Bernhard C. Poschner
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
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- Lipid Membrane Structure and Behavior
- Protein Structure and Dynamics
- Heat shock proteins research
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
Papers in
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- Lipid Membrane Structure and Behavior 7
- Glycosylation and Glycoproteins Research 4
- Protein Structure and Dynamics 2
- Heat shock proteins research 1
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- Cellular transport and secretion 4
- Endoplasmic Reticulum Stress and Disease 1
- Co-authors
- Dieter Langosch (8 shared papers)Mathias Hofmann (6 shared papers)Martin Sikor (1 shared paper)Guo‐Xin Jiang (1 shared paper)F. Ulrich Hartl (1 shared paper)Don C. Lamb (1 shared paper)Manajit Hayer‐Hartl (1 shared paper)Kausik Chakraborty (1 shared paper)
- Journals
- Journal of Molecular Biology (2 papers)Analytical Biochemistry (1 paper)Cell (1 paper)Journal of Mass Spectrometry (1 paper)European Biophysics Journal (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Bernhard C. Poschner
10 papers receiving 358 citations
Peers
Comparison fields: 5 of 57
- Cell Biology 114
- Molecular Biology 312
- Virology 10
- Spectroscopy 34
- Cellular and Molecular Neuroscience 28
Countries citing papers authored by Bernhard C. Poschner
This map shows the geographic impact of Bernhard C. Poschner'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 Bernhard C. Poschner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard C. Poschner more than expected).
Fields of papers citing papers by Bernhard C. Poschner
This network shows the impact of papers produced by Bernhard C. Poschner. 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 Bernhard C. Poschner. The network helps show where Bernhard C. Poschner may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernhard C. Poschner, 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 | 2010 | 117 | |
| 2 | 2006 | 53 | |
| 3 | 2008 | 46 | |
| 4 | 2009 | 29 | |
| 5 | 2012 | 27 | |
| 6 | 2007 | 24 | |
| 7 | 2007 | 24 | |
| 8 | 2009 | 19 | |
| 9 | 2009 | 12 | |
| 10 | 2007 | 9 |
About Bernhard C. Poschner
Bernhard C. Poschner is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Cellular and Molecular Neuroscience and Biotechnology, having authored 10 papers that have together received 360 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Glycosylation and Glycoproteins Research (4 papers), Cellular transport and secretion (4 papers), Protein Structure and Dynamics (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Heat shock proteins research (1 paper), Enzyme Structure and Function (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cell Biology (114 citations), Molecular Biology (312 citations), Virology (10 citations), Spectroscopy (34 citations) and Cellular and Molecular Neuroscience (28 citations). Bernhard C. Poschner has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Dieter Langosch, Mathias Hofmann, Martin Sikor, Guo‐Xin Jiang, F. Ulrich Hartl, Don C. Lamb, Manajit Hayer‐Hartl, Kausik Chakraborty, Albert J. R. Heck and Karolina Peplowska. Their work appears in journals such as Journal of Molecular Biology, Analytical Biochemistry, Cell, Journal of Mass Spectrometry and European Biophysics Journal.
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.