Luisa M. Trindade

5.3k total citations · 1 hit paper
115 papers, 3.3k citations indexed

About

Luisa M. Trindade is a scholar working on Plant Science, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Luisa M. Trindade has authored 115 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Plant Science, 35 papers in Biomedical Engineering and 33 papers in Molecular Biology. Recurrent topics in Luisa M. Trindade's work include Biofuel production and bioconversion (34 papers), Bioenergy crop production and management (30 papers) and Polysaccharides and Plant Cell Walls (19 papers). Luisa M. Trindade is often cited by papers focused on Biofuel production and bioconversion (34 papers), Bioenergy crop production and management (30 papers) and Polysaccharides and Plant Cell Walls (19 papers). Luisa M. Trindade collaborates with scholars based in Netherlands, Germany and United Kingdom. Luisa M. Trindade's co-authors include Richard G. F. Visser, Stefano Amaducci, Elma M. J. Salentijn, O. Dolstra, Tim van der Weijde, Alessandra Fracasso, Andrés F. Torres, Ming Yang, Qingying Zhang and Claire Lessa Alvim Kamei and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Nature Methods.

In The Last Decade

Luisa M. Trindade

113 papers receiving 3.2k citations

Hit Papers

Synthetic bacterial community derived from a desert rhizo... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luisa M. Trindade Netherlands 33 1.9k 1.0k 957 611 287 115 3.3k
Kenji Iiyama Japan 28 1.4k 0.8× 849 0.8× 1.3k 1.4× 309 0.5× 456 1.6× 69 3.2k
Seth DeBolt United States 35 2.2k 1.2× 1.3k 1.3× 1.1k 1.1× 219 0.4× 362 1.3× 83 3.7k
Leonardo D. Gómez United Kingdom 34 2.2k 1.2× 1.7k 1.6× 1.8k 1.9× 393 0.6× 255 0.9× 124 4.5k
Wellington Muchero United States 38 2.6k 1.4× 1.6k 1.6× 1.1k 1.1× 444 0.7× 148 0.5× 114 4.4k
Chunxiang Fu China 40 3.0k 1.6× 2.9k 2.8× 802 0.8× 516 0.8× 159 0.6× 117 4.5k
Saad Alamri Saudi Arabia 33 2.0k 1.1× 600 0.6× 344 0.4× 140 0.2× 376 1.3× 223 4.0k
Jay Prakash Verma India 36 3.4k 1.8× 1.1k 1.0× 717 0.7× 334 0.5× 173 0.6× 93 5.3k
Heather Youngs United States 14 1.5k 0.8× 872 0.8× 1.2k 1.3× 343 0.6× 162 0.6× 21 2.7k
K. Ruel France 31 2.0k 1.1× 1.5k 1.4× 1.2k 1.3× 100 0.2× 264 0.9× 76 3.4k
Valeria Ventorino Italy 34 1.2k 0.7× 645 0.6× 600 0.6× 134 0.2× 392 1.4× 74 2.8k

Countries citing papers authored by Luisa M. Trindade

Since Specialization
Citations

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

Fields of papers citing papers by Luisa M. Trindade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luisa M. Trindade. 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 Luisa M. Trindade. The network helps show where Luisa M. Trindade may publish in the future.

Co-authorship network of co-authors of Luisa M. Trindade

This figure shows the co-authorship network connecting the top 25 collaborators of Luisa M. Trindade. A scholar is included among the top collaborators of Luisa M. Trindade 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 Luisa M. Trindade. Luisa M. Trindade 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.
Jong, Catrienus de, et al.. (2025). GWAS Identifies SNP Markers and Candidate Genes for Off-Flavours and Protein Content in Faba Bean (Vicia faba L.). Plants. 14(2). 193–193. 2 indexed citations
2.
Hackenberg, Dieter, et al.. (2025). High‐throughput methods for measuring protein extractability in sugar beet ( Beta vulgaris L.) leaves. Journal of the Science of Food and Agriculture. 105(15). 8412–8421.
3.
Yu, Yafei, et al.. (2024). Understanding the protein extraction potential of tomato leaves (Solanum lycopersicum) through mass balance modelling. Innovative Food Science & Emerging Technologies. 96. 103790–103790. 1 indexed citations
4.
Jenkins, Wendy, et al.. (2024). Will the protein transition lead to sustainable food systems?. Global Food Security. 43. 100809–100809. 4 indexed citations
5.
Yu, Yafei, et al.. (2024). Prone to loss: Senescence-regulated protein degradation leads to lower protein extractability in aging tomato leaves. Plant Science. 350. 112284–112284. 3 indexed citations
6.
Jurišić, Vanja, J. C. Brown, Luisa M. Trindade, et al.. (2024). Assessment of the radionuclide remediation potential of novel miscanthus hybrids. Heliyon. 10(6). e27788–e27788. 2 indexed citations
7.
Yu, Yafei, et al.. (2024). Cell wall as a barrier for protein extraction from tomato leaves: A biochemical study. Plant Physiology and Biochemistry. 208. 108495–108495. 8 indexed citations
8.
Loo, E.N. van, et al.. (2023). A genome wide association study to dissect the genetic architecture of agronomic traits in Andean lupin (Lupinus mutabilis). Frontiers in Plant Science. 13. 1099293–1099293. 2 indexed citations
10.
McFarlane, Heather E., Kelsey L. Picard, Timothy E. Gookin, et al.. (2021). A G protein-coupled receptor-like module regulates cellulose synthase secretion from the endomembrane system in Arabidopsis. Developmental Cell. 56(10). 1484–1497.e7. 29 indexed citations
11.
Salentijn, Elma M. J., Maria‐João Paulo, Claire Thouminot, et al.. (2020). Genetic Variability of Morphological, Flowering, and Biomass Quality Traits in Hemp (Cannabis sativa L.). Frontiers in Plant Science. 11. 102–102. 58 indexed citations
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14.
Kalinina, Olena, R. Sanderson, Astley Hastings, et al.. (2017). Extending Miscanthus Cultivation with Novel Germplasm at Six Contrasting Sites. Frontiers in Plant Science. 8. 563–563. 36 indexed citations
15.
Xu, Xuan, et al.. (2017). Engineering Potato Starch with a Higher Phosphate Content. PLoS ONE. 12(1). e0169610–e0169610. 32 indexed citations
16.
Xu, Xuan, Annemarie Dechesne, Richard G. F. Visser, & Luisa M. Trindade. (2016). Expression of an (Engineered) 4,6-α-Glucanotransferase in Potato Results in Changes in Starch Characteristics. PLoS ONE. 11(12). e0166981–e0166981. 2 indexed citations
17.
Vain, Thomas, Elizabeth Faris Crowell, Hélène Timpano, et al.. (2014). The Cellulase KORRIGAN Is Part of the Cellulose Synthase Complex . PLANT PHYSIOLOGY. 165(4). 1521–1532. 133 indexed citations
18.
Huang, Xing‐Feng, et al.. (2014). Expression of an amylosucrase gene in potato results in larger starch granules with novel properties. Planta. 240(2). 409–421. 12 indexed citations
19.
Carroll, Andrew, Nasim Mansoori, Shundai Li, et al.. (2012). Complexes with Mixed Primary and Secondary Cellulose Synthases Are Functional in Arabidopsis Plants  . PLANT PHYSIOLOGY. 160(2). 726–737. 77 indexed citations
20.
Bachem, C., Beatrix Horváth, Luisa M. Trindade, et al.. (2001). A potato tuber‐expressed mRNA with homology to steroid dehydrogenases affects gibberellin levels and plant development. The Plant Journal. 25(6). 595–604. 31 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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