Kai Prager
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Prion Diseases and Protein Misfolding 1
-
- Alzheimer's disease research and treatments 6
- Lysosomal Storage Disorders Research 2
- Co-authors
- Jochen Walter (8 shared papers)Irfan Y. Tamboli (4 shared papers)Michael T. Heneka (2 shared papers)Christian Haass (2 shared papers)Esther Barth (3 shared papers)Konrad Sandhoff (2 shared papers)Tina Wahle (1 shared paper)Michael Famulok (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Cellular and Molecular Immunology (1 paper)Molecular and Cellular Neuroscience (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Chemistry and Physics of Lipids (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Kai Prager
12 papers receiving 536 citations
Peers
Comparison fields: 5 of 58
- Physiology 285
- Cell Biology 119
- Neurology 47
- Gastroenterology 22
- Neurology 61
Countries citing papers authored by Kai Prager
This map shows the geographic impact of Kai Prager'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 Kai Prager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Prager more than expected).
Fields of papers citing papers by Kai Prager
This network shows the impact of papers produced by Kai Prager. 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 Kai Prager. The network helps show where Kai Prager may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Prager, 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 | 2005 | 116 | |
| 2 | 2005 | 113 | |
| 3 | 2005 | 62 | |
| 4 | 2022 | 60 | |
| 5 | 2008 | 59 | |
| 6 | 2010 | 53 | |
| 7 | 2003 | 29 | |
| 8 | 2011 | 28 | |
| 9 | 2007 | 23 | |
| 10 | 2016 | 2 | |
| 11 | 2006 | 1 | |
| 12 | 2008 | 1 | |
| 13 | 1998 | 0 |
About Kai Prager
Kai Prager is a scholar working on Molecular Biology, Physiology, Gastroenterology, Organic Chemistry and Surgery, having authored 13 papers that have together received 547 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Glycosylation and Glycoproteins Research (2 papers), Lysosomal Storage Disorders Research (2 papers), Celiac Disease Research and Management (2 papers), Digestive system and related health (1 paper), Galectins and Cancer Biology (1 paper), Amino Acid Enzymes and Metabolism (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Physiology (285 citations), Cell Biology (119 citations), Neurology (47 citations), Gastroenterology (22 citations) and Neurology (61 citations). Kai Prager has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Jochen Walter, Irfan Y. Tamboli, Michael T. Heneka, Christian Haass, Esther Barth, Konrad Sandhoff, Tina Wahle, Michael Famulok, Andreas Kern and Christian Behl. Their work appears in journals such as Journal of Biological Chemistry, Cellular and Molecular Immunology, Molecular and Cellular Neuroscience, Bioorganic & Medicinal Chemistry Letters and Chemistry and Physics of Lipids.
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.