Anke Penno
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
-
- Sphingolipid Metabolism and Signaling 13
- Lipid Membrane Structure and Behavior 2
- Cell Biology 10
- Endoplasmic Reticulum Stress and Disease 8
- Cellular transport and secretion 4
- Co-authors
- Thorsten Hornemann (14 shared papers)Arnold von Eckardstein (10 shared papers)Christoph Thiele (5 shared papers)Robert H. Brown (3 shared papers)Florian Eichler (3 shared papers)Gregor Hackenbroich (1 shared paper)Daniela Ernst (3 shared papers)Garth A. Nicholson (2 shared papers)
- Journals
- Journal of Lipid Research (4 papers)Journal of Biological Chemistry (3 papers)Chemistry and Physics of Lipids (3 papers)Human Mutation (1 paper)NeuroMolecular Medicine (1 paper)
- Partner nations
- SwitzerlandGermanyBelgium
In The Last Decade
Anke Penno
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Biochemistry 205
- Cell Biology 381
- Physiology 353
- Molecular Biology 876
- Cellular and Molecular Neuroscience 193
Countries citing papers authored by Anke Penno
This map shows the geographic impact of Anke Penno'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 Anke Penno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Penno more than expected).
Fields of papers citing papers by Anke Penno
This network shows the impact of papers produced by Anke Penno. 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 Anke Penno. The network helps show where Anke Penno may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Penno, 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 | 279 | |
| 2 | 2011 | 152 | |
| 3 | 2009 | 148 | |
| 4 | 2010 | 134 | |
| 5 | 2012 | 112 | |
| 6 | 2009 | 76 | |
| 7 | 2016 | 66 | |
| 8 | 2016 | 47 | |
| 9 | 2009 | 37 | |
| 10 | 2020 | 34 | |
| 11 | 2011 | 32 | |
| 12 | 2015 | 25 | |
| 13 | 2016 | 22 | |
| 14 | 2009 | 22 | |
| 15 | 2017 | 18 | |
| 16 | 2019 | 17 | |
| 17 | 2008 | 3 | |
| 18 | 2009 | 2 | |
| 19 | 2008 | 1 |
About Anke Penno
Anke Penno is a scholar working on Molecular Biology, Cell Biology, Physiology, Biochemistry and Organic Chemistry, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (13 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Lysosomal Storage Disorders Research (4 papers), Cellular transport and secretion (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Lipid metabolism and biosynthesis (3 papers), Hereditary Neurological Disorders (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Biochemistry (205 citations), Cell Biology (381 citations), Physiology (353 citations), Molecular Biology (876 citations) and Cellular and Molecular Neuroscience (193 citations). Anke Penno has collaborated with scholars based in Switzerland, Germany and Belgium. Frequent co-authors include Thorsten Hornemann, Arnold von Eckardstein, Christoph Thiele, Robert H. Brown, Florian Eichler, Gregor Hackenbroich, Daniela Ernst, Garth A. Nicholson, Mary M. Reilly and Matilde Laurá. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Chemistry and Physics of Lipids, Human Mutation and NeuroMolecular Medicine.
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.