David Scheuring
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 1%
Papers in
- Cell Biology 21
- Cellular transport and secretion 19
- Endoplasmic Reticulum Stress and Disease 3
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- Plant nutrient uptake and metabolism 8
- Plant Molecular Biology Research 7
- Plant-Microbe Interactions and Immunity 7
- Co-authors
- David G. Robinson (8 shared papers)Corrado Viotti (7 shared papers)Peter Pimpl (6 shared papers)Jürgen Kleine‐Vehn (8 shared papers)Stefan Hillmer (4 shared papers)Karin Schumacher (4 shared papers)Christian Löfke (5 shared papers)Falco Krüger (3 shared papers)
In The Last Decade
David Scheuring
41 papers receiving 3.7k citations
David Scheuring's Hit Papers
Peers
Comparison fields: 5 of 136
- Cell Biology 964
- Physiology 229
- Epidemiology 1.2k
- Plant Science 1.1k
- Molecular Biology 1.9k
Countries citing papers authored by David Scheuring
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
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-authors
The 25 scholars most cited alongside David Scheuring, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2038 |
| 2 | 2011 | 217 | |
| 3 | 2013 | 159 | |
| 4 | 2015 | 118 | |
| 5 | 2009 | 112 | |
| 6 | 2021 | 84 | |
| 7 | 2020 | 81 | |
| 8 | 2015 | 80 | |
| 9 | 2010 | 79 | |
| 10 | 2022 | 72 | |
| 11 | 2008 | 72 | |
| 12 | 2018 | 66 | |
| 13 | 2021 | 65 | |
| 14 | 2012 | 56 | |
| 15 | 2010 | 56 | |
| 16 | 2012 | 45 | |
| 17 | 2020 | 43 | |
| 18 | 2014 | 37 | |
| 19 | 2012 | 36 | |
| 20 | 2012 | 32 |
About David Scheuring
David Scheuring is a scholar working on Cell Biology, Plant Science, Molecular Biology, Physiology and Renewable Energy, Sustainability and the Environment, having authored 43 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (19 papers), Photosynthetic Processes and Mechanisms (15 papers), Plant nutrient uptake and metabolism (8 papers), Plant Molecular Biology Research (7 papers), Plant-Microbe Interactions and Immunity (7 papers), Plant Reproductive Biology (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Cell Biology (964 citations), Physiology (229 citations), Epidemiology (1.2k citations), Plant Science (1.1k citations) and Molecular Biology (1.9k citations). David Scheuring has collaborated with scholars based in Germany, Austria and Hong Kong. Frequent co-authors include David G. Robinson, Corrado Viotti, Peter Pimpl, Jürgen Kleine‐Vehn, Stefan Hillmer, Karin Schumacher, Christian Löfke, Falco Krüger, Markus Langhans and Julia Bubeck. Their work appears in journals such as The Plant Cell, Frontiers in Plant Science, The Plant Journal, Journal of Experimental Botany and PLANT PHYSIOLOGY.
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.