Kai H. Edel

2.3k total citations · 1 hit paper
12 papers, 1.6k citations indexed

About

Kai H. Edel is a scholar working on Plant Science, Molecular Biology and Physiology. According to data from OpenAlex, Kai H. Edel has authored 12 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 5 papers in Molecular Biology and 1 paper in Physiology. Recurrent topics in Kai H. Edel's work include Plant Stress Responses and Tolerance (7 papers), Plant Molecular Biology Research (7 papers) and Plant nutrient uptake and metabolism (3 papers). Kai H. Edel is often cited by papers focused on Plant Stress Responses and Tolerance (7 papers), Plant Molecular Biology Research (7 papers) and Plant nutrient uptake and metabolism (3 papers). Kai H. Edel collaborates with scholars based in Germany, Saudi Arabia and United States. Kai H. Edel's co-authors include Jörg Kudla, Marcela Morato Notini, Emmanuel Rezende Naves, Daniel F. Voytas, Agustín Zsögön, Lázaro Eustáquio Pereira Peres, Tomáš Čermák, Luciano Freschi, Stefan Weinl and Elodie Marchadier and has published in prestigious journals such as The EMBO Journal, Nature Biotechnology and Current Biology.

In The Last Decade

Kai H. Edel

12 papers receiving 1.5k citations

Hit Papers

De novo domestication of wild tomato using genome editing 2018 2026 2020 2023 2018 100 200 300 400 500

Peers

Kai H. Edel
Jae Sung Shim South Korea
Liwang Qi China
Wenqi Li China
Bindu Joseph United States
Jae Sung Shim South Korea
Kai H. Edel
Citations per year, relative to Kai H. Edel Kai H. Edel (= 1×) peers Jae Sung Shim

Countries citing papers authored by Kai H. Edel

Since Specialization
Citations

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

Fields of papers citing papers by Kai H. Edel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai H. Edel. 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 Kai H. Edel. The network helps show where Kai H. Edel may publish in the future.

Co-authorship network of co-authors of Kai H. Edel

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

All Works

12 of 12 papers shown
1.
Fujita, Satoshi, Damien De Bellis, Kai H. Edel, et al.. (2020). SCHENGEN receptor module drives localized ROS production and lignification in plant roots. The EMBO Journal. 39(9). e103894–e103894. 81 indexed citations
2.
Mergner, Julia, Daniel Hemmler, David Chiasson, et al.. (2019). Rebuilding core abscisic acid signaling pathways of Arabidopsis in yeast. The EMBO Journal. 38(17). 30 indexed citations
3.
Zsögön, Agustín, Tomáš Čermák, Emmanuel Rezende Naves, et al.. (2018). De novo domestication of wild tomato using genome editing. Nature Biotechnology. 36(12). 1211–1216. 535 indexed citations breakdown →
4.
Köster, Philipp, Lukas Wallrad, Kai H. Edel, et al.. (2018). The battle of two ions: Ca2+ signalling against Na+ stress. Plant Biology. 21(S1). 39–48. 70 indexed citations
5.
Han, Jian‐Pu, Philipp Köster, Martin Scholz, et al.. (2018). Fine‐tuning of RBOHF activity is achieved by differential phosphorylation and Ca2+ binding. New Phytologist. 221(4). 1935–1949. 126 indexed citations
6.
Edel, Kai H., Elodie Marchadier, Colin Brownlee, Jörg Kudla, & Alistair M. Hetherington. (2017). The Evolution of Calcium-Based Signalling in Plants. Current Biology. 27(13). R667–R679. 202 indexed citations
7.
Edel, Kai H. & Jörg Kudla. (2016). Integration of calcium and ABA signaling. Current Opinion in Plant Biology. 33. 83–91. 139 indexed citations
8.
Edel, Kai H., et al.. (2016). A calcium sensor – protein kinase signaling module diversified in plants and is retained in all lineages of Bikonta species. Scientific Reports. 6(1). 31645–31645. 23 indexed citations
9.
Léran, Sophie, Kai H. Edel, Marjorie Pervent, et al.. (2015). Nitrate sensing and uptake in Arabidopsis are enhanced by ABI2, a phosphatase inactivated by the stress hormone abscisic acid. Science Signaling. 8(375). ra43–ra43. 171 indexed citations
10.
Edel, Kai H. & Jörg Kudla. (2014). Increasing complexity and versatility: How the calcium signaling toolkit was shaped during plant land colonization. Cell Calcium. 57(3). 231–246. 105 indexed citations
11.
Schlücking, Kathrin, Kai H. Edel, Philipp Köster, et al.. (2013). A New β-Estradiol-Inducible Vector Set that Facilitates Easy Construction and Efficient Expression of Transgenes Reveals CBL3-Dependent Cytoplasm to Tonoplast Translocation of CIPK5. Molecular Plant. 6(6). 1814–1829. 55 indexed citations
12.
Auld, Stuart K. J. R., Kai H. Edel, & Tom J. Little. (2012). THE CELLULAR IMMUNE RESPONSE OFDAPHNIA MAGNAUNDER HOST-PARASITE GENETIC VARIATION AND VARIATION IN INITIAL DOSE. Evolution. 66(10). 3287–3293. 20 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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