Linda Garlant

451 total citations
9 papers, 138 citations indexed

About

Linda Garlant is a scholar working on Molecular Biology, Plant Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Linda Garlant has authored 9 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Linda Garlant's work include Plant Pathogenic Bacteria Studies (3 papers), Plant-Microbe Interactions and Immunity (3 papers) and Identification and Quantification in Food (3 papers). Linda Garlant is often cited by papers focused on Plant Pathogenic Bacteria Studies (3 papers), Plant-Microbe Interactions and Immunity (3 papers) and Identification and Quantification in Food (3 papers). Linda Garlant collaborates with scholars based in Belgium, Italy and Finland. Linda Garlant's co-authors include Minna Pirhonen, Asko Hannukkala, Jaana Laurila, Johanna Nykyri, Valérie Hélias, Nancy H. C. Roosens, Sylvia Broeders, Leo Rouhiainen, Lars Paulín and Pia Laine and has published in prestigious journals such as BMC Bioinformatics, Food Control and International Journal of Infectious Diseases.

In The Last Decade

Linda Garlant

9 papers receiving 132 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linda Garlant Belgium 5 94 36 22 18 13 9 138
Osvaldo Reis Brazil 8 162 1.7× 34 0.9× 11 0.5× 104 5.8× 15 1.2× 10 261
Alejandra Muñoz‐Bodnar United States 8 209 2.2× 11 0.3× 8 0.4× 48 2.7× 4 0.3× 15 239
Wen-Bin Guo China 5 65 0.7× 15 0.4× 25 1.1× 35 1.9× 2 0.2× 5 113
Satish Kumar Sain India 10 204 2.2× 40 1.1× 5 0.2× 84 4.7× 4 0.3× 44 275
Zhenli Yan China 6 153 1.6× 13 0.4× 10 0.5× 179 9.9× 20 1.5× 13 245
Natalia Mielnichuk Argentina 8 118 1.3× 57 1.6× 8 0.4× 117 6.5× 12 0.9× 11 180
Kerry Boyle Canada 10 139 1.5× 61 1.7× 5 0.2× 35 1.9× 6 0.5× 18 174
Rachel M. Schneider United States 3 19 0.2× 21 0.6× 29 1.3× 30 1.7× 5 0.4× 3 74
Oliane Maria Correia Magalhães Brazil 10 88 0.9× 109 3.0× 43 2.0× 45 2.5× 6 0.5× 27 219
Tarek Alouane Morocco 6 67 0.7× 53 1.5× 8 0.4× 34 1.9× 14 134

Countries citing papers authored by Linda Garlant

Since Specialization
Citations

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

Fields of papers citing papers by Linda Garlant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Garlant

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

All Works

9 of 9 papers shown
1.
Ghidotti, Michele, Marc Behr, Danilo Pietretti, et al.. (2025). High rate of safety and fraud issues in commercially available cinnamon. npj Science of Food. 9(1). 125–125. 1 indexed citations
2.
Behr, Marc, Linda Garlant, Danilo Pietretti, et al.. (2024). A robust set of qPCR methods to evaluate adulteration in major spices and herbs. Food Control. 165. 110623–110623. 5 indexed citations
3.
Lievens, Antoon, Valentina Paracchini, Linda Garlant, et al.. (2023). Detection and Quantification of Botanical Impurities in Commercial Oregano (Origanum vulgare) Using Metabarcoding and Digital PCR. Foods. 12(16). 2998–2998. 3 indexed citations
4.
Lievens, Antoon, Valentina Paracchini, Danilo Pietretti, et al.. (2021). DNA Accounting: Tallying Genomes to Detect Adulterated Saffron. Foods. 10(11). 2670–2670. 3 indexed citations
5.
Broeders, Sylvia, Linda Garlant, Marie‐Alice Fraiture, et al.. (2019). A new multiplex RT-qPCR method for the simultaneous detection and discrimination of Zika and chikungunya viruses. International Journal of Infectious Diseases. 92. 160–170. 9 indexed citations
6.
Vanneste, Kevin, Linda Garlant, Sylvia Broeders, Steven Van Gucht, & Nancy H. C. Roosens. (2018). Application of whole genome data for in silico evaluation of primers and probes routinely employed for the detection of viral species by RT-qPCR using dengue virus as a case study. BMC Bioinformatics. 19(1). 312–312. 20 indexed citations
7.
Garlant, Linda. (2015). Ecology and genomics of Dickeya solani, a new soft rot bacterium infecting potatoes. Työväentutkimus Vuosikirja. 2 indexed citations
9.
Laurila, Jaana, Asko Hannukkala, Johanna Nykyri, et al.. (2009). Symptoms and yield reduction caused by Dickeya spp. strains isolated from potato and river water in Finland. European Journal of Plant Pathology. 126(2). 249–262. 64 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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