Verena Dederer
Impact in
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
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- Ubiquitin and proteasome pathways
- Mitochondrial Function and Pathology
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Bacterial biofilms and quorum sensing
Papers in
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- Plant Gene Expression Analysis 3
- Mitochondrial Function and Pathology 3
- Plant biochemistry and biosynthesis 2
- Ubiquitin and proteasome pathways 1
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- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Marius K. Lemberg (5 shared papers)Anton Khmelinskii (2 shared papers)Michael Knop (2 shared papers)Sebastian Mathea (9 shared papers)Voytek Okreglak (1 shared paper)Stefan Knapp (7 shared papers)Deep Chatterjee (5 shared papers)Janosch Klebensberger (1 shared paper)
- Journals
- Science Advances (3 papers)Nature Methods (1 paper)Journal of Medicinal Chemistry (1 paper)Small Methods (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Verena Dederer
16 papers receiving 483 citations
Peers
Comparison fields: 5 of 69
- Cell Biology 125
- Molecular Biology 360
- Molecular Medicine 14
- Neurology 33
- Aging 4
Countries citing papers authored by Verena Dederer
This map shows the geographic impact of Verena Dederer'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 Verena Dederer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verena Dederer more than expected).
Fields of papers citing papers by Verena Dederer
This network shows the impact of papers produced by Verena Dederer. 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 Verena Dederer. The network helps show where Verena Dederer may publish in the future.
Co-authors
The 25 scholars most cited alongside Verena Dederer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 122 | |
| 2 | 2019 | 74 | |
| 3 | 2018 | 59 | |
| 4 | 2019 | 45 | |
| 5 | 2016 | 39 | |
| 6 | 2019 | 30 | |
| 7 | 2023 | 27 | |
| 8 | 2024 | 23 | |
| 9 | 2021 | 21 | |
| 10 | 2022 | 18 | |
| 11 | 2021 | 10 | |
| 12 | 2025 | 9 | |
| 13 | 2025 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 |
About Verena Dederer
Verena Dederer is a scholar working on Molecular Biology, Cell Biology, Neurology, Spectroscopy and Biomedical Engineering, having authored 16 papers that have together received 484 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (4 papers), Plant Gene Expression Analysis (3 papers), Mitochondrial Function and Pathology (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Plant biochemistry and biosynthesis (2 papers), Analytical Chemistry and Chromatography (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cell Biology (125 citations), Molecular Biology (360 citations), Molecular Medicine (14 citations), Neurology (33 citations) and Aging (4 citations). Verena Dederer has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Marius K. Lemberg, Anton Khmelinskii, Michael Knop, Sebastian Mathea, Voytek Okreglak, Stefan Knapp, Deep Chatterjee, Janosch Klebensberger, Michael Carnell and Staffan Kjelleberg. Their work appears in journals such as Science Advances, Nature Methods, Journal of Medicinal Chemistry, Small Methods and Journal of Cell Science.
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.