Geert De Meyer

3.4k total citations
29 papers, 2.4k citations indexed

About

Geert De Meyer is a scholar working on Plant Science, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Geert De Meyer has authored 29 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 6 papers in Physiology and 5 papers in Psychiatry and Mental health. Recurrent topics in Geert De Meyer's work include Alzheimer's disease research and treatments (6 papers), Plant-Microbe Interactions and Immunity (6 papers) and Genetics and Plant Breeding (5 papers). Geert De Meyer is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Plant-Microbe Interactions and Immunity (6 papers) and Genetics and Plant Breeding (5 papers). Geert De Meyer collaborates with scholars based in Belgium, United States and United Kingdom. Geert De Meyer's co-authors include Monica Höfte, Kris Audenaert, Yigal Elad, Joseph Bigirimana, Hugo Vanderstichele, Kaj Blennow, Eugeen Vanmechelen, Niels Andreasen, Annika Olsson and Anders Wallin and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and Genetics.

In The Last Decade

Geert De Meyer

28 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geert De Meyer Belgium 17 1.3k 652 493 446 259 29 2.4k
Donald A. Bruun United States 27 733 0.6× 109 0.2× 138 0.3× 756 1.7× 141 0.5× 61 2.1k
Jing Shi China 33 449 0.4× 433 0.7× 66 0.1× 1.3k 3.0× 97 0.4× 101 2.7k
Suchitra Joshi United States 24 460 0.4× 103 0.2× 436 0.9× 722 1.6× 110 0.4× 52 1.8k
Ping Deng United States 28 125 0.1× 299 0.5× 78 0.2× 1.0k 2.2× 102 0.4× 80 2.1k
Takeo Saito Japan 23 370 0.3× 116 0.2× 98 0.2× 613 1.4× 86 0.3× 129 1.8k
Jérôme Vialaret France 22 402 0.3× 393 0.6× 116 0.2× 647 1.5× 46 0.2× 75 1.7k
Makoto Kadowaki Japan 30 304 0.2× 423 0.6× 56 0.1× 717 1.6× 53 0.2× 109 2.5k
Daniel Ortuño‐Sahagún Mexico 23 285 0.2× 341 0.5× 34 0.1× 627 1.4× 55 0.2× 83 1.8k
Biwen Peng China 27 160 0.1× 288 0.4× 141 0.3× 1.1k 2.4× 78 0.3× 95 2.4k
Michela Codini Italy 23 86 0.1× 518 0.8× 616 1.2× 499 1.1× 70 0.3× 89 2.0k

Countries citing papers authored by Geert De Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Geert De Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geert De Meyer. 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 Geert De Meyer. The network helps show where Geert De Meyer may publish in the future.

Co-authorship network of co-authors of Geert De Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Geert De Meyer. A scholar is included among the top collaborators of Geert De Meyer 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 Geert De Meyer. Geert De Meyer 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.
Albergante, Luca, et al.. (2025). Artificial intelligence is beginning to create value for selected small animal veterinary applications while remaining immature for others. Journal of the American Veterinary Medical Association. 263(3). 388–394. 3 indexed citations
2.
Meyer, Geert De, et al.. (2022). Development and initial validation of a dog quality of life instrument. Scientific Reports. 12(1). 12225–12225. 8 indexed citations
3.
Chew, Dennis J., et al.. (2022). An early prediction model for canine chronic kidney disease based on routine clinical laboratory tests. Scientific Reports. 12(1). 14489–14489. 10 indexed citations
4.
Tagkopoulos, Ilias, Minseung Kim, James Kennedy, et al.. (2019). Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning. Journal of Veterinary Internal Medicine. 33(6). 2644–2656. 37 indexed citations
5.
Fack, Veerle, et al.. (2017). Moving Beyond Managing Realized Genomic Relationship in Long-Term Genomic Selection. Genetics. 206(2). 1127–1138. 48 indexed citations
6.
Pérez‐Rodríguez, Paulino, et al.. (2015). A Pedigree‐Based Reaction Norm Model for Prediction of Cotton Yield in Multienvironment Trials. Crop Science. 55(3). 1143–1151. 51 indexed citations
7.
Meyer, Geert De, et al.. (2015). Heuristic exploitation of genetic structure in marker-assisted gene pyramiding problems. BMC Genetics. 16(1). 2–2. 8 indexed citations
8.
Meyer, Geert De. (2010). Diagnosis-Independent Alzheimer Disease Biomarker Signature in Cognitively Normal Elderly People. Archives of Neurology. 67(8). 949–949. 327 indexed citations
9.
Hazewinkel, Herman A.W., et al.. (2010). The effect of weight loss on lameness in obese dogs with osteoarthritis. Veterinary Research Communications. 34(3). 241–253. 92 indexed citations
10.
Lachno, D. Richard, Hugo Vanderstichele, G. De Groote, et al.. (2009). The influence of matrix type, diurnal rhythm and sample collection and processing on the measurement of plasma β-amyloid isoforms using the INNO-BIA plasma Aβ forms multiplex assay. The journal of nutrition health & aging. 13(3). 220–225. 24 indexed citations
11.
Blennow, Kaj, Geert De Meyer, Oskar Hansson, et al.. (2009). Evolution of Aβ42 and Aβ40 levels and Aβ42/Aβ40 ratio in plasma during progression of Alzheimer's disease: A multicenter assessment. The journal of nutrition health & aging. 13(3). 205–208. 40 indexed citations
12.
Vanderstichele, Hugo, Geert De Meyer, F.L. Shapiro, et al.. (2008). Alzheimer’s disease biomarkers: from concept to clinical utility. 81–122. 23 indexed citations
13.
Mennes, Maarten, Peter Stiers, Erik Vandenbussche, et al.. (2004). Attention and information processing in survivors of childhood acute lymphoblastic leukemia treated with chemotherapy only. Pediatric Blood & Cancer. 44(5). 479–486. 75 indexed citations
14.
Höfte, Monica, et al.. (2000). Induced systemic resistance in tomato, tobacco and bean by Pseudomonas aeruginosa 7NSK2: bacterial determinants, signal transduction pathways and role of host resistance. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
15.
Meyer, Geert De, et al.. (1999). Pathways involved in control of Botrytis cinerea via induced resistance. Ghent University Academic Bibliography (Ghent University). 64. 477–488. 2 indexed citations
16.
Meyer, Geert De, et al.. (1999). Nanogram Amounts of Salicylic Acid Produced by the RhizobacteriumPseudomonas aeruginosa7NSK2 Activate the Systemic Acquired Resistance Pathway in Bean. Molecular Plant-Microbe Interactions. 12(5). 450–458. 164 indexed citations
17.
Meyer, Geert De & Monica Höfte. (1998). Induction of systemic resistance by the rhizobacterium Pseudomonas aeruginosa 7NSK2 is a salicylic acid dependent phenomenon in tobacco. Ghent University Academic Bibliography (Ghent University). 8 indexed citations
18.
Bigirimana, Joseph, Geert De Meyer, Joseph Poppe, Yigal Elad, & Monica Höfte. (1997). Induction of systemic resistance on bean (Phaseolus vulgaris) by Trichoderma harziamum. Ghent University Academic Bibliography (Ghent University). 5 indexed citations
19.
Bigirimana, Joseph, et al.. (1997). Induction of systemic resistance on bean (Phaseolus vulgaris) by Trichoderma harzianum. 49 indexed citations
20.
Meyer, Geert De, et al.. (1996). Inductie van systemisch verworven resistentie met de wortelkoloniserende bacterie Pseudomonas aeruginosa 7NSK2. Ghent University Academic Bibliography (Ghent University). 3 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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