Anna Sundborger
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
Papers in
-
- Lipid Membrane Structure and Behavior 9
- Biochemical and Structural Characterization 3
- Signaling Pathways in Disease 1
- Cell Biology 12
- Cellular transport and secretion 12
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Jenny E. Hinshaw (9 shared papers)Oleg Shupliakov (4 shared papers)Emma Evergren (2 shared papers)Jacek Jawień (1 shared paper)Xinghua Zhou (1 shared paper)Olga Vorontsova (2 shared papers)Wolfram Saenger (2 shared papers)Ardeschir Vahedi‐Faridi (2 shared papers)
- Journals
- Biophysical Journal (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Neuroscience (1 paper)Nature Communications (1 paper)BMC Neurology (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Anna Sundborger
14 papers receiving 714 citations
Peers
Comparison fields: 5 of 73
- Cell Biology 444
- Physiology 34
- Molecular Biology 500
- Cellular and Molecular Neuroscience 103
- Immunology 107
Countries citing papers authored by Anna Sundborger
This map shows the geographic impact of Anna Sundborger'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 Anna Sundborger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Sundborger more than expected).
Fields of papers citing papers by Anna Sundborger
This network shows the impact of papers produced by Anna Sundborger. 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 Anna Sundborger. The network helps show where Anna Sundborger may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Sundborger, 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 | 125 | |
| 2 | 2004 | 102 | |
| 3 | 2010 | 98 | |
| 4 | 2015 | 83 | |
| 5 | 2014 | 69 | |
| 6 | 2007 | 66 | |
| 7 | 2010 | 64 | |
| 8 | 2015 | 38 | |
| 9 | 2014 | 33 | |
| 10 | 2020 | 30 | |
| 11 | 2020 | 8 | |
| 12 | 2015 | 2 | |
| 13 | 2017 | 1 | |
| 14 | 2013 | 1 | |
| 15 | 2020 | 0 |
About Anna Sundborger
Anna Sundborger is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Neurology and Immunology, having authored 15 papers that have together received 720 indexed citations. Recurring topics across this work include Cellular transport and secretion (12 papers), Lipid Membrane Structure and Behavior (9 papers), Biochemical and Structural Characterization (3 papers), Neurological diseases and metabolism (2 papers), Hereditary Neurological Disorders (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Signaling Pathways in Disease (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Cell Biology (444 citations), Physiology (34 citations), Molecular Biology (500 citations), Cellular and Molecular Neuroscience (103 citations) and Immunology (107 citations). Anna Sundborger has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Jenny E. Hinshaw, Oleg Shupliakov, Emma Evergren, Jacek Jawień, Xinghua Zhou, Olga Vorontsova, Wolfram Saenger, Ardeschir Vahedi‐Faridi, Volker Haucke and Arndt Pechstein. Their work appears in journals such as Biophysical Journal, Proceedings of the National Academy of Sciences, Journal of Neuroscience, Nature Communications and BMC Neurology.
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.