Geert van Geest

664 total citations
18 papers, 329 citations indexed

About

Geert van Geest is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Geert van Geest has authored 18 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 6 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Geert van Geest's work include Plant Physiology and Cultivation Studies (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Postharvest Quality and Shelf Life Management (5 papers). Geert van Geest is often cited by papers focused on Plant Physiology and Cultivation Studies (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Postharvest Quality and Shelf Life Management (5 papers). Geert van Geest collaborates with scholars based in Switzerland, Netherlands and Germany. Geert van Geest's co-authors include Paul Arens, Richard G. F. Visser, Roeland E. Voorrips, Chris Maliepaard, Peter M. Bourke, M.J.M. Smulders, U. van Meeteren, J. Jansen, Arwa Shahin and Danny Esselink and has published in prestigious journals such as Immunity, Bioinformatics and PLoS ONE.

In The Last Decade

Geert van Geest

17 papers receiving 315 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 van Geest Switzerland 11 233 124 86 33 22 18 329
Elena López‐Girona Spain 13 228 1.0× 202 1.6× 49 0.6× 31 0.9× 40 1.8× 18 409
Robyn Lee New Zealand 9 333 1.4× 231 1.9× 23 0.3× 25 0.8× 37 1.7× 18 469
Jordi Morata Spain 9 167 0.7× 130 1.0× 103 1.2× 7 0.2× 15 0.7× 20 287
Eric Weitz United States 3 120 0.5× 156 1.3× 57 0.7× 9 0.3× 6 0.3× 4 268
Nicholas Thomas United States 9 191 0.8× 162 1.3× 55 0.6× 6 0.2× 10 0.5× 11 359
Dibyendu Kumar United States 11 179 0.8× 135 1.1× 59 0.7× 7 0.2× 24 1.1× 21 329
Beibei Liu China 13 223 1.0× 195 1.6× 25 0.3× 10 0.3× 17 0.8× 22 387
Young-Su Seo South Korea 6 333 1.4× 255 2.1× 77 0.9× 5 0.2× 19 0.9× 6 518
Venkata Mangu United States 11 236 1.0× 130 1.0× 42 0.5× 15 0.5× 7 0.3× 15 324
Е. И. Михайлова Russia 11 273 1.2× 223 1.8× 83 1.0× 15 0.5× 20 0.9× 37 364

Countries citing papers authored by Geert van Geest

Since Specialization
Citations

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

Fields of papers citing papers by Geert van Geest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geert van Geest

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

All Works

18 of 18 papers shown
1.
Zhao, Liang, Jingyi Zhang, Nicola Zamboni, et al.. (2024). Lactate dehydrogenase B noncanonically promotes ferroptosis defense in KRAS-driven lung cancer. Cell Death and Differentiation. 32(4). 632–645. 10 indexed citations
2.
Geest, Geert van, et al.. (2024). Using Glittr.org to find, compare and re-use online materials for training and education. PLoS ONE. 19(12). e0308729–e0308729.
3.
Cannarozzi, Gina, Rayko Halitschke, Benoît Boachon, et al.. (2023). A single MYB transcription factor with multiple functions during flower development. New Phytologist. 239(5). 2007–2025. 20 indexed citations
4.
5.
Lischer, Heidi E. L., et al.. (2023). Molecular characterization of cell types in the squid Loligo vulgaris. eLife. 12. 15 indexed citations
6.
Verdonk, Julian C., et al.. (2023). Effect of preharvest conditions on cut-flower quality. Frontiers in Plant Science. 14. 1281456–1281456. 10 indexed citations
7.
Genitsch, Vera, Geert van Geest, José A. Galván, et al.. (2023). Targeted removal of macrophage-secreted interleukin-1 receptor antagonist protects against lethal Candida albicans sepsis. Immunity. 56(8). 1743–1760.e9. 18 indexed citations
8.
Asparuhova, Maria B., et al.. (2023). Differential molecular profiles and associated functionalities characterize connective tissue grafts obtained at different locations and depths in the human palate. International Journal of Oral Science. 15(1). 57–57. 3 indexed citations
9.
Altenburger, Lukas M., Jun Abe, David Miguel Ferreira Francisco, et al.. (2022). Microbial uptake in oral mucosa–draining lymph nodes leads to rapid release of cytotoxic CD8 + T cells lacking a gut-homing phenotype. Science Immunology. 7(72). eabf1861–eabf1861. 8 indexed citations
10.
Bourke, Peter M., Roeland E. Voorrips, Christine A. Hackett, et al.. (2021). Detecting quantitative trait loci and exploring chromosomal pairing in autopolyploids using polyqtlR. Bioinformatics. 37(21). 3822–3829. 15 indexed citations
11.
Bourke, Peter M., Geert van Geest, Roeland E. Voorrips, et al.. (2018). polymapR—linkage analysis and genetic map construction from F1 populations of outcrossing polyploids. Bioinformatics. 34(20). 3496–3502. 65 indexed citations
12.
Geest, Geert van, et al.. (2017). Conclusive evidence for hexasomic inheritance in chrysanthemum based on analysis of a 183 k SNP array. BMC Genomics. 18(1). 585–585. 32 indexed citations
13.
Geest, Geert van, Peter M. Bourke, Roeland E. Voorrips, et al.. (2017). An ultra-dense integrated linkage map for hexaploid chrysanthemum enables multi-allelic QTL analysis. Theoretical and Applied Genetics. 130(12). 2527–2541. 44 indexed citations
14.
Bourke, Peter M., Paul Arens, Roeland E. Voorrips, et al.. (2017). Partial preferential chromosome pairing is genotype dependent in tetraploid rose. The Plant Journal. 90(2). 330–343. 55 indexed citations
15.
Geest, Geert van, et al.. (2016). Breeding for postharvest performance in chrysanthemum by selection against storage-induced degreening of disk florets. Postharvest Biology and Technology. 124. 45–53. 11 indexed citations
16.
Geest, Geert van, et al.. (2015). Genotypic differences in metabolomic changes during storage induced-degreening of chrysanthemum disk florets. Postharvest Biology and Technology. 115. 48–59. 12 indexed citations
17.
Geest, Geert van, U. van Meeteren, & Paul Arens. (2015). CAN PHENOTYPING FOR WATER BALANCE IMPROVE BREEDING FOR VASE LIFE?. Acta Horticulturae. 149–154. 1 indexed citations
18.
Geest, Geert van, et al.. (2012). LEAF EPINASTY IN CHRYSANTHEMUM: ENABLING BREEDING AGAINST AN ADVERSE TRAIT BY PHYSIOLOGICAL RESEARCH. Acta Horticulturae. 345–349. 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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2026