Gerold J. M. Beckers

4.6k total citations · 2 hit papers
19 papers, 3.4k citations indexed

About

Gerold J. M. Beckers is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Gerold J. M. Beckers has authored 19 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 10 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Gerold J. M. Beckers's work include Plant-Microbe Interactions and Immunity (8 papers), Plant Molecular Biology Research (4 papers) and Plant Stress Responses and Tolerance (3 papers). Gerold J. M. Beckers is often cited by papers focused on Plant-Microbe Interactions and Immunity (8 papers), Plant Molecular Biology Research (4 papers) and Plant Stress Responses and Tolerance (3 papers). Gerold J. M. Beckers collaborates with scholars based in Germany, France and United States. Gerold J. M. Beckers's co-authors include Uwe Conrath, Michał Jaśkiewicz, Caspar Langenbach, Steven H. Spoel, Marı́a J. Pozo, Félix Mauch, Mari‐Anne Newman, Alain Pugin, Vı́ctor Flors and Brigitte Mauch‐Mani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Gerold J. M. Beckers

17 papers receiving 3.3k citations

Hit Papers

Priming: Getting Ready for Battle 2006 2026 2012 2019 2006 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerold J. M. Beckers Germany 13 2.8k 874 435 286 226 19 3.4k
Estrella Luna United Kingdom 22 3.0k 1.1× 785 0.9× 335 0.8× 281 1.0× 265 1.2× 33 3.3k
Xiu‐Fang Xin China 19 4.0k 1.4× 1.1k 1.3× 392 0.9× 441 1.5× 182 0.8× 35 4.4k
Pierre Ricci France 25 2.1k 0.7× 886 1.0× 406 0.9× 298 1.0× 176 0.8× 47 2.6k
Henrik U. Stotz United Kingdom 23 2.0k 0.7× 1.2k 1.3× 375 0.9× 243 0.8× 169 0.7× 52 2.6k
Mari‐Anne Newman Denmark 33 4.8k 1.7× 1.5k 1.7× 320 0.7× 515 1.8× 193 0.9× 51 5.4k
Wendy E. Durrant United States 9 3.0k 1.0× 1.1k 1.2× 204 0.5× 382 1.3× 105 0.5× 9 3.3k
Terrence P. Delaney United States 21 4.1k 1.4× 1.6k 1.8× 315 0.7× 342 1.2× 125 0.6× 28 4.5k
Thierry Heitz France 30 3.1k 1.1× 1.9k 2.2× 726 1.7× 213 0.7× 330 1.5× 46 3.8k
Ulrich Schaffrath Germany 29 3.1k 1.1× 1.1k 1.3× 305 0.7× 611 2.1× 187 0.8× 71 3.4k
Laurent Zimmerli Taiwan 27 4.4k 1.6× 1.3k 1.5× 326 0.7× 498 1.7× 212 0.9× 34 4.8k

Countries citing papers authored by Gerold J. M. Beckers

Since Specialization
Citations

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

Fields of papers citing papers by Gerold J. M. Beckers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerold J. M. Beckers. 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 Gerold J. M. Beckers. The network helps show where Gerold J. M. Beckers may publish in the future.

Co-authorship network of co-authors of Gerold J. M. Beckers

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

All Works

19 of 19 papers shown
1.
Kunkowska, Alicja B, Gerold J. M. Beckers, Christian Meyer, et al.. (2023). Target of rapamycin signaling couples energy to oxygen sensing to modulate hypoxic gene expression in Arabidopsis. Proceedings of the National Academy of Sciences. 120(3). e2212474120–e2212474120. 36 indexed citations
2.
Wang, Xiaorong, et al.. (2021). Purification of MAP–kinase protein complexes and identification of candidate components by XL–TAP–MS. PLANT PHYSIOLOGY. 187(4). 2381–2392. 6 indexed citations
3.
Gourbal, Benjamin, Silvain Pinaud, Gerold J. M. Beckers, et al.. (2018). Innate immune memory: An evolutionary perspective. Immunological Reviews. 283(1). 21–40. 181 indexed citations
4.
Majovsky, Petra, Matthias Buntru, Jörg P. Müller, et al.. (2017). Combined 15N-Labeling and TandemMOAC Quantifies Phosphorylation of MAP Kinase Substrates Downstream of MKK7 in Arabidopsis. Frontiers in Plant Science. 8. 2050–2050. 17 indexed citations
5.
Eisenach, Cornelia, Ulrike Baetz, Jingbo Zhang, et al.. (2017). ABA-Induced Stomatal Closure Involves ALMT4, a Phosphorylation-Dependent Vacuolar Anion Channel of Arabidopsis. The Plant Cell. 29(10). 2552–2569. 84 indexed citations
6.
Nomoto, Mika, Marco Bocola, Ulrich Schwaneberg, et al.. (2016). Substrate thiophosphorylation by Arabidopsis mitogen-activated protein kinases. BMC Plant Biology. 16(1). 48–48. 14 indexed citations
7.
Hoehenwarter, Wolfgang, et al.. (2015). Combining Metabolic 15N Labeling with Improved Tandem MOAC for Enhanced Probing of the Phosphoproteome. Methods in molecular biology. 1306. 81–96. 8 indexed citations
8.
Conrath, Uwe, Gerold J. M. Beckers, Caspar Langenbach, & Michał Jaśkiewicz. (2015). Priming for Enhanced Defense. Annual Review of Phytopathology. 53(1). 97–119. 688 indexed citations breakdown →
9.
Campe, Ruth, Caspar Langenbach, George V. Popescu, et al.. (2015). ABC transporter PEN3/PDR8/ABCG36 interacts with calmodulin that, like PEN3, is required for Arabidopsis nonhost resistance. New Phytologist. 209(1). 294–306. 65 indexed citations
10.
Campe, Ruth, et al.. (2014). Screening for PEN3 interaction partners by protein microarrays. Journal of Plant Diseases and Protection. 121(1). 41–41.
11.
Beckers, Gerold J. M., Wolfgang Hoehenwarter, Horst Röhrig, Uwe Conrath, & Wolfram Weckwerth. (2013). Tandem Metal-Oxide Affinity Chromatography for Enhanced Depth of Phosphoproteome Analysis. Methods in molecular biology. 1072. 621–632. 10 indexed citations
12.
Hoehenwarter, Wolfgang, Ella Nukarinen, Volker Egelhofer, et al.. (2012). Identification of Novel in vivo MAP Kinase Substrates in Arabidopsis thaliana Through Use of Tandem Metal Oxide Affinity Chromatography. Molecular & Cellular Proteomics. 12(2). 369–380. 115 indexed citations
13.
Ricker, Lukas J. A. G., Raed Al Dieri, Gerold J. M. Beckers, et al.. (2010). High Subretinal Fluid Procoagulant Activity in Rhegmatogenous Retinal Detachment. Investigative Ophthalmology & Visual Science. 51(10). 5234–5234. 12 indexed citations
14.
Beckers, Gerold J. M., Michał Jaśkiewicz, William Underwood, et al.. (2009). Mitogen-Activated Protein Kinases 3 and 6 Are Required for Full Priming of Stress Responses inArabidopsis thaliana   . The Plant Cell. 21(3). 944–953. 377 indexed citations
15.
Beckers, Gerold J. M., et al.. (2009). Priming in induced disease resistance of plants.. 44. 15–18.
16.
Beckers, Gerold J. M. & Uwe Conrath. (2007). Priming for stress resistance: from the lab to the field. Current Opinion in Plant Biology. 10(4). 425–431. 303 indexed citations
17.
Beckers, Gerold J. M. & Steven H. Spoel. (2006). Fine-Tuning Plant Defence Signalling: Salicylate versus Jasmonate. Plant Biology. 8(1). 1–10. 356 indexed citations
18.
Beckers, Gerold J. M. & Uwe Conrath. (2006). Microarray data analysis made easy. Trends in Plant Science. 11(7). 322–323. 7 indexed citations
19.
Conrath, Uwe, Gerold J. M. Beckers, Vı́ctor Flors, et al.. (2006). Priming: Getting Ready for Battle. Molecular Plant-Microbe Interactions. 19(10). 1062–1071. 1072 indexed citations breakdown →

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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