1.7× 24 560
Ea Høegh Riis Sundmark Denmark 5 412 1.1× 65 0.7× 87 1.5× 33 0.6× 16 0.4× 6 537
Frank Gilmer Germany 7 718 2.0× 189 2.0× 181 3.1× 37 0.7× 56 1.5× 8 822
Hema Duddu Canada 12 233 0.6× 127 1.3× 27 0.5× 18 0.3× 59 1.6× 29 318
Jesper Cairo Westergaard Denmark 8 269 0.7× 59 0.6× 49 0.8× 17 0.3× 15 0.4× 13 329
Ming‐Hsin Lai Taiwan 13 295 0.8× 64 0.7× 83 1.4× 11 0.2× 31 0.8× 23 354

Countries citing papers authored by Sally Vail

Since Specialization
Citations

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

Fields of papers citing papers by Sally Vail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sally Vail

This figure shows the co-authorship network connecting the top 25 collaborators of Sally Vail. A scholar is included among the top collaborators of Sally Vail 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 Sally Vail. Sally Vail 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.
Perumal, Sampath, Erin E. Higgins, Yogendra Khedikar, et al.. (2025). Harnessing genomic prediction in Brassica napus through a nested association mapping population. The Plant Genome. 18(4). e70123–e70123.
2.
Ashe, Paula, Jarvis Stobbs, James J. Dynes, et al.. (2025). Applications of synchrotron light in seed research: an array of x-ray and infrared imaging methodologies. Frontiers in Plant Science. 15. 1395952–1395952. 5 indexed citations
3.
4.
Li, Yunliang, Sally Vail, Melissa Arcand, & Bobbi L. Helgason. (2023). Contrasting Nitrogen Fertilization andBrassica napus(Canola) Variety Development Impact Recruitment of the Root-Associated Microbiome. Phytobiomes Journal. 7(1). 125–137. 7 indexed citations
5.
Li, Yunliang, et al.. (2023). Root and rhizosphere fungi associated with the yield of diverse Brassica napus genotypes. Rhizosphere. 25. 100677–100677. 8 indexed citations
6.
Ebersbach, Jana, Ian McQuillan, Erin E. Higgins, et al.. (2022). Exploiting High-Throughput Indoor Phenotyping to Characterize the Founders of a Structured B. napus Breeding Population. Frontiers in Plant Science. 12. 780250–780250. 8 indexed citations
7.
Badhon, Minhajul Arifin, Hema Duddu, Steven J. Shirtliffe, et al.. (2021). Automatic Microplot Localization Using UAV Images and a Hierarchical Image-Based Optimization Method. Plant Phenomics. 2021. 9764514–9764514. 1 indexed citations
8.
Williams, Shanay, Sally Vail, & Melissa Arcand. (2021). Nitrogen Use Efficiency in Parent vs. Hybrid Canola under Varying Nitrogen Availabilities. Plants. 10(11). 2364–2364. 16 indexed citations
9.
Vail, Sally, Hema Duddu, Isobel A. P. Parkin, et al.. (2021). Phenotyping Flowering in Canola (Brassica napus L.) and Estimating Seed Yield Using an Unmanned Aerial Vehicle-Based Imagery. Frontiers in Plant Science. 12. 686332–686332. 24 indexed citations
10.
Wahid, Khan A., et al.. (2020). SoilCam: A Fully Automated Minirhizotron using Multispectral Imaging for Root Activity Monitoring. Sensors. 20(3). 787–787. 18 indexed citations
11.
Soolanayakanahally, Raju, et al.. (2020). Low-Cost Multispectral Sensor Array for Determining Leaf Nitrogen Status. Nitrogen. 1(1). 67–80. 7 indexed citations
12.
Mamet, Steven D., Shanay Williams, Charlotte E. Norris, et al.. (2020). An intensive multilocation temporal dataset of fungal and bacterial communities in the root and rhizosphere of Brassica napus. SHILAP Revista de lepidopterología. 31. 106143–106143. 4 indexed citations
13.
Mamet, Steven D., Shanay Williams, Melissa Arcand, et al.. (2020). An intensive multilocation temporal dataset of fungal communities in the root and rhizosphere of Brassica napus. SHILAP Revista de lepidopterología. 30. 105467–105467. 4 indexed citations
14.
Helgason, Bobbi L., Charlotte E. Norris, Sally Vail, et al.. (2020). Core and Differentially Abundant Bacterial Taxa in the Rhizosphere of Field Grown Brassica napus Genotypes: Implications for Canola Breeding. Frontiers in Microbiology. 10. 3007–3007. 44 indexed citations
15.
Stanley, Kevin G., et al.. (2019). KL-Divergence as a Proxy for Plant Growth. 6. 120–126. 1 indexed citations
16.
17.
Tullu, A., Kirstin E. Bett, Sabine Banniza, Sally Vail, & Albert Vandenberg. (2013). Widening the genetic base of cultivated lentil through hybridization of Lens culinaris ‘Eston’ and L. ervoides accession IG 72815. Canadian Journal of Plant Science. 93(6). 1037–1047. 18 indexed citations
18.
Theodoridou, Katerina, Sally Vail, & Peiqiang Yu. (2013). Explore protein molecular structure in endosperm tissues in newly developed black and yellow type canola seeds by using synchrotron-based Fourier transform infrared microspectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 120. 421–427. 23 indexed citations
19.
Vail, Sally & Albert Vandenberg. (2012). The Effect of Plant Age on Resistance to Colletotrichum truncatum in Lens culinaris. Plant Disease. 96(8). 1118–1122. 2 indexed citations
20.

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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