Christina Rabe
- Physiology top 2%
- Psychiatry and Mental health top 2%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Neurology top 5%
- Co-authors
- Tobias BittnerGerald L. CloreHerbert BlessNorbert SchwarzY ZopfKaj BlennowHenrik ZetterbergHarald Dormann
- Topics
- Alzheimer's disease research and treatments (14 papers)Dementia and Cognitive Impairment Research (8 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Christina Rabe
43 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Physiology 946
- Psychiatry and Mental health 705
- Molecular Biology 312
- Cognitive Neuroscience 307
- Neurology 240
Countries citing papers authored by Christina Rabe
This map shows the geographic impact of Christina Rabe'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 Christina Rabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Rabe more than expected).
Fields of papers citing papers by Christina Rabe
This network shows the impact of papers produced by Christina Rabe. 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 Christina Rabe. The network helps show where Christina Rabe may publish in the future.
Co-authorship network of co-authors of Christina Rabe
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Rabe. A scholar is included among the top collaborators of Christina Rabe 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 Christina Rabe. Christina Rabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | Multi-modal Geographic Atrophy Lesion Growth Rate Prediction using Deep Learning | 2 |
| 5 | Initial lesion growth rates and other baseline prognostic factors can improve the design of clinical trials in Geographic Atrophy (GA) | 2 |
| 6 | 86 | |
| 7 | 241 | |
| 8 | 9 | |
| 9 | 50 | |
| 10 | 6 | |
| 11 | 53 | |
| 12 | 33 | |
| 13 | 11 | |
| 14 | 42 | |
| 15 | 192 | |
| 16 | 77 | |
| 17 | 32 | |
| 18 | 13 | |
| 19 | 19 | |
| 20 | 5 |
About Christina Rabe
Christina Rabe is a scholar working on Toxicology, Psychiatry and Mental health and Physiology, having authored 45 papers that have together received 2.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Dementia and Cognitive Impairment Research (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Psychiatry and Mental health (705 citations), Toxicology (143 citations) and Physiology (946 citations). Christina Rabe has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Tobias Bittner, Gerald L. Clore, Herbert Bless, Norbert Schwarz, Y Zopf, Kaj Blennow, Henrik Zetterberg, Harald Dormann, Antje Neubert and Udo Eichenlaub. Their work appears in journals such as Journal of Personality and Social Psychology, Journal of Clinical Oncology and 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.