Siegfried Engelbrecht-Vandré
- Cell Biology top 1%
- Molecular Biology
- Physiology top 1%
- Epidemiology
- Physiology top 10%
- Co-authors
- Christian UngermannCornelia BröckerAngela PerzMargarita CabreraClemens W. OstrowiczAnne KuhleeStefan RaunserChristos Gatsogiannis
- Topics
- Cellular transport and secretion (10 papers)Lipid Membrane Structure and Behavior (5 papers)Calcium signaling and nucleotide metabolism (4 papers)
- Cited by
- PhysiologyCell BiologyAging
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Siegfried Engelbrecht-Vandré
10 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 64
- Cell Biology 894
- Molecular Biology 646
- Physiology 297
- Epidemiology 227
- Physiology 196
Countries citing papers authored by Siegfried Engelbrecht-Vandré
This map shows the geographic impact of Siegfried Engelbrecht-Vandré'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 Siegfried Engelbrecht-Vandré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siegfried Engelbrecht-Vandré more than expected).
Fields of papers citing papers by Siegfried Engelbrecht-Vandré
This network shows the impact of papers produced by Siegfried Engelbrecht-Vandré. 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 Siegfried Engelbrecht-Vandré. The network helps show where Siegfried Engelbrecht-Vandré may publish in the future.
Co-authorship network of co-authors of Siegfried Engelbrecht-Vandré
This figure shows the co-authorship network connecting the top 25 collaborators of Siegfried Engelbrecht-Vandré. A scholar is included among the top collaborators of Siegfried Engelbrecht-Vandré 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 Siegfried Engelbrecht-Vandré. Siegfried Engelbrecht-Vandré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 14 | |
| 3 | 83 | |
| 4 | 13 | |
| 5 | 219 | |
| 6 | 27 | |
| 7 | 118 | |
| 8 | 172 | |
| 9 | 308 | |
| 10 | 98 |
About Siegfried Engelbrecht-Vandré
Siegfried Engelbrecht-Vandré is a scholar working on Physiology, Cell Biology and Molecular Biology, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), Lipid Membrane Structure and Behavior (5 papers) and Calcium signaling and nucleotide metabolism (4 papers). The work is most often cited by research in Physiology (297 citations), Cell Biology (894 citations) and Aging (17 citations). Siegfried Engelbrecht-Vandré has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Christian Ungermann, Cornelia Bröcker, Angela Perz, Margarita Cabrera, Clemens W. Ostrowicz, Anne Kuhlee, Stefan Raunser, Christos Gatsogiannis, Jens Lachmann and Karolina Peplowska. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.