Ewaut Kissel

521 total citations
11 papers, 268 citations indexed

About

Ewaut Kissel is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Ewaut Kissel has authored 11 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 1 paper in Molecular Biology and 1 paper in Ecology. Recurrent topics in Ewaut Kissel's work include Banana Cultivation and Research (7 papers), Plant nutrient uptake and metabolism (4 papers) and Plant Micronutrient Interactions and Effects (2 papers). Ewaut Kissel is often cited by papers focused on Banana Cultivation and Research (7 papers), Plant nutrient uptake and metabolism (4 papers) and Plant Micronutrient Interactions and Effects (2 papers). Ewaut Kissel collaborates with scholars based in Belgium, Tanzania and Italy. Ewaut Kissel's co-authors include Sébastien Carpentier, Rony Swennen, Patrick Van Dijck, Nelson Avonce, Lies Vandesteene, Tom Beeckman, John E. Lunn, Regina Feil, Johan M. Lorenzen and Piet van Asten and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Ewaut Kissel

10 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ewaut Kissel Belgium 7 248 77 8 8 8 11 268
Chunqiong Shang China 8 241 1.0× 161 2.1× 11 1.4× 5 0.6× 9 1.1× 20 280
Bhabesh Borphukan India 7 232 0.9× 135 1.8× 6 0.8× 13 1.6× 5 0.6× 11 264
Jessica M. Waite United States 8 211 0.9× 123 1.6× 6 0.8× 5 0.6× 4 0.5× 14 232
Chuyu Lin China 7 147 0.6× 79 1.0× 12 1.5× 4 0.5× 2 0.3× 16 190
Victor Hermand United States 6 348 1.4× 142 1.8× 11 1.4× 10 1.3× 5 0.6× 6 369
Alba Lloret Spain 9 254 1.0× 215 2.8× 12 1.5× 4 0.5× 6 0.8× 14 289
Young‐Sam Go South Korea 4 294 1.2× 149 1.9× 9 1.1× 3 0.4× 5 0.6× 11 322
Yun‐Wei Kuo Taiwan 9 260 1.0× 127 1.6× 9 1.1× 7 0.9× 3 0.4× 12 286
Daling Feng China 9 196 0.8× 137 1.8× 11 1.4× 10 1.3× 5 0.6× 25 243
Caroline Cukier France 9 313 1.3× 86 1.1× 7 0.9× 31 3.9× 7 0.9× 16 354

Countries citing papers authored by Ewaut Kissel

Since Specialization
Citations

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

Fields of papers citing papers by Ewaut Kissel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewaut Kissel

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

All Works

11 of 11 papers shown
1.
Xue, Wen, et al.. (2024). Identifying phenotypic markers explaining positive sorghum response to sowing density using 3D-imaging. SHILAP Revista de lepidopterología. 10. 100756–100756.
2.
Dita, Miguel, Luı́s Teixeira, Cheng Li, et al.. (2021). Practical guidelines for early screening and field evaluation of banana against Fusarium wilt, Pseudocercospora leaf spots and drought. Agritrop (Cirad). 6 indexed citations
3.
Choudhary, Sunita, et al.. (2021). Machine Learning-Based Plant Detection Algorithms to Automate Counting Tasks Using 3D Canopy Scans. Sensors. 21(23). 8022–8022. 6 indexed citations
4.
Cenci, Alberto, Yann Hueber, Yasmín Zorrilla-Fontanesi, et al.. (2019). Effect of paleopolyploidy and allopolyploidy on gene expression in banana. BMC Genomics. 20(1). 244–244. 24 indexed citations
5.
Kissel, Ewaut, et al.. (2019). Using Growth and Transpiration Phenotyping Under Controlled Conditions to Select Water Efficient Banana Genotypes. Frontiers in Plant Science. 10. 352–352. 20 indexed citations
6.
Hueber, Yann, et al.. (2018). Homeolog expression analysis in an allotriploid non-model crop via integration of transcriptomics and proteomics. Scientific Reports. 8(1). 1353–1353. 26 indexed citations
7.
Zorrilla-Fontanesi, Yasmín, Mathieu Rouard, Alberto Cenci, et al.. (2016). Differential root transcriptomics in a polyploid non-model crop: the importance of respiration during osmotic stress. Scientific Reports. 6(1). 22583–22583. 35 indexed citations
8.
Kissel, Ewaut, Bart Panis, Mathieu Rouard, et al.. (2016). Abiotic stress research in crops using -omics approaches: drought stress and banana in the spotlight. Acta Horticulturae. 81–90. 8 indexed citations
9.
Kissel, Ewaut, Piet van Asten, Rony Swennen, Johan M. Lorenzen, & Sébastien Carpentier. (2015). Transpiration efficiency versus growth: Exploring the banana biodiversity for drought tolerance. Scientia Horticulturae. 185. 175–182. 35 indexed citations
10.
Janiak, Michał Adam, et al.. (2015). THE UNKNOWN SHADOWS OF TREHALASE.. PubMed. 80(1). 71–6. 1 indexed citations
11.
Vandesteene, Lies, Ewaut Kissel, Sébastien Carpentier, et al.. (2013). Overexpression of the Trehalase Gene AtTRE1 Leads to Increased Drought Stress Tolerance in Arabidopsis and Is Involved in Abscisic Acid-Induced Stomatal Closure  . PLANT PHYSIOLOGY. 161(3). 1158–1171. 107 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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