David Scheuring

2.2k total citations
37 papers, 1.5k citations indexed

About

David Scheuring is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, David Scheuring has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 19 papers in Cell Biology and 19 papers in Plant Science. Recurrent topics in David Scheuring's work include Cellular transport and secretion (17 papers), Photosynthetic Processes and Mechanisms (14 papers) and Plant-Microbe Interactions and Immunity (6 papers). David Scheuring is often cited by papers focused on Cellular transport and secretion (17 papers), Photosynthetic Processes and Mechanisms (14 papers) and Plant-Microbe Interactions and Immunity (6 papers). David Scheuring collaborates with scholars based in Germany, Austria and Hong Kong. David Scheuring's co-authors include Corrado Viotti, David G. Robinson, Peter Pimpl, Jürgen Kleine‐Vehn, Stefan Hillmer, Christian Löfke, Karin Schumacher, Falco Krüger, Markus Langhans and Julia Bubeck 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

David Scheuring

34 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Scheuring Germany 22 1.0k 944 606 83 82 37 1.5k
Melanie Krebs Germany 19 1.5k 1.4× 1.8k 1.9× 360 0.6× 63 0.8× 44 0.5× 37 2.4k
Chian Kwon South Korea 20 887 0.9× 1.3k 1.3× 408 0.7× 45 0.5× 32 0.4× 44 1.6k
Yong Cui Hong Kong 22 1.2k 1.2× 1.0k 1.1× 593 1.0× 460 5.5× 40 0.5× 41 2.1k
Nathalie Leborgne‐Castel France 19 803 0.8× 962 1.0× 312 0.5× 58 0.7× 20 0.2× 37 1.5k
Kentaro Tamura Japan 33 2.8k 2.7× 2.1k 2.2× 1.1k 1.8× 130 1.6× 56 0.7× 73 3.6k
Imara Y. Perera United States 27 1.5k 1.4× 1.8k 2.0× 335 0.6× 17 0.2× 34 0.4× 51 2.4k
Daniël Van Damme Belgium 35 3.0k 2.9× 3.2k 3.4× 1.3k 2.1× 63 0.8× 101 1.2× 82 4.1k
Ian Moore United Kingdom 16 1.7k 1.7× 1.4k 1.5× 1.0k 1.7× 40 0.5× 23 0.3× 16 2.2k
Yonglun Zeng Hong Kong 22 1.2k 1.2× 1.1k 1.1× 585 1.0× 373 4.5× 21 0.3× 41 1.9k
Beixin Mo China 26 1.8k 1.7× 2.0k 2.1× 218 0.4× 34 0.4× 30 0.4× 75 2.7k

Countries citing papers authored by David Scheuring

Since Specialization
Citations

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

Fields of papers citing papers by David Scheuring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Scheuring

This figure shows the co-authorship network connecting the top 25 collaborators of David Scheuring. A scholar is included among the top collaborators of David Scheuring 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 David Scheuring. David Scheuring 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.
2.
Müller, Jonas, et al.. (2025). Salicylic acid inhibits V-ATPase activity and restricts cell elongation. PLANT PHYSIOLOGY. 199(2). 2 indexed citations
3.
Feraru, Elena, Sebastian N. W. Hoernstein, Mugurel I. Feraru, et al.. (2025). ERAD machinery controls the conditional turnover of PIN-LIKES in plants. Science Advances. 11(38). eadx5027–eadx5027.
4.
Spaniol, Benjamin, Frederik Sommer, Stefan Geimer, et al.. (2025). Complexome profiling of the Chlamydomonas psb28 mutant reveals TEF5 as an early PSII assembly factor. The Plant Cell. 37(6). 1 indexed citations
5.
Müller, Tobias & David Scheuring. (2024). At knifepoint: Appressoria-dependent turgor pressure of filamentous plant pathogens. Current Opinion in Plant Biology. 82. 102628–102628.
6.
Müller, Jonas, et al.. (2024). Plant infection by the necrotrophic fungus Botrytis requires actin‐dependent generation of high invasive turgor pressure. New Phytologist. 244(1). 192–201. 5 indexed citations
7.
8.
Niemeyer, Justus, et al.. (2023). CLPB3 is required for the removal of chloroplast protein aggregates and thermotolerance in Chlamydomonas. Journal of Experimental Botany. 74(12). 3714–3728. 7 indexed citations
9.
Leisen, Thomas, Isabell Albert, Jonas Müller, et al.. (2022). Botrytis hypersensitive response inducing protein 1 triggers noncanonical PTI to induce plant cell death. PLANT PHYSIOLOGY. 191(1). 125–141. 25 indexed citations
10.
Niemeyer, Justus, et al.. (2021). Real-time monitoring of subcellular H2O2 distribution in Chlamydomonas reinhardtii. The Plant Cell. 33(9). 2935–2949. 55 indexed citations
11.
Zimmer, David, Timo Mühlhaus, Karl Nordström, et al.. (2021). Differential degradation of RNA species by autophagy-related pathways in Arabidopsis. Journal of Experimental Botany. 72(20). 6867–6881. 8 indexed citations
12.
Trösch, Raphael, Lisa Désirée Westrich, David Scheuring, et al.. (2021). Fast and global reorganization of the chloroplast protein biogenesis network during heat acclimation. The Plant Cell. 34(3). 1075–1099. 18 indexed citations
13.
Scheuring, David, et al.. (2021). Vacuolar occupancy is crucial for cell elongation and growth regardless of the underlying mechanism. Plant Signaling & Behavior. 16(8). 1922796–1922796. 4 indexed citations
14.
Scheuring, David, et al.. (2020). To Lead or to Follow: Contribution of the Plant Vacuole to Cell Growth. Frontiers in Plant Science. 11. 553–553. 41 indexed citations
15.
Leisen, Thomas, J.A. Werner, Ulrich Schaffrath, et al.. (2020). CRISPR/Cas with ribonucleoprotein complexes and transiently selected telomere vectors allows highly efficient marker-free and multiple genome editing in Botrytis cinerea. PLoS Pathogens. 16(8). e1008326–e1008326. 68 indexed citations
16.
Löfke, Christian, et al.. (2015). Tricho- and atrichoblast cell files show distinct PIN2 auxin efflux carrier exploitations and are jointly required for defined auxin-dependent root organ growth. Journal of Experimental Botany. 66(16). 5103–5112. 21 indexed citations
17.
Viotti, Corrado, Falco Krüger, Melanie Krebs, et al.. (2013). The Endoplasmic Reticulum Is the Main Membrane Source for Biogenesis of the Lytic Vacuole in Arabidopsis  . The Plant Cell. 25(9). 3434–3449. 147 indexed citations
18.
Scheuring, David, Corrado Viotti, Liwen Jiang, et al.. (2012). Ubiquitin initiates sorting of Golgi and plasma membrane proteins into the vacuolar degradation pathway. BMC Plant Biology. 12(1). 164–164. 55 indexed citations
19.
Scheuring, David, Corrado Viotti, Falco Krüger, et al.. (2011). Multivesicular Bodies Mature from the Trans -Golgi Network/Early Endosome in Arabidopsis  . The Plant Cell. 23(9). 3463–3481. 203 indexed citations
20.
Bubeck, Julia, David Scheuring, Eric Hummel, et al.. (2008). The Syntaxins SYP31 and SYP81 Control ER–Golgi Trafficking in the Plant Secretory Pathway. Traffic. 9(10). 1629–1652. 70 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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